[UAI] CFP: 6th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2010) - Deadlines Extended
(Apologies if you have received multiple CFPs) 6th IFIP INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS INNOVATIONS (AIAI 2010) 5 - 7 October 2010, Ayia Napa, Cyprus http://www.cs.ucy.ac.cy/aiai2010 We kindly inform you that due to numerous requests the deadlines for submitting abstracts, full papers, workshop proposals, and tutorial proposals have been extended. IMPORTANT DATES: Abstract Submission: 20th March 2010 (new deadline extension) Full Paper Submission: 29th March 2010 (new deadline extension) Workshop Proposal Submission: 20th March 2010 (new deadline extension) Tutorial Proposal Submission: 20th March 2010 (new deadline extension) Notification of Acceptance: 28th May 2008 (new deadline extension) Camera-ready Copy Due: 10th June 2010 (new deadline extension) Conference dates: 5 - 7 October 2010 KEYNOTE SPEAKERS: Zbigniew Michalewicz, School of Computer Science and Engineering, University of Adelaide, Australia Alex Gammerman, Department of Computer Science, Royal Holloway, University of London, UK Masoud Mohammadian, Faculty of Information Science and Engineering, University of Canberra: ACT, Australia CALL FOR PAPERS: The abundance of information and increase in computing power currently enables researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI 2010 conference is to provide insights on how Artificial Intelligence may be applied in real world situations and serve the study, analysis and modelling of theoretical and practical issues. Also, research papers describing advanced prototypes, innovative systems, tools and techniques are encouraged. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. Authors are invited to electronically submit original, English-language research contributions or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. SUBMISSIONS: Regular Papers and Workshop Papers: The maximum length permitted is eight (8) pages, formatted according to Springer IFIP series instructions. The Programme Committee may reject papers exceeding this length. Authors are strongly encouraged to use the correct document style from the Springer IFIP website (http://www.springer.com/series/6102). This should be done for their initial submission, so that preparation of the final papers will be simplified. A fully electronic review process by three academic reviewers is planned for all submitted papers. Full papers and workshop or tutorial proposals should be submitted electronically in postscript, pdf or word format. At least one author of each accepted paper is required to register and present the paper. Papers shall not be included in the proceedings if these requirements are not met, nor if the registration fee is not received until the camera-ready deadline. For further information related to the technical programme or other details on the conference, please contact the Organising Chair, Harris Papadopoulos, at h.papadopou...@frederick.ac.cy mailto:h.papadopou...@frederick.ac.cy. WORKSHOPS TUTORIAL PROPOSALS: Workshop proposals comprising original research papers on innovative or otherwise provocative issues within the conference topic areas are also encouraged. Workshops should be held simultaneously with the 6th IFIP AIAI conference. Submitted proposals should include a 2-3 page summary of the topic, including the names and affiliations of Programme Committee members and chairs. Also, the chairs of the workshops should arrange the publication of accepted papers. For questions regarding workshop proposals, please contact the Workshop Chair, Nicos Mateou, at nmat...@mod.gov.cy mailto:nmat...@mod.gov.cy. Proposals for 90-minute tutorials are also invited in areas within the conference’s topics. Tutorial proposals must be 5 pages at most, identifying the intended audience and presenting enough material to provide a sense of what will be covered. For questions related to the tutorials please e-mail the Tutorials Chair, Tasos Sofokleous, at aso...@cs.ucy.ac.cy mailto:aso...@cs.ucy.ac.cy. SPECIAL ISSUES: Based on the reviewers' comments and on the presentation, and after a second peer review process, a number of selected papers will be published in a special issue of the International Journal on Artificial Intelligence Tools http
[UAI] Final Call for Papers: 6th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2010)
(Apologies if you have received multiple CFPs) 6th IFIP INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS INNOVATIONS (AIAI 2010) 5 - 7 October 2010, Ayia Napa, Cyprus http://www.cs.ucy.ac.cy/aiai2010 We kindly inform you that due to numerous requests the deadlines for submitting abstracts, full papers, workshop proposals, and tutorial proposals have been extended. IMPORTANT DATES: Abstract Submission: 20th March 2010 (new deadline extension) Full Paper Submission: 29th March 2010 (new deadline extension) Workshop Proposal Submission: 20th March 2010 (new deadline extension) Tutorial Proposal Submission: 20th March 2010 (new deadline extension) Notification of Acceptance: 28th May 2010 (new deadline extension) Camera-ready Copy Due: 10th June 2010 (new deadline extension) Conference dates: 5 - 7 October 2010 KEYNOTE SPEAKERS: Zbigniew Michalewicz, School of Computer Science and Engineering, University of Adelaide, Australia Alex Gammerman, Department of Computer Science, Royal Holloway, University of London, UK Masoud Mohammadian, Faculty of Information Science and Engineering, University of Canberra: ACT, Australia CALL FOR PAPERS: The abundance of information and increase in computing power currently enables researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI 2010 conference is to provide insights on how Artificial Intelligence may be applied in real world situations and serve the study, analysis and modelling of theoretical and practical issues. Also, research papers describing advanced prototypes, innovative systems, tools and techniques are encouraged. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. Authors are invited to electronically submit original, English-language research contributions or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. SUBMISSIONS: Regular Papers and Workshop Papers: The maximum length permitted is eight (8) pages, formatted according to Springer IFIP series instructions. The Programme Committee may reject papers exceeding this length. Authors are strongly encouraged to use the correct document style from the Springer IFIP website (http://www.springer.com/series/6102). This should be done for their initial submission, so that preparation of the final papers will be simplified. A fully electronic review process by three academic reviewers is planned for all submitted papers. Full papers and workshop or tutorial proposals should be submitted electronically in postscript, pdf or word format. At least one author of each accepted paper is required to register and present the paper. Papers shall not be included in the proceedings if these requirements are not met, nor if the registration fee is not received until the camera-ready deadline. For further information related to the technical programme or other details on the conference, please contact the Organising Chair, Harris Papadopoulos, at h.papadopou...@frederick.ac.cy mailto:h.papadopou...@frederick.ac.cy. WORKSHOPS TUTORIAL PROPOSALS: Workshop proposals comprising original research papers on innovative or otherwise provocative issues within the conference topic areas are also encouraged. Workshops should be held simultaneously with the 6th IFIP AIAI conference. Submitted proposals should include a 2-3 page summary of the topic, including the names and affiliations of Programme Committee members and chairs. Also, the chairs of the workshops should arrange the publication of accepted papers. For questions regarding workshop proposals, please contact the Workshop Chair, Nicos Mateou, at nmat...@mod.gov.cy mailto:nmat...@mod.gov.cy. Proposals for 90-minute tutorials are also invited in areas within the conference’s topics. Tutorial proposals must be 5 pages at most, identifying the intended audience and presenting enough material to provide a sense of what will be covered. For questions related to the tutorials please e-mail the Tutorials Chair, Tasos Sofokleous, at aso...@cs.ucy.ac.cy mailto:aso...@cs.ucy.ac.cy. SPECIAL ISSUES: Based on the reviewers' comments and on the presentation, and after a second peer review process, a number of selected papers will be published in a special issue of the following journals: International Journal on Artificial Intelligence Tools http://www.worldscinet.com/ijait/ijait.shtml (IJAIT), World
[UAI] CFP: Deadline extension - 6th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2010)
(Apologies if you have received multiple CFPs) 6th IFIP INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS INNOVATIONS (AIAI 2010) 5 - 7 October 2010, Ayia Napa, Cyprus http://www.cs.ucy.ac.cy/aiai2010 Due to numerous requests, we have extended the submission deadlines to 3rd May 2010 for abstracts and 10th May 2010 for full paper, workshop proposals and tutorial propasals. Those authors who have already submitted their papers (in response to the first CFP), will receive the notification of acceptance or rejection by the dates announced in the first CFP. Those authors who submit their papers in response to this announcement, will receive the notification around 10th June 2010. IMPORTANT DATES: Abstract Submission: 3rd May 2010 (new deadline extension) Full Paper Submission: 10th May 2010 (new deadline extension) Workshop Proposal Submission: 10th May 2010 (new deadline extension) Tutorial Proposal Submission: 10th May 2010 (new deadline extension) Notification of Acceptance: 10th June 2010 (new deadline extension) Camera-ready Copy Due: 25th June 2010 (new deadline extension) Conference dates: 5 - 7 October 2010 KEYNOTE SPEAKERS: Zbigniew Michalewicz, School of Computer Science and Engineering, University of Adelaide, Australia Alex Gammerman, Department of Computer Science, Royal Holloway, University of London, UK Masoud Mohammadian, Faculty of Information Science and Engineering, University of Canberra: ACT, Australia CALL FOR PAPERS: The abundance of information and increase in computing power currently enables researchers to tackle highly complicated and challenging computational problems. Solutions to such problems are now feasible using advances and innovations from the area of Artificial Intelligence. The general focus of the AIAI 2010 conference is to provide insights on how Artificial Intelligence may be applied in real world situations and serve the study, analysis and modelling of theoretical and practical issues. Also, research papers describing advanced prototypes, innovative systems, tools and techniques are encouraged. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. Authors are invited to electronically submit original, English-language research contributions or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. SUBMISSIONS: Regular Papers and Workshop Papers: The maximum length permitted is eight (8) pages, formatted according to Springer IFIP series instructions. The Programme Committee may reject papers exceeding this length. Authors are strongly encouraged to use the correct document style from the Springer IFIP website (http://www.springer.com/series/6102). This should be done for their initial submission, so that preparation of the final papers will be simplified. A fully electronic review process by three academic reviewers is planned for all submitted papers. Full papers and workshop or tutorial proposals should be submitted electronically in postscript, pdf or word format. At least one author of each accepted paper is required to register and present the paper. Papers shall not be included in the proceedings if these requirements are not met, nor if the registration fee is not received until the camera-ready deadline. For further information related to the technical programme or other details on the conference, please contact the Organising Chair, Harris Papadopoulos, at h.papadopou...@frederick.ac.cy mailto:h.papadopou...@frederick.ac.cy. WORKSHOPS TUTORIAL PROPOSALS: Workshop proposals comprising original research papers on innovative or otherwise provocative issues within the conference topic areas are also encouraged. Workshops should be held simultaneously with the 6th IFIP AIAI conference. Submitted proposals should include a 2-3 page summary of the topic, including the names and affiliations of Programme Committee members and chairs. Also, the chairs of the workshops should arrange the publication of accepted papers. For questions regarding workshop proposals, please contact the Workshop Chair, Nicos Mateou, at nmat...@mod.gov.cy mailto:nmat...@mod.gov.cy. Proposals for 90-minute tutorials are also invited in areas within the conference’s topics. Tutorial proposals must be 5 pages at most, identifying the intended audience and presenting enough material to provide a sense of what will be covered. For questions related to the tutorials please e-mail the Tutorials Chair, Tasos Sofokleous, at aso...@cs.ucy.ac.cy mailto:aso...@cs.ucy.ac.cy. SPECIAL ISSUES
[UAI] 6th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2010) - Call for Participation
(Apologies if you have received multiple Calls for Participation) CALL FOR PARTICIPATION: 6th IFIP INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE APPLICATIONS INNOVATIONS (AIAI 2010) 6 - 7 October 2010, Larnaca, Cyprus http://www.cs.ucy.ac.cy/aiai2010 REGISTRATION ANNOUNCEMENT: We have extended the registration deadlines for non-authors wishing to participate in AIAI 2010. Early registrations can now be made until 15th September 2010 while late registrations after 15th September 2010. The pre-registration deadline is 26th September 2010. Please note that registrations after 26th September 2010 will only be possible at the venue on the day of the conference Registration Fee Includes: - Admission to conference, workshop and tutorial sessions - Booklet of Final Programme, Volume of IFIP-Springer Conference Proceedings and Workshop Proceedings (CD) - Additional copies are charged at EUR 50.00 per copy - Coffee breaks during conference - 2 Lunches (including local drinks) IMPORTANT DATES: Early Registration: Until 15th September 2010 Late Registration: 15th September 2010 - 26th September 2010 Conference dates: 6 - 7 October 2010 KEYNOTE SPEAKERS: Zbigniew Michalewicz, School of Computer Science and Engineering, University of Adelaide, Australia Alex Gammerman, Department of Computer Science, Royal Holloway, University of London, UK Masoud Mohammadian, Faculty of Information Science and Engineering, University of Canberra: ACT, Australia TOPICS: Suggested topics include, but are not limited to, the following: Theoretical Advances Machine Learning Adaptive Control Data Fusion Reasoning Methods Knowledge Acquisition and Representation Planning and Scheduling Artificial Neural Networks Expert Systems Fuzzy Logic and Systems Genetic Algorithms and Programming Particle Swarm Optimisation Bayesian Models Knowledge Engineering Data Mining and Information Retrieval Decision Support Systems Knowledge Management for e-Learning and Enterprise Portals Intelligent Information Systems Web- and Knowledge-Based Information Systems Ontologies Signal Processing Techniques and Knowledge Extraction Computer Vision Human-Machine Interaction / Presence Learning and Adaptive Systems Pattern Recognition Signal and Image Processing Speech and Natural Language Processing Multimedia, Graphics and Artificial Intelligence Multimedia Computing Multimedia Ontologies Smart Graphics Colour/Image Analysis Speech Synthesis Trends in Computing Accessibility and Computers Affective Computing Agent and Multi-Agent Systems Autonomous and Ubiquitous Computing Distributed AI Systems and Architectures Grid-Based Computing Intelligent Profiling and Personalisation Robotics and Virtual Reality Artificial Intelligence Applications eBusiness, eCommerce, eHealth, eLearning Engineering and Industry Environmental Modelling Finance Telecommunications - Transportation Crisis and Risk Management Medical Informatics and Biomedical Engineering Political Decision Making Natural Language Processing Planning and Resource Management Project Management Emerging Applications Forensic Science Other AI and Ethical Issues Evaluation of AI Systems Social Impact of AI ORGANISATION: General Co-Chairs: Andreas S. Andreou, University of Cyprus and Cyprus University of Technology Max Bramer, University of Portsmouth Program Committee Chair: Lazaros Iliadis, Democritus University of Thrace Organising Chair: Harris Papadopoulos, Frederick University More information can be found at http://www.cs.ucy.ac.cy/aiai2010 We look forward to seeing you in Larnaca, Cyprus! Andreas S. Andreou Conference General Co-Chair ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] EANN / AIAI 2011: Call for Papers
FIRST CALL FOR PAPERS: 12th EANN /7th AIAI Joint conference 2011 http://delab.csd.auth.gr/eann2011/index.html The 12th Engineering Applications of Neural Networks conference is Supported by IEEE (Greece) and by INNS International Neural Network Society (EANN Special Interest Group) The 7th Artificial Applications of Neural Networks conference is Supported by the IFIP International Federation for Information Processing (UNESCO) International Joint Conference 12th EANN /7th AIAI 15 - 18 September 2011, Corfu island (Kerkyra) Greece Department of Informatics Ionian University http://delab.csd.auth.gr/eann2011/index.html IMPORTANT DATES: Tutorial and workshops proposals: February 15, 2011 Notification of tutorial and workshops proposals: February 22, 2011 Paper Submission: March 27, 2011 Notification of paper acceptance: April 30, 2011 Final paper Submission: May 15, 2011 Early registration: May 15, 2011 Conference Dates: September 15-18, 2011 == ORGANIZATION: General chair Dominic Palmer Brown, London Metropolitan University Organizing chairs Vassilis Chrissikopoulos, Ionian University Yannis Manolopoulos, Aristotle University of Thessaloniki EANN PC co-chairs Lazaros Iliadis, Democritus University of Thrace Christina Jayne, London Metropolitan University AIAI Honorary chair Tharam Dillon, Curtin University, Australia AIAI PC co-chairs Lazaros Iliadis, Democritus University of Thrace Elias Maglogiannis, University of Central Greece Harris Papadopoulos, Frederick University, Cyprus VENUE: Corfu island in the Ionian sea, (Kerkyra) Greece. Department of Informatics of the Ionian University PROCEEDINGS/SPECIAL ISSUES Proceedings for both events will be published by Springer. Special Issues of at least two high level scientific Journals will be published KEYNOTE SPEAKERS: At least three distinguished Keynote speakers will be invited CONFERENCE TOPICS: EANN Topics Neural networks techniques: - Learning theory - Evolutionary architectures - Support vectors machines - Unsupervised Learning - Reinforcement Learning - Adaptive architecture - Fuzzy logic and systems - Hybrid system - Hardware development - Low cost architectures Research areas: - Computer vision - Pattern Recognition - Colour, Motion analysis - Signal Processing - Fusion - Telecommunications - Robotics - Data mining - Time Series Analysis - Financial Forecasting - Adaptive Control - Modelling and identification - Prediction - Process Monitoring and Diagnosis - Intelligent Transportation Systems Engineering Applications: - Civil Engineering Applications - Fuzzy Systems - Biomedical Engineering Applications - Decision Making Applications - Manufacturing Engineering Applications - Computer science - Thermal Engineering - Financial Engineering - General Engineering Applications - Environmental Engineering - Risk Modeling AIAI Topics Theoretical Advances: - Machine Learning - Adaptive Control - Data Fusion - Reasoning Methods - Knowledge Acquisition and Representation - Planning and Scheduling - Artificial Neural Networks - Expert Systems - Fuzzy Logic and Systems - Genetic Algorithms and Programming - Particle Swarm Optimisation - Bayesian Models Knowledge Engineering: - Data Mining and Information Retrieval - Decision Support Systems - Knowledge Management for e-Learning and Enterprise Portals - Intelligent Information Systems - Web- and Knowledge-Based Information Systems - Ontologies Artificial Intelligence Applications: - eBusiness, eCommerce, eHealth, eLearning - Engineering and Industry - Environmental Modelling - Finance - Telecommunications / Transportation - Crisis and Risk Management - Medical Informatics and Biomedical Engineering - Political Decision Making - Natural Language Processing - Planning and Resource Management - Project Management - Emerging Applications - Forensic Science Trends in Computing: - Accessibility and Computers - Affective Computing - Agent and Multi-Agent Systems - Autonomous and Ubiquitous Computing - Distributed AI Systems and Architectures - Grid-Based Computing - Intelligent Profiling and Personalisation - Robotics and Virtual Reality Multimedia, Graphics and Artificial Intelligence: - Multimedia Computing - Multimedia Ontologies - Smart Graphics - Colour/Image Analysis - Speech synthesis Signal Processing Techniques and Knowledge Extraction: - Computer Vision - Human-Machine Interaction / Presence - Learning and Adaptive Systems - Pattern Recognition - Signal and Image Processing - Speech and Natural Language Processing Other: - AI and Ethical Issues - Evaluation of AI Systems - Social Impact of AI ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011)
Apologies if you receive this CFP more than once. === Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011) to be held in conjunction with the 12th EANN 7th AIAI Joint Conference 2011 15-18 September 2011, Corfu, Greece http://delab.csd.auth.gr/eann2011/aiab.html === Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. Papers should be submitted either in a doc or in a pdf form to h.papadopou...@frederick.ac.cy Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event. They will be also considered for potential selection for publication in the Special Issues. Important Dates: Full paper submission due: April 30, 2011 Notification of acceptance: June 2, 2011 Camera-ready paper submission: Jun 16, 2011 Workshop co-chairs: === Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee = Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Stathes Hadjiefthymiades, University of Athens, Greece Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Zhiyuan Luo, Royal Holloway University of London, UK Dimitris Lymberopoulos, University of Patras, Greece Fillia Makedon, University of Texas at Arlington, USA Konstantina Nikita, National Technical University of Athens, Greece Costas Pappas, Aristotle University of Thessaloniki, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011)
Apologies if you receive this CFP more than once. === Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2011) to be held in conjunction with the 12th EANN 7th AIAI Joint Conference 2011 15-18 September 2011, Corfu, Greece http://delab.csd.auth.gr/eann2011/aiab.html === Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. The program committee may reject papers that exceed this length on the grounds of length alone. Papers should be submitted either in a doc or in a pdf form to h.papadopou...@frederick.ac.cy Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event. They will be also considered for potential selection for publication in the Special Issues. Important Dates: Full paper submission due: April 30, 2011 Notification of acceptance: June 2, 2011 Camera-ready paper submission: Jun 16, 2011 Workshop co-chairs: === Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee = Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Stathes Hadjiefthymiades, University of Athens, Greece Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Zhiyuan Luo, Royal Holloway University of London, UK Dimitris Lymberopoulos, University of Patras, Greece Fillia Makedon, University of Texas at Arlington, USA Konstantina Nikita, National Technical University of Athens, Greece Costas Pappas, Aristotle University of Thessaloniki, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 8th AIAI 2012 :. 1st Call for papers
1st Call for Papers (Apologies for cross-posting) 8th AIAI 2012 (Artificial Intelligence Applications and Innovations) conference supported by the IFIP (International Federation for Information Processing) Technical Committee 12 Date: 27-30 of September 2012 VENUE: Athina Pallas Village 5 star (4 seasons) Hotel and Conference Center, Neos Marmaras, Chalkidiki, GREECE http://www.athena-pallas.gr/ Special Hotel prices for the AIAI 2012: * Price per person in double room with Full board: € 49.00 * Price per double room for one person with Full board € 73.00 * Price per person in superior room with Full board: € 52.00 * Price per superior room for one person with Full board € 81.00 Conference web site: http://delab.csd.auth.gr/aiai2012/ Special Issues Special Issue with selected papers from the 8th AIAI will be published in high quality scientific Journals. 1. Selected papers from the conference will pass through a peer review process for potential publication in the Artificial Intelligence Review Journal. http://www.springer.com/computer/ai/journal/10462 SPRINGER 2010 Impact Factor 0.429 2. Selected papers from the conference will pass through a peer review process for potential publication in the Engineering Intelligent Systems Journal CRL UK Proceedings Proceedings will be published by Springer in the Lecture Notes in Computer Science Series Keynote Speakers: 1. Dr Danil Prokhorov, Toyota Research Institute NA, Ann Arbor, Michigan, USA Vice President for Conferences of the INNS (International Neural Network Society) Associate Editor of Neural Networks, IEEE Trans. on Neural Networks and IEEE Trans. on Autonomous Mental Development Senior Member of both IEEE and INNS Reviewer of grants proposals for the U.S. National Science Foundation (NSF) Extended Experience in the Scientific Research Laboratory of Ford Motor Co. (Metropolitan Detroit area) 2. Professor David Robertson, University of Edinburgh, UK Head of School of Informatics Leader, Software Systems and Processes research group Important Dates * Tutorial and workshops proposals: February 15, 2012 * Notification of tutorial and workshops proposals: February 22, 2012 * Paper Submission: April 22, 2012 * Notification of paper acceptance: May 26, 2012 * Final paper Submission: June 4, 2012 * Early registration: June 04, 2012 * Conference Dates: September 27-30, 2012 Tutorials: 1. Dr Tatiana Tambouratzis, Associate Professor, Dept. of Industrial Management Technology University of Piraeus, Greece Subject: Identification of Key Music Symbols for Optical Music Recognition and On-Screen Presentation 2. Dr Costin Badica, Senior Lecturer, Dept. of Software Engineering, University of Craiova, Romania Organization General chair Professor Tharam Dillon, Curtin University Australia Organizing chairs Professor Yannis Manolopoulos, Head of Computer Science Department, Aristotle University of Thessaloniki Dr Elias Pimenidis, Senior Lecturer, University of East London Program chairs Associate Professor Lazaros Iliadis Democritus University of Thrace Assistant Professor Ilias Magklogiannis, University of Central Greece Assistant Professor Harris Papadopoulos, Frederick University of Cyprus Topics: See in the web site: http://delab.csd.auth.gr/aiai2012/ Workshops: Several workshops will be organized during the event. All workshop papers will be published in the Springer Proceedings ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 1st Workshop on Conformal Prediction and its Applications (CΟPA 2012)
Apologies if you receive this CFP more than once. 1st Workshop on Conformal Prediction and its Applications (CΟPA 2012) to be held in conjunction with the 8th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2012) Halkidiki, Greece, September 27-30, 2012 http://delab.csd.auth.gr/aiai2012/ Workshop Theme: === Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. Papers should be submitted either in a doc or in a pdf form to: h.papadopou...@frederick.ac.cy Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Important Dates === Full paper submission due: April 29, 2012 Notification of acceptance: May 26, 2012 Camera-ready paper submission: June 4, 2012 Honorary Chairs === Vladimir Vapnik NEC, USA Royal Holloway, University of London, UK Alexei Chervonenkis Russian Academy of Sciences, Russia Royal Holloway, University of London, UK Program Chairs == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Alex Gammerman Royal Holloway, University of London, UK Email: a...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London, UK Email: v...@cs.rhul.ac.uk Program Committee = Vineeth Balasubramanian, Arizona State University, USA Anthony Bellotti, Imperial College London, UK David R. Hardoon, SAS Singapore Mohamed Hebiri, Universite de Marne-la-Vallee, France Shen-Shyang Ho, Nanyang Technological University, Singapore Zakria Hussain, University College London, UK Yuri Kalnishkan, Royal Holloway, University of London, UK Matjaz Kukar, University of Ljubljana, Slovenia Antonis Lambrou, Royal Holloway, University of London, UK Rikard Laxhammar, University of Skovde, Sweden Yang Li, Chinese Academy of Sciences, China Zhiyuan Luo, Royal Holloway, University of London, UK Andrea Murari, Consorzio RFX, Italy Ilia Nouretdinov, Royal Holloway, University of London, UK Savvas Pericleous, Frederick University, Cyprus David Surkov, Egham Capital, UK Jesus Vega, Asociacion EURATOM/CIEMAT para Fusion, Spain Fan Yang, Xiamen University, China ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 2nd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2012)
Apologies if you receive this CFP more than once. === 2nd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2012) to be held in conjunction with the 8th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2012) Halkidiki, Greece, September 27-30, 2012 http://delab.csd.auth.gr/aiai2012/ === Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. Papers should be submitted either in a doc or in a pdf form to: h.papadopou...@frederick.ac.cy Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Important Dates: === Full paper submission due: April 29, 2012 Notification of acceptance: May 26, 2012 Camera-ready paper submission: June 4, 2012 Workshop co-chairs: == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee == Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway, University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway, University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Fillia Makedon, University of Texas at Arlington, USA Konstantina Nikita, National Technical University of Athens, Greece Costas Pappas, Aristotle University of Thessaloniki, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway, University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: 2nd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2012)
(Apologies if you receive this CFP more than once.) News: Extended versions of selected papers from the workshop will be invited for potential publication in a special issue of Artificial Intelligence in Medicine (Elsevier). === 2nd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2012) to be held in conjunction with the 8th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2012) Halkidiki, Greece, September 27-30, 2012 http://delab.csd.auth.gr/aiai2012/ === Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. Papers should be submitted either in a doc or in a pdf form to: h.papadopou...@frederick.ac.cy Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). Special Issue = Extended versions of selected papers from the workshop will be invited for potential publication in a special issue of Artificial Intelligence in Medicine (Elsevier). Important Dates: === Full paper submission due: April 29, 2012 Notification of acceptance: May 26, 2012 Camera-ready paper submission: June 4, 2012 Workshop co-chairs: == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee == Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway, University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway, University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Fillia Makedon, University of Texas at Arlington, USA Konstantina Nikita, National Technical University of Athens, Greece Costas Pappas, Aristotle University of Thessaloniki, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway, University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Call for papers: AMAI Special Issue on Conformal Prediction and its Applications
CALL FOR PAPERS Annals of Mathematics and Artificial Intelligence Special Issue on Conformal Prediction and its Applications Topic description: Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The main focus of this special issue is on recent developments and extensions of the Conformal Prediction framework and on its application to interesting problems where the provision of confidence information is valuable. We welcome authors to submit their original research articles, as well as comprehensive reviews on this new topic. Besides the dissemination of the latest results and findings on new theoretical advances and applications of the Conformal Prediction framework it is expected that this special issue will deliver new ideas and identify directions for future research. Paper submission and review: Manuscripts must follow the AMAI guidelines for submission and have to be accompanied by abstracts. Details regarding the submission format and the on-line submission site can be found at http://www.editorialmanager.com/amai/. All manuscripts for this Special Issue should be submitted through this online system by selecting the Submission Type S70: Conformal Prediction and its Applications. All submitted manuscripts must be of high quality and will be evaluated based on their originality, presentation, relevance and contribution to the field, as well as their suitability to the special issue and their overall quality. The refereeing will be at the same level as in any of the major journal publications in the area. Manuscripts must be written in excellent English and describe original research which has not been published nor is currently under review by other journals or conferences. Previously published conference/workshop papers should be clearly identified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Guest editors will make an initial determination of the suitability and scope of all submissions. Manuscripts that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Important dates: Paper submission deadline: December 15, 2012 Notification of initial decisions: March 15, 2013 Revised submission deadline: May 31, 2013 Notification of final decisions: July 31, 2013 Final papers: August 31, 2013 About Annals of Mathematics and Artificial Intelligence: Annals of Mathematics and Artificial Intelligence (AMAI) is devoted to reporting significant contributions on the interaction of mathematical and computational techniques reflecting the evolving discipline of artificial intelligence. Annals of Mathematics and Artificial Intelligence publishes edited volumes of original manuscripts, survey articles, monographs and well refereed conference proceedings of the highest caliber within this increasingly important field. All papers will be subject to the peer reviewing process with at least two referees per paper. Guest editors: Harris Papadopoulos, Frederick University, Cyprus (harris.papadopou...@gmail.com) Alex Gammerman, Royal Holloway, University of London (a.gammer...@cs.rhul.ac.uk) Vladimir Vovk, Royal Holloway, University of London (v.v...@rhul.ac.uk) ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: AMAI Special Issue on Conformal Prediction and its Applications
SECOND CALL FOR PAPERS * Paper Submission Deadline: December 15 * Special Issue on Conformal Prediction and its Applications Annals of Mathematics and Artificial Intelligence (http://www.springer.com/computer/ai/journal/10472) Topic description: Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The main focus of this special issue is on recent developments and extensions of the Conformal Prediction framework and on its application to interesting problems where the provision of confidence information is valuable. We welcome authors to submit their original research articles, as well as comprehensive reviews on this new topic. Besides the dissemination of the latest results and findings on new theoretical advances and applications of the Conformal Prediction framework it is expected that this special issue will deliver new ideas and identify directions for future research. Paper submission and review: Manuscripts must follow the AMAI guidelines for submission and have to be accompanied by abstracts. Details regarding the submission format and the on-line submission site can be found at http://www.editorialmanager.com/amai/. All manuscripts for this Special Issue should be submitted through this online system by selecting the Submission Type S70: Conformal Prediction and its Applications. All submitted manuscripts must be of high quality and will be evaluated based on their originality, presentation, relevance and contribution to the field, as well as their suitability to the special issue and their overall quality. The refereeing will be at the same level as in any of the major journal publications in the area. Manuscripts must be written in excellent English and describe original research which has not been published nor is currently under review by other journals or conferences. Previously published conference/workshop papers should be clearly identified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Guest editors will make an initial determination of the suitability and scope of all submissions. Manuscripts that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Important dates: Paper submission deadline: December 15, 2012 Notification of initial decisions: March 15, 2013 Revised submission deadline: May 31, 2013 Notification of final decisions: July 31, 2013 Final papers: August 31, 2013 About Annals of Mathematics and Artificial Intelligence: Annals of Mathematics and Artificial Intelligence (AMAI) is devoted to reporting significant contributions on the interaction of mathematical and computational techniques reflecting the evolving discipline of artificial intelligence. Annals of Mathematics and Artificial Intelligence publishes edited volumes of original manuscripts, survey articles, monographs and well refereed conference proceedings of the highest caliber within this increasingly important field. All papers will be subject to the peer reviewing process with at least two referees per paper. Guest editors: Harris Papadopoulos Frederick University, Cyprus harris.papadopou...@gmail.com Alex Gammerman Royal Holloway, University of London a.gammer...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London v.v...@rhul.ac.uk ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: AIIM Special Issue on Intelligent Biomedical Data, Signal and Image Analysis
CALL FOR PAPERS Special Issue on Intelligent Biomedical Data, Signal and Image Analysis Artificial Intelligence in Medicine (http://www.aiimjournal.com/) About the Special Issue: The continually expanding volume of electronically-stored biomedical data in conjunction with the recent advances in data mining and machine learning techniques and the high processing power available today resulted in intelligent data analysis becoming increasingly important in healthcare. Data mining and machine learning techniques have been used for identifying meaningful patterns in large repositories of high-dimensional data and deriving important medical knowledge from them. Some examples are the intelligent analysis of high-dimensional proteomic data for the early detection of cancer, the analysis of gene expression data for discovering subtypes of tumors and the analysis of carotid plaque images for assessing the risk of stroke. The list of applications is large and continually growing and so does the impact of mining biomedical data in the delivery of health care services. Despite this encouraging progress in the development and application of data mining and machine learning techniques to biomedical tasks there are still many challenging issues of this field that have not yet been adequately addressed and many important biomedical problems that have not yet been studied and would greatly benefit from the exploitation of such techniques. The main focus of this special issue is on recent advances of biomedical data mining techniques and on novel applications of such techniques to biomedical data, signals and images. We welcome authors to submit their original research articles, as well as comprehensive reviews. This special issue is expected to be useful and informative to data mining and medical researchers as well as medical practitioners. Besides the dissemination of the latest results and findings on the intelligent analysis of biomedical data it is expected that this special issue will deliver new ideas and identify directions for future studies. The topics of this special issue include, but are not limited to: * Biomedical data mining * Clinical decision support systems * Mining large unstructured data sources * Combination of structured and unstructured data * Intelligent data analysis in bio- and clinical medicine * Intelligent analysis of genomic and proteomic data * Intelligent medical image analysis * Intelligent medical signal processing * Differential diagnosis * Disease detection * Disease progression / management * Medical text analysis * Drug discovery * Data and knowledge representation / aquisition * Patient care * Personalised medicine Paper submission and review: Manuscripts must follow the AIIM guidelines. Details regarding the submission format and the on-line submission site can be found at: http://ees.elsevier.com/aiim/. *All manuscripts should indicate in the comments page of the submission process that they are being submitted for the Special Issue on Intelligent Biomedical Data, Signal and Image Analysis.* All submitted manuscripts must be of high quality and will be evaluated based on their originality, presentation, relevance and contribution to the field, as well as their suitability to the special issue, and their overall quality. The refereeing will be at the same level as in any of the major journal publications in the area. The submitted manuscripts must be written in excellent English and describe original research which has not been published nor currently under review by other journals or conferences. Previously published conference/workshop papers should be clearly identified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Guest editors will make an initial determination of the suitability and scope of all submissions. Manuscripts that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. The final decisions for all manuscripts will be taken by the Editor-in-Chief of the journal at the end of the review process. Important dates: Manuscript submission deadline: February 15, 2013 Notification of initial decisions: May 15, 2013 Revised submission deadline: July 31, 2013 Notification of final decisions: September 30, 2013 Final manuscripts: October 31, 2013 Guest editors: Harris Papadopoulos Frederick University, Cyprus harris.papadopoulos[at]gmail.com Efthyvoulos Kyriacou Frederick University, Cyprus e.kyriacou[at]frederick.ac.cy Ilias Maglogiannis University of Central Greece, Greece imaglo[at]ucg.gr George Anastassopoulos Democritus University of Thrase, Greece anasta[at]med.duth.gr ___ uai mailing list uai@ENGR.ORST.EDU https
[UAI] Deadline Extension: AMAI Special Issue on Conformal Prediction and its Applications
Deadline Extension Special Issue on Conformal Prediction and its Applications Annals of Mathematics and Artificial Intelligence (http://www.springer.com/computer/ai/journal/10472) * Due to a number of requests, the paper submission deadline is extended to January 31, 2013. * Topic description: Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The main focus of this special issue is on recent developments and extensions of the Conformal Prediction framework and on its application to interesting problems where the provision of confidence information is valuable. We welcome authors to submit their original research articles, as well as comprehensive reviews on this new topic. Besides the dissemination of the latest results and findings on new theoretical advances and applications of the Conformal Prediction framework it is expected that this special issue will deliver new ideas and identify directions for future research. Paper submission and review: Manuscripts must follow the AMAI guidelines for submission and have to be accompanied by abstracts. Details regarding the submission format and the on-line submission site can be found at http://www.editorialmanager.com/amai/. All manuscripts for this Special Issue should be submitted through this online system by selecting the Submission Type S70: Conformal Prediction and its Applications. All submitted manuscripts must be of high quality and will be evaluated based on their originality, presentation, relevance and contribution to the field, as well as their suitability to the special issue and their overall quality. The refereeing will be at the same level as in any of the major journal publications in the area. Manuscripts must be written in excellent English and describe original research which has not been published nor is currently under review by other journals or conferences. Previously published conference/workshop papers should be clearly identified by the authors (at the submission stage) and an explanation should be provided how such papers have been extended to be considered for this special issue. Guest editors will make an initial determination of the suitability and scope of all submissions. Manuscripts that either lack originality, clarity in presentation or fall outside the scope of the special issue will not be sent for review and the authors will be promptly informed in such cases. Important dates (extended): Paper submission deadline: January 31, 2013 Notification of initial decisions: April 30, 2013 Revised submission deadline: July 15, 2013 Notification of final decisions: September 15, 2013 Final papers: October 15, 2013 About Annals of Mathematics and Artificial Intelligence: Annals of Mathematics and Artificial Intelligence (AMAI) is devoted to reporting significant contributions on the interaction of mathematical and computational techniques reflecting the evolving discipline of artificial intelligence. Annals of Mathematics and Artificial Intelligence publishes edited volumes of original manuscripts, survey articles, monographs and well refereed conference proceedings of the highest caliber within this increasingly important field. All papers will be subject to the peer reviewing process with at least two referees per paper. Guest editors: Harris Papadopoulos Frederick University, Cyprus harris.papadopou...@gmail.com Alex Gammerman Royal Holloway, University of London a.gammer...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London v.v...@rhul.ac.uk
[UAI] CFP: 9th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2013)
[ please distribute - apologies for multiple postings ] - Call for Papers 9th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2013) September 26-28, 2013 - Paphos, Cyprus http://aiai2013.cut.ac.cy/ - The importance of Artificial Intelligence is underlined by the fact that it is nowadays being embraced by a vast majority of research fields across different disciplines, from Engineering Sciences to Economics and Medicine, as a means to tackle highly complicated and challenging computational as well as cognitive problems. Being one of the main streams of information processing, Artificial Intelligence may now offer solutions to such problems using advances and innovations from a wide range of sub-areas that induce thinking and reasoning in models and systems. The general focus of the conference is to present different perspectives on how Artificial Intelligence may be applied and offer solutions to real world problems, serving the study, analysis and modelling of theoretical and practical issues. The primary target of AIAI 2013 is to present highly novel research papers describing innovative algorithms, systems, tools and techniques, as well as proposing advanced prototypes in the area of Artificial Intelligence. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. Authors are invited to submit original, English-language research contributions or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. Proceedings The conference proceedings will be published by Springer in the IFIP Advances in Information and Communication Technology (AICT) series. - Paper Submission - Submissions should contain original, high quality, not submitted or published elsewhere work. Papers should be submitted electronically (through AIAI 2013 web site) in pdf format and should conform to the Springer Lecture Notes in Computer Science style. Authors instructions and style files can be downloaded from the conference website or from: http://www.springer.de/comp/lncs/authors.html The maximum length of papers is 10 pages in this format. A fully electronic review process by at least two academic reviewers is planned for all submissions. --- Workshop Proposals --- Proposals for Workshops that examine emerging, innovative, or otherwise provocative issues within the conference area are encouraged as well. Workshop proposals should include a 1-2 page summary of the topic and the names and affiliations of chairs and program committee members. Workshop papers will be included in the conference proceedings (published by Springer). --- Tutorial Proposals --- Proposals for 90-minute tutorials are also invited on topics within the conference area. Tutorial proposals must be at most 5 pages, they must identify the intended audience, and they must give enough material to provide a sense of what will be covered. Important Dates - Tutorial and Workshop proposals deadline: February 15, 2013 - Tutorial and Workshop notifications: February 22, 2013 - Abstract submission deadline: March 5, 2013 - Paper submission deadline: March 10, 2013 - Author notifications: April 30, 2013 - Camera-ready submission: May 17, 2013 - Early registration deadline: May 17, 2013 Contact You can contact the conference organizing committee at: aiai2...@aca.cut.ac.cy ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP (New Deadline): AIIM Special Issue on Intelligent Biomedical Data, Signal and Image Analysis
CALL FOR PAPERS * Manuscript submission deadline: May 10 * Special Issue on Intelligent Biomedical Data, Signal and Image Analysis Artificial Intelligence in Medicine (http://www.aiimjournal.com/) Aim: A substantial body of work from researchers around the globe has been devoted to the development of intelligent techniques that can analyze biomedical data and extract useful medical knowledge. Applications stemming from such research have had a considerable impact in healthcare. However, still several open problems remain in analyzing biomedical data which existing approaches cannot yet sufficiently tackle. The aim of this special issue is to present novel techniques and introduce new research directions in biomedical data analysis that can help address the key open issues in the field. Important dates: Manuscript submission deadline: May 10, 2013 Notification of initial decisions: August 10, 2013 Revised submission deadline: October 20, 2013 Notification of final decisions: December 20, 2013 Final manuscripts: January 31, 2014 Rationale Recently, a sharp increase in capacity for collecting medical data has become possible with the availability of modern biomedical instrumentation. However, these data should undergo appropriate analysis in order to extract meaningful information that could be of use to medical practitioners. Unfortunately, in most cases traditional data analysis techniques are unable to handle the high dimensionality and sheer volume of such data. This has led to the development of novel data mining techniques that can identify patterns and generate useful medical knowledge. Such techniques, originating from diverse fields such as machine learning, statistics, and signal processing, have received considerable attention during the last decade and are increasingly being adopted in healthcare. Prominent examples include the application of data mining techniques for analyzing data generated by high-throughput 'omic' technologies with the purpose of identifying candidate biomarkers, and the extraction of meaningful features form analyzing data obtained by medical imaging technologies (e.g. MRI, CT). Despite this encouraging progress there are still many challenging issues that have not yet been adequately addressed. Examples include the high-dimensionality of data with an inordinate number of features compared to the limited number of cases, datasets suffering from strong class imbalance, violation of the i.i.d. assumption (which is adopted by most techniques), limited availability of labeled data, and several more. Topics The topics of this special issue include, but are not limited to: * Biomedical data mining * Combination of structured and unstructured data * Intelligent data analysis in bio- and clinical medicine * Intelligent analysis and fusion of genomic and proteomic data * Intelligent medical image analysis * Intelligent medical signal processing * Disease progression prediction * Data and knowledge representation / aquisition * Intelligent Mining of Biomedical Streaming Data Paper submission and review: We invite authors to submit original research articles, as well as comprehensive reviews, which contribute towards the aim of the special issue. Submitted articles should report on significant previously unpublished work. Revised and substantially extended workshop and conference papers in the field will also be considered. In these cases the journal paper submission should contain at least 30% of new, previously unpublished material. Authors should indicate in the cover letter whether the submission is based on, or extends substantially, a previously published conference or workshop paper, in which case a description of what is new must also be included. Manuscripts must follow the AIIM guidelines. The submission format and other relevant details can be found at the journal submission site http://ees.elsevier.com/aiim/. *All manuscripts should indicate in the comments page of the submission process that they are being submitted for the Special Issue on Intelligent Biomedical Data, Signal and Image Analysis.* Each submission will be peer-reviewed by at least three reviewers. Guest editors will screen the submissions for eligibility and quality. All papers accepted to the special issue are subject to final approval by the Editor-in-Chief of the AIIM journal. It is planned that the articles will appear in one of the issues of the Artificial Intelligence in Medicine Journal, edited and published by Elsevier, in 2014. AIIM typically has 9 issues per year. Guest editors: Harris Papadopoulos Frederick University, Cyprus harris.papadopoulos[at]gmail.com Efthyvoulos Kyriacou Frederick University, Cyprus e.kyriacou[at]frederick.ac.cy Ilias Maglogiannis University of Central Greece, Greece imaglo[at]ucg.gr George Anastassopoulos Democritus University of Thrase, Greece anasta[at]med.duth.gr
[UAI] 2nd CFP (Change of Dates): 9th IFIP International Conference on Artificial Intelligence Applications Innovations (AIAI 2013)
[ please distribute - apologies for multiple postings ] Call for Papers 9th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2013) 30th September - 2nd October, 2013 - Paphos, Cyprus http://aiai2013.cut.ac.cy/ *Announcement:* A symposium on 'Measures of Complexity' will be organized in conjunction with the conference to celebrate the 75th birthday of Professor Alexey Chervonenkis! Because of this addition, the conference dates have been moved forward by 4 days and the deadlines have been extended. --- Aims and Scope --- The importance of Artificial Intelligence is underlined by the fact that it is nowadays being embraced by a vast majority of research fields across different disciplines, from Engineering Sciences to Economics and Medicine, as a means to tackle highly complicated and challenging computational as well as cognitive problems. Being one of the main streams of information processing, Artificial Intelligence may now offer solutions to such problems using advances and innovations from a wide range of sub-areas that induce thinking and reasoning in models and systems. The general focus of the conference is to present different perspectives on how Artificial Intelligence may be applied and offer solutions to real world problems, serving the study, analysis and modelling of theoretical and practical issues. The primary target of AIAI 2013 is to present highly novel research papers describing innovative algorithms, systems, tools and techniques, as well as proposing advanced prototypes in the area of Artificial Intelligence. General survey papers indicating future directions and professional work-in-progress reports are of equal interest. Acceptance will be based on quality, originality and practical merit of the work. Authors are invited to submit original, English-language research contributions or experience reports. Submitted papers must present unpublished work, not being considered for publication in other journals or conferences. -- Proceedings -- The conference proceedings will be published by Springer in the IFIP Advances in Information and Communication Technology (AICT) series. - Paper Submission - Submissions should contain original, high quality, not submitted or published elsewhere work. Papers should be submitted electronically (through AIAI 2013 web site) in pdf format and should conform to the Springer Lecture Notes in Computer Science style. Authors instructions and style files can be downloaded from the conference website or from: http://www.springer.de/comp/lncs/authors.html The maximum length of papers is 10 pages in this format. A fully electronic review process by at least two academic reviewers is planned for all submissions. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiai2013 - Keynote Speakers - - Prof. Alexey Chervonenkis, Russian Academy of Sciences and Royal Holloway, University of London, UK - Prof. Tharam Dillon, Curtin University of Technology, Australia /Plus a number of invited Symposium speakers (to be announced shortly)/ Workshops - 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013) - 3rd Workshop on Computational Intelligence in Software Engineering (CISE 2013) - 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013) - 2nd Workshop on Intelligent Video-to-video Communications in Modern Smart Cities (IVC 2013) - 2nd Workshop on Applying Computational Intelligence Techniques in Financial Time Series Forecasting and Trading (ACIFF2013) - 1st Workshop on Ethics and Philosophy in Artificial Intelligence (EPAI 2013) - 1st Workshop on Computational Intelligence for Critical Infrastructure Systems (CICIS 2013) - 1st Workshop on Learning stratEgies and dAta Processing in nonStationary environments (LEAPS 2013) - 1st Workshop on Fuzzy Cognitive Maps Theory and Applications (FCMTA 2013) --- Important Dates --- - Abstract submission deadline: April 3, 2013 - Paper submission deadline: April 7, 2013 - Author notifications: May 31, 2013 - Camera-ready submission: June 14, 2013 - Early registration: June 14, 2013 Contact You can contact the conference organizing committee at: aiai2...@aca.cut.ac.cy ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013)
[ please distribute - apologies for multiple postings ] === 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013) to be held in conjunction with the 9th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2013) Paphos, Cyprus, 30th September - 2nd October, 2013 http://aiai2013.cut.ac.cy/ === Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiai2013 Please make sure you select the AIAB Workshop track in the first step of the submission process. Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Important Dates: Full paper submission due: April 26, 2013 Notification of acceptance: May 24, 2013 Camera-ready paper submission: June 7, 2013 Workshop co-chairs: === Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee = Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Rupa Jagannathan, University of Nottingham, UK Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Konstantina Nikita, National Technical University of Athens, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Giorgio Valentini, Universita' degli Studi di Milano, Italy Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013)
[ please distribute - apologies for multiple postings ] == 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013) to be held in conjunction with the 9th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2013) Paphos, Cyprus, 30th September - 2nd October, 2013 http://aiai2013.cut.ac.cy/ == Workshop Theme: === Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. Topics of Interest == Topics of interest include, but are not limited to: * Non-conformity measures * Modifications of the framework * Venn prediction * On-line compression modeling * Extensions to additional problem settings * Theoretical analysis of Conformal Prediction techniques * Applications/usages of Conformal Prediction Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiai2013 Please make sure you select the CoPA Workshop track in the first step of the submission process. Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Important Dates === Full paper submission due: April 26, 2013 Notification of acceptance: May 24, 2013 Camera-ready paper submission: June 7, 2013 Honorary Chairs === Vladimir Vapnik NEC, USA Royal Holloway, University of London, UK Alexei Chervonenkis Russian Academy of Sciences, Russia Royal Holloway, University of London, UK Program Chairs == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Alex Gammerman Royal Holloway, University of London, UK Email: a...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London, UK Email: v...@cs.rhul.ac.uk Program Committee = Vineeth Balasubramanian, Arizona State University, USA Anthony Bellotti, Imperial College London, UK Martin Eklund, Uppsala University, Sweden David R. Hardoon, SAS Singapore Mohamed Hebiri, Universite de Marne-la-Vallee, France Shen-Shyang Ho, Nanyang Technological University, Singapore Yuri Kalnishkan, Royal Holloway University of London, UK Matjaz Kukar, University of Ljubljana, Slovenia Antonis Lambrou, Royal Holloway University of London, UK Rikard Laxhammar, University of Skovde, Sweden Jing Lei, Carnegie Mellon University, USA Yang Li, Chinese Academy of Sciences, China Zhiyuan Luo, Royal Holloway University of London, UK Andrea Murari, Consorzio RFX, Italy Ilia
[UAI] Announcement: A symposium to honour Alexey Chervonenkis’ 75th birthday
[ please distribute - apologies for multiple postings ] Dear colleagues, We would like to announce that we are organizing a symposium to celebrate Alexey Chervonenkis’ 75th birthday. The symposium, entitled Measures of Complexity, will be held in conjunction with the 9th IFIP International Conference on Artificial Intelligence Applications and Innovations (http://aiai2013.cut.ac.cy). It will take place in Paphos, Cyprus at the (5 star) Azia Resort and Spa on the 2nd of October 2013. Alexey Chervonenkis has made a long and outstanding contribution to the area of pattern recognition and computational learning. His first book on Pattern Recognition was published in 1974 (with Professor Vladimir Vapnik) and he has become an established authority in the field. Together they developed the whole new research area of statistical learning theory and pioneering ideas such as the inductive principle of structural risk minimization and VC-dimension. Professor Chervonenkis has been working in the Research Institute of Control Problems at the Russian Academy of Sciences in Moscow for many years and has won many prestigious prizes. He now divides his time between the Academy and the Computer Learning Research Centre of Royal Holloway, University of London. The symposium will include talks by * Alexey Chervonenkis (Russian Academy of Sciences; Yandex, Russia; Royal Holloway, University of London, UK) * Vladimir Vapnik (NEC, USA; Royal Holloway, University of London, UK) * Victor Brailovsky (Tel Aviv University, Israel) * Richard Dudley (MIT, USA) * Konstantin Vorontsov (Russian Academy of Sciences) * Yuri Bakhtin (Georgia Institute of Technology, USA) * Alexander Gammerman (Royal Holloway, University of London, UK) * Vladimir Vovk (Royal Holloway, University of London, UK) We hope to see you at the symposium! Best regards, Harris Papadopoulos, Andreas S. Andreou, Vladimir Vovk and Alex Gammerman ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Deadline Extension: 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013)
[ please distribute - apologies for multiple postings ] The paper submission deadline has been extended to May 15th === 2nd Workshop on Conformal Prediction and its Applications (CoPA 2013) to be held in conjunction with the 9th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2013) Paphos, Cyprus, 30th September - 2nd October, 2013 http://aiai2013.cut.ac.cy/ === *Announcement:* the conference will include a symposium on 'Measures of Complexity' to celebrate the 75th birthday of Professor Alexey Chervonenkis - http://aiai2013.cut.ac.cy/measures-of-complexity-symposium/ Important Dates **Extended** == Full paper submission due: May 15, 2013 Notification of acceptance: June 7, 2013 Camera-ready paper submission: June 21, 2013 Early registration deadline: June 14, 2013 Workshop Theme: === Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. Topics of Interest == Topics of interest include, but are not limited to: * Non-conformity measures * Modifications of the framework * Venn prediction * On-line compression modeling * Extensions to additional problem settings * Theoretical analysis of Conformal Prediction techniques * Applications/usages of Conformal Prediction Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiai2013 Please make sure you select the CoPA Workshop track in the first step of the submission process. Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Honorary Chairs === Alexei Chervonenkis Russian Academy of Sciences, Russia Royal Holloway, University of London, UK Vladimir Vapnik NEC, USA Royal Holloway, University of London, UK Program Chairs == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Alex Gammerman Royal Holloway, University of London, UK Email: a...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London, UK Email: v...@cs.rhul.ac.uk Program Committee = Vineeth Balasubramanian, Arizona State University, USA Anthony Bellotti, Imperial College London, UK Martin Eklund, Uppsala University, Sweden David R. Hardoon, SAS Singapore Mohamed Hebiri, Universite de Marne-la-Vallee, France Shen-Shyang Ho, Nanyang Technological University, Singapore Yuri Kalnishkan, Royal Holloway University
[UAI] Deadline Extension: 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013)
[ please distribute - apologies for multiple postings ] The paper submission deadline has been extended to May 15th === 3rd Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2013) to be held in conjunction with the 9th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2013) Paphos, Cyprus, 30th September - 2nd October, 2013 http://aiai2013.cut.ac.cy/ === Announcement: the conference will include a symposium on 'Measures of Complexity' to celebrate the 75th birthday of Professor Alexey Chervonenkis - http://aiai2013.cut.ac.cy/measures-of-complexity-symposium/ Important Dates *Extended* == Full paper submission due: May 15, 2013 Notification of acceptance: June 7, 2013 Camera-ready paper submission: June 21, 2013 Early registration deadline: June 14, 2013 Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiai2013 Please make sure you select the AIAB Workshop track in the first step of the submission process. Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Workshop co-chairs: === Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou Frederick University, Cyprus Email: e.kyria...@frederick.ac.cy Ilias Maglogiannis University of Central Greece Email: ima...@ucg.gr George Anastassopoulos Democritus University of Thrace Email: ana...@med.duth.gr Program Committee = Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Rupa Jagannathan, University of Nottingham, UK Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Konstantina Nikita, National Technical University of Athens, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Giorgio Valentini, Universita' degli Studi di Milano, Italy Vladimir Vovk, Royal
[UAI] CFP: 4th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2014)
[ please distribute - apologies for multiple postings ] === 4th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2014) to be held in conjunction with the 10th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2014) Island of Rhodes, Greece, September 19 - 21, 2014 http://delab.csd.auth.gr/aiai2014/ === WORKSHOP THEME Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education SUBMISSION Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System (the link will be announced soon). PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. IMPORTANT DATES Full paper submission due: April 22, 2014 Notification of acceptance: May 22, 2014 Camera-ready paper submission: June 2, 2014 WORKSHOP CHAIRS Harris Papadopoulos, Frederick University, Cyprus h.papadopou...@frederick.ac.cy Efthyvoulos Kyriacou, Frederick University, Cyprus e.kyria...@frederick.ac.cy Ilias Maglogiannis, University of Piraeus, Greece ima...@unipi.gr George Anastassopoulos, Democritus University of Thrace, Greece ana...@med.duth.gr PROGRAM COMMITTEE Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Konstantina Nikita, National Technical University of Athens, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014)
[ please distribute - apologies for multiple postings ] === 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014) to be held in conjunction with the 10th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2014) Island of Rhodes, Greece, September 19 - 21, 2014 http://delab.csd.auth.gr/aiai2014/ === WORKSHOP THEME Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. TOPICS OF INTEREST Topics of interest include, but are not limited to: * Non-conformity measures * Modifications of the framework * Venn prediction * On-line compression modeling * Extensions to additional problem settings * Theoretical analysis of Conformal Prediction techniques * Applications/usages of Conformal Prediction SUBMISSION Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System (the link will be announced soon). PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. IMPORTANT DATES Full paper submission due: April 22, 2014 Notification of acceptance: May 22, 2014 Camera-ready paper submission: June 2, 2014 HONORARY CHAIRS Vladimir Vapnik NEC, USA Royal Holloway, University of London, UK Alexei Chervonenkis Russian Academy of Sciences, Russia Royal Holloway, University of London, UK WORKSHOP CHAIRS Harris Papadopoulos, Frederick University, Cyprus h.papadopou...@frederick.ac.cy Alex Gammerman, Royal Holloway, University of London, UK a...@cs.rhul.ac.uk Vladimir Vovk, Royal Holloway, University of London, UK v...@cs.rhul.ac.uk PROGRAM COMMITTEE Vineeth Balasubramanian, Indian Institute of Technology - Hyderabad, India Anthony Bellotti, Imperial College London, UK Mohamed Hebiri, Universite de Marne-la-Vallee, France Shen-Shyang Ho, Nanyang Technological University, Singapore Zakria Hussain, University College London, UK Yuri Kalnishkan, Royal Holloway University of London, UK Matjaz Kukar, University of Ljubljana, Slovenia Antonis Lambrou, Royal Holloway University of London, UK Rikard Laxhammar, University of Skovde, Sweden Jing Lei, Carnegie Mellon University, USA Zhiyuan Luo, Royal Holloway University of London, UK Andrea Murari, Consorzio RFX, Italy Ilia Nouretdinov, Royal Holloway University of London, UK Klea Panayidou, Frederick University, Cyprus Savvas Pericleous, Frederick University, Cyprus Frank-Michael Schleif, Bielefeld University, Germany Evgueni N. Smirnov, Maastricht University, The Netherlands David Surkov, Egham Capital, UK Jesus Vega, Asociacion
[UAI] Deadline Extension: 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014)
[ please distribute - apologies for multiple postings ] ***The paper submission deadline has been extended to May 10th*** === 3rd Workshop on Conformal Prediction and its Applications (CoPA 2014) to be held in conjunction with the 10th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2014) Island of Rhodes, Greece, September 19 - 21, 2014 http://delab.csd.auth.gr/aiai2014/workshops.php?workshop_id=6 === Important Dates *Extended*: === Full paper submission due: May 10th, 2014 Notification of acceptance: June 14th, 2014 Camera-ready paper submission: June 21st, 2014 Workshop Theme: === Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the backcalculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The workshop welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. Topics of Interest == Topics of interest include, but are not limited to: * Non-conformity measures * Modifications of the framework * Venn prediction * On-line compression modeling * Extensions to additional problem settings * Theoretical analysis of Conformal Prediction techniques * Applications/usages of Conformal Prediction Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=copa2014 Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Honorary Chairs === Vladimir Vapnik NEC, USA Royal Holloway, University of London, UK Alexei Chervonenkis Russian Academy of Sciences, Russia Royal Holloway, University of London, UK Program Chairs == Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy Alex Gammerman Royal Holloway, University of London, UK Email: a...@cs.rhul.ac.uk Vladimir Vovk Royal Holloway, University of London, UK Email: v...@cs.rhul.ac.uk Program Committee = Vineeth Balasubramanian, Arizona State University, USA Anthony
[UAI] Deadline Extension: 4th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2014)
[ please distribute - apologies for multiple postings ] ***The paper submission deadline has been extended to May 10th*** === 4th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2014) to be held in conjunction with the 10th IFIP Conference on Artificial Intelligence Applications Innovations (AIAI 2014) Island of Rhodes, Greece, September 19 - 21, 2014 http://delab.csd.auth.gr/aiai2014/workshops.php?workshop_id=5 === Important Dates *Extended*: === Full paper submission due: May 10th, 2014 Notification of acceptance: June 14th, 2014 Camera-ready paper submission: June 21st, 2014 Workshop Theme: === Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the well-known LNCS Springer style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://www.easychair.org/conferences/?conf=aiab2014 Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. Accepted papers will be presented at the workshop and published in the Proceedings of the main event (by Springer). They will also be considered for potential publication in the Special Issues of the Conference. Workshop co-chairs: === Harris Papadopoulos, Frederick University, Cyprus (h.papadopou...@frederick.ac.cy) Efthyvoulos Kyriacou, Frederick University, Cyprus (e.kyria...@frederick.ac.cy) Ilias Maglogiannis, University of Piraeus, Greece (ima...@unipi.gr) George Anastassopoulos, Democritus University of Thrace, Greece (ana...@med.duth.gr) Program Committee = Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Rupa Jagannathan, University of Nottingham, UK Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Antonis Lambrou, Royal Holloway University of London, UK Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Konstantina Nikita, National Technical University of Athens, Greece Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos
[UAI] CFP: 3rd International Symposium on Learning and Data Sciences (SLDS 2015)
- Yuri Kalnishkan (co-chair) - UK - Myriam Touati - France - Janet Hales - UK Programme Committee: - Xiaohui Liu (co-chair) - UK - Fionn Murtagh (co-chair) - UK - Harris Papadopoulos (co-chair) - Cyprus SPONSORS: - Royal Statistical Society - British Computer Society - British Classification Society - Classification Society - Royal Holloway, University of London ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: 3rd International Symposium on Learning and Data Sciences (SLDS 2015)
- Yuri Kalnishkan (co-chair) - UK - Myriam Touati - France - Janet Hales - UK Programme Committee: - Xiaohui Liu (co-chair) - UK - Fionn Murtagh (co-chair) - UK - Harris Papadopoulos (co-chair) - Cyprus SPONSORS: - Royal Statistical Society - British Computer Society - British Classification Society - Classification Society - Royal Holloway, University of London ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: Special Session on Conformal Prediction and its Applications (CoPA 2015 Workshop)
[ please distribute - apologies for
multiple postings ]
===
Special Session on Conformal Prediction and its
Applications (CoPA 2015 Workshop)
at the
3rd International Symposium on Learning and Data
Sciences (SLDS 2015)
Royal Holloway, University of London, UK, April 20 -
22, 2015
http://www.clrc.rhul.ac.uk/slds2015/
===
Important Dates:
Full paper submission: November 21st,
2014
Author Notifications: December 19th,
2014
Camera-ready submission: January
16th, 2015
Early Registration: January 16th,
2015
Theme:
==
Quantifying the uncertainty of the
predictions produced by classification and regression techniques
is an important problem in the field of Machine Learning.
Conformal Prediction is a recently developed framework for
complementing the predictions of Machine Learning algorithms with
reliable measures of confidence. The methods developed based on
this framework produce well-calibrated confidence measures for
individual examples without assuming anything more than that the
data are generated independently by the same probability
distribution (i.i.d.).
Since its development the framework
has been combined with many popular techniques, such as Support
Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge
Regression etc., and has been successfully applied to many
challenging real world problems, such as the early detection of
ovarian cancer, the classification of leukaemia subtypes, the
diagnosis of acute abdominal pain, the assessment of stroke risk,
the recognition of hypoxia in electroencephalograms (EEGs), the
prediction of plant promoters, the prediction of network traffic
demand, the estimation of effort for software projects and the
backcalculation of non-linear pavement layer moduli. The framework
has also been extended to additional problem settings such as
semi-supervised learning, anomaly detection, feature selection,
outlier detection, change detection in streams and active
learning. The aim of this special session is to serve as a forum
for the presentation of new and ongoing work and the exchange of
ideas between researchers on any aspect of Conformal Prediction
and its applications.
The special session welcomes
submissions introducing further developments and extensions of the
Conformal Prediction framework and describing its application to
interesting problems of any field.
Topics of Interest
==
Topics of interest include, but are
not limited to:
* Non-conformity measures
* Modifications of the framework
* Venn prediction
* On-line compression modeling
* Extensions to additional problem
settings
* Theoretical analysis of Conformal
Prediction techniques
* Applications/usages of Conformal
Prediction
Submission
==
Authors are invited to submit
original, English-language research contributions or experience
reports. Papers should be no longer than 10 pages formatted
according to the well-known LNCS/LNAI Springer style. All aspects
of the submission and notification process will be handled online
via the EasyChair Conference System at:
http://www.easychair.org/conferences/?conf=slds2015
Please make sure you select the
"Special Session: Conformal Prediction and it's Applications"
track in the first step of the submission process.
Publication
===
Submitted papers will be refereed for
quality, correctness, originality, and relevance. Notification and
reviews will be communicated via email. Accepted papers will be
presented at the Symposium and published by Springer in a volume
of the Lecture Notes in Artificial Intelligence (LNAI) series.
They will also be considered for potential publication in the
Special Issues of the Symposium.
Honorary Chairs
===
Vladimir Vapnik
NEC, USA Royal Holloway,
University of London, UK
Alexei Chervonenkis
Russian Academy of Sciences, Russia
Royal Holloway, University of London, UK
Program Chairs
======
Harris Papadopoulos
Frederick University, Cyprus
Email: h.papadopou...@frederick.ac.cy
[UAI] Final CFP (deadline 21st Nov.): 3rd International Symposium on Learning and Data Sciences (SLDS 2015)
, University of London, UK - Alex Gammerman - Royal Holloway, University of London, UK - Volodya Vovk - Royal Holloway, University of London, UK Organising Committee - Zhiyuan Luo (co-chair) - UK - Mireille Summa (co-chair) - France - Yuri Kalnishkan (co-chair) - UK - Myriam Touati - France - Janet Hales - UK Programme Committee - Xiaohui Liu (co-chair) - UK - Fionn Murtagh (co-chair) - UK - Harris Papadopoulos (co-chair) - Cyprus SPONSORS - Royal Statistical Society - British Computer Society - British Classification Society - Classification Society - Royal Holloway, University of London ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Final CFP: 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015)
[ please distribute - apologies for multiple postings ] *** CALL FOR PAPERS *** 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015) to be held in conjunction with the 16th International Conference on Engineering Applications of Neural Networks (EANN 2015) Island of Rhodes, Greece, September 25 - 28, 2015 http://delab.csd.auth.gr/eann2015/workshops.php?workshop_id=3 *** * IMPORTANT DATES * Paper submission deadline: May 4th, 2015 Author notifications: May 24th, 2015 Camera-ready submission deadline: May 31st, 2015 Early registration deadline: June 7th, 2015 * WORKSHOP THEME * Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education * SUBMISSION * Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the ACM SIG proceedings style. The ACM SIG proceedings templates and instructions for authors can be found at: http://www.acm.org/publications/article-templates/proceedings-template.html/ All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=aiab2015 * PUBLICATION * Submitted papers will be refereed for quality, correctness, originality, and relevance. Accepted papers will be presented at the Workshop and published in a separate Proceedings volume by ACM. They will also be considered for potential publication in the Special Issues of the Conference. * WORKSHOP CHAIRS * Harris Papadopoulos, Frederick University, Cyprus (h.papadopou...@frederick.ac.cy) Efthyvoulos Kyriacou, Frederick University, Cyprus (e.kyria...@frederick.ac.cy) Ilias Maglogiannis, University of Piraeus, Greece (ima...@unipi.gr) George Anastassopoulos, Democritus University of Thrace, Greece (ana...@med.duth.gr) * PROGRAM COMMITTEE * Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Vineeth Balasubramanian, Indian Institute of Technology, Hyderabad, India Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Vangelis Metsis, Texas State University, USA Konstantina Nikita, National Technical University of Athens, Greece Ilia Nouretdinov, Royal Holloway University of London, UK Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Deadline Extension: 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015)
[ please distribute - apologies for multiple postings ] *** The paper submission deadline has been extended to May 24th *** *** CALL FOR PAPERS *** 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015) to be held in conjunction with the 16th International Conference on Engineering Applications of Neural Networks (EANN 2015) Island of Rhodes, Greece, September 25 - 28, 2015 http://delab.csd.auth.gr/eann2015/workshops.php?workshop_id=3 *** * IMPORTANT DATES - Extended * Paper submission deadline: May 24th, 2015 Author notifications: June 15th, 2015 Camera-ready submission deadline: June 22nd, 2015 Early registration deadline: June 22nd, 2015 * WORKSHOP THEME * Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education * SUBMISSION * Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the ACM SIG proceedings style. The ACM SIG proceedings templates and instructions for authors can be found at: http://www.acm.org/publications/article-templates/proceedings-template.html/ All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=aiab2015 * PUBLICATION * Submitted papers will be refereed for quality, correctness, originality, and relevance. Accepted papers will be presented at the Workshop and published in a separate Proceedings volume by ACM. They will also be considered for potential publication in the Special Issues of the Conference. * WORKSHOP CHAIRS * Harris Papadopoulos, Frederick University, Cyprus (h.papadopou...@frederick.ac.cy) Efthyvoulos Kyriacou, Frederick University, Cyprus (e.kyria...@frederick.ac.cy) Ilias Maglogiannis, University of Piraeus, Greece (ima...@unipi.gr) George Anastassopoulos, Democritus University of Thrace, Greece (ana...@med.duth.gr) * PROGRAM COMMITTEE * Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Vineeth Balasubramanian, Indian Institute of Technology, Hyderabad, India Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Vangelis Metsis, Texas State University, USA Konstantina Nikita, National Technical University of Athens, Greece Ilia Nouretdinov, Royal Holloway University of London, UK Constantinos Pattichis, University of Cyprus, Cyprus Vassilis
[UAI] CFP: 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015)
[ please distribute - apologies for multiple postings ] *** CALL FOR PAPERS *** 5th Workshop on Artificial Intelligence Applications in Biomedicine (AIAB 2015) to be held in conjunction with the 16th International Conference on Engineering Applications of Neural Networks (EANN 2015) Island of Rhodes, Greece, September 25 - 28, 2015 http://delab.csd.auth.gr/eann2015/workshops.php?workshop_id=3 *** * IMPORTANT DATES * Paper submission deadline: May 4th, 2015 Author notifications: May 24th, 2015 Camera-ready submission deadline: May 31st, 2015 Early registration deadline: June 7th, 2015 * WORKSHOP THEME * Recent technological advances in computer science and biomedicine facilitated the development of complex biomedical systems including sophisticated medical imaging, signal processing systems and computer based decision support tools, assisting diagnosis for better delivery of health care services. Meanwhile, applications of Machine Learning, Neural Computing, Expert Systems, Fuzzy Logic and Evolutionary Computing in biomedicine are continuously emerging. Therefore AI tools and techniques are a vital part of modern computer based systems that handle medical data. The aim of this workshop is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers interested in the application of AI in any aspect of biomedicine and electronic healthcare. The subject areas of the workshop include, but are not limited to, the following: * Clinical decision support systems * Medical imaging * Medical signal processing * Medical knowledge engineering * Knowledge-based and agent-based systems * Medical text analysis * Computational intelligence in bio- and clinical medicine * Data mining on medical data and records * Intelligent medical information systems * Clinical expert systems * Modelling and simulation of medical processes * Drug discovery * Intelligent analysis of genomic and proteomic data * Personalised medicine * Intelligent devices and instruments * Automated reasoning and metareasoning in medicine * AI in medical education * SUBMISSION * Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 10 pages formatted according to the ACM proceedings style. All aspects of the submission and notification process will be handled online via the EasyChair Conference System. * PUBLICATION * Submitted papers will be refereed for quality, correctness, originality, and relevance. Accepted papers will be presented at the Workshop and published in a separate Proceedings volume by ACM. They will also be considered for potential publication in the Special Issues of the Conference. * WORKSHOP CHAIRS * Harris Papadopoulos, Frederick University, Cyprus (h.papadopou...@frederick.ac.cy) Efthyvoulos Kyriacou, Frederick University, Cyprus (e.kyria...@frederick.ac.cy) Ilias Maglogiannis, University of Piraeus, Greece (ima...@unipi.gr) George Anastassopoulos, Democritus University of Thrace, Greece (ana...@med.duth.gr) * PROGRAM COMMITTEE * Adam Adamopoulos, Democritus University of Thrace, Greece Ioannis Anagnostopoulos, University of Central Greece, Greece Vineeth Balasubramanian, Indian Institute of Technology, Hyderabad, India Panagiotis Bamidis, Aristotle University of Thessaloniki, Greece Nikolaos Bourbakis, Wright State University, USA Aristotle Chatziioannou, National Hellenic Research Foundation, Greece Charalampos Doukas, University of Aegean, Greece Alex Gammerman, Royal Holloway University of London, UK Ioannis K. Hatzilygeroudis, University of Patras, Greece Vangelis Karkaletsis, NCSR Demokritos, Greece Dimitrios Kosmopoulos, NCSR Demokritos, Greece Christos Loizou, Intercollege, Cyprus Dimitris Lymberopoulos, University of Patras, Greece Vangelis Metsis, Texas State University, USA Konstantina Nikita, National Technical University of Athens, Greece Ilia Nouretdinov, Royal Holloway University of London, UK Constantinos Pattichis, University of Cyprus, Cyprus Vassilis Plagianakos, University of Central Greece, Greece Christos N. Schizas, University of Cyprus, Cyprus Ioannis Seimenis, Democritus University of Thrace, Greece Vladimir Vovk, Royal Holloway University of London, UK ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017)
[ please distribute - apologies for multiple postings ] ** The 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017) June 14-16, 2017 Stockholm, Sweden http://clrc.rhul.ac.uk/copa2017/ ** THEME Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the back calculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this symposium is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The symposium welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. TOPICS The topics of the symposium include, but are not limited to: - Non-conformity measures - Venn prediction - On-line compression modeling - Theoretical analysis of Conformal Prediction techniques - Applications/usages of Conformal Prediction - Machine learning - Pattern recognition - Regression estimation - Density estimation - Algorithmic information theory - Measures of confidence - Applications in Bioinformatics and Medicine - Applications in Information Security and Homeland Security - Data mining and visualization - Big data applications - Data analysis applications in science and engineering - Uncertainty quantification SPECIAL SESSION Novel Directions of Applying Machine Learning in Chemoinformatics IMPORTANT DATES - Paper Submission Deadline: March 31st, 2017 - Author Notifications: May 5th, 2017 - Camera-ready Submission Deadline: May 23rd, 2017 - Symposium Dates: June 14th-16th, 2017 SUBMISSIONS Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available here. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=copa2017 PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the conference and published by JMLR Workshop and Conference Proceedings (volume 60). Accepted papers in the special session “Machine Learning in Cheminfomatics” will be invited to submit an extended version of their manuscripts to a special issue in Journal of Cheminformatics. General Chairs - Alex Gammerman (UK) - Vladimir Vapnik, AI Research Facebook, Columbia University USA and Royal Holloway, University of London, UK - Volodya Vovk (UK) Local Organising Committee - Lars Carlsson - Sweden - Ola Engkvist - Sweden - Martin Eklund - Sweden - Ernst Ahlberg Helgee - Sweden - Ulf Norinder - Sweden - Ola Spjuth - Sweden Programme Committee Chairs - Zhiyuan Luo - UK - Harris Papadopoulos - Cyprus SPONSORS - Yandex - AstraZeneca ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP: 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017)
[ please distribute - apologies for multiple postings ] ** The 6th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2017) June 14-16, 2017 Stockholm, Sweden http://clrc.rhul.ac.uk/copa2017/ ** THEME Quantifying the uncertainty of the predictions produced by classification and regression techniques is an important problem in the field of Machine Learning. Conformal Prediction is a recently developed framework for complementing the predictions of Machine Learning algorithms with reliable measures of confidence. The methods developed based on this framework produce well-calibrated confidence measures for individual examples without assuming anything more than that the data are generated independently by the same probability distribution (i.i.d.). Since its development the framework has been combined with many popular techniques, such as Support Vector Machines, k-Nearest Neighbours, Neural Networks, Ridge Regression etc., and has been successfully applied to many challenging real world problems, such as the early detection of ovarian cancer, the classification of leukaemia subtypes, the diagnosis of acute abdominal pain, the assessment of stroke risk, the recognition of hypoxia in electroencephalograms (EEGs), the prediction of plant promoters, the prediction of network traffic demand, the estimation of effort for software projects and the back calculation of non-linear pavement layer moduli. The framework has also been extended to additional problem settings such as semi-supervised learning, anomaly detection, feature selection, outlier detection, change detection in streams and active learning. The aim of this symposium is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of Conformal Prediction and its applications. The symposium welcomes submissions introducing further developments and extensions of the Conformal Prediction framework and describing its application to interesting problems of any field. TOPICS The topics of the symposium include, but are not limited to: - Non-conformity measures - Venn prediction - On-line compression modeling - Theoretical analysis of Conformal Prediction techniques - Applications/usages of Conformal Prediction - Machine learning - Pattern recognition - Regression estimation - Density estimation - Algorithmic information theory - Measures of confidence - Applications in Bioinformatics and Medicine - Applications in Information Security and Homeland Security - Data mining and visualization - Big data applications - Data analysis applications in science and engineering - Uncertainty quantification SPECIAL SESSION Novel Directions of Applying Machine Learning in Chemoinformatics IMPORTANT DATES - Paper Submission Deadline: February 10th, 2017 - Author Notifications: April 10th, 2017 - Camera-ready Submission Deadline: May 10th, 2017 - Symposium Dates: June 14th-16th, 2017 SUBMISSIONS Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available here. All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=copa2017 PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the conference and published by JMLR Workshop and Conference Proceedings (volume 60). Accepted papers in the special session “Machine Learning in Cheminfomatics” will be invited to submit an extended version of their manuscripts to a special issue in Journal of Cheminformatics. General Chairs - Alex Gammerman (UK) - Vladimir Vapnik, AI Research Facebook, Columbia University USA and Royal Holloway, University of London, UK - Volodya Vovk (UK) Local Organising Committee - Lars Carlsson - Sweden - Ola Engkvist - Sweden - Martin Eklund - Sweden - Ernst Ahlberg Helgee - Sweden - Ulf Norinder - Sweden - Ola Spjuth - Sweden Programme Committee Chairs - Zhiyuan Luo - UK - Harris Papadopoulos - Cyprus SPONSORS - Yandex - AstraZeneca ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CFP: Special Session on Conformal Prediction in Medical Applications
[ please distribute - apologies for multiple postings ] === Special Session on Conformal Prediction in Medical Applications at the 7th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2018) Maastricht, The Netherlands, June 11 - 13, 2018 http://www.clrc.rhul.ac.uk/copa2018/ === Important Dates: Full paper submission: March 19th, 2018 Author Notifications: April 30th, 2018 Poster abstract Submission: May 4th, 2018 Camera-ready submission: May 14th, 2018 Theme: == A substantial body of work from researchers around the globe has been devoted to the development of Machine Learning techniques for a variety of medical applications. Due to the risk sensitive nature of the particular application area, the quantification of uncertainty in the outputs of such techniques is of paramount importance. This renders Conformal Prediction as a key tool for strengthening the impact that the intelligent analysis of medical and biomedical data can have in healthcare. Already several Conformal Prediction approaches have been developed and have been shown to be extremely useful for tackling particular medical problems. The aim of this special session is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on the application of Conformal Prediction in medicine. Submission == Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. Instructions for formatting JMLR papers are available at: http://www.jmlr.org/format/format.html All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=copa2018 Please make sure you select the "Special Session: Conformal Prediction in Medical Applications" track in the first step of the submission process. Publication === Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the symposium and published by PMLR (Proceedings of Machine Learning Research). They will also be considered for potential publication in the Special Issues of the Symposium. Special Session Chair ===== Harris Papadopoulos Frederick University, Cyprus Email: h.papadopou...@frederick.ac.cy ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] Postdoc position in Applied Machine Learning at Frederick Research Center, Cyprus
[ please distribute - apologies for multiple postings ] The Frederick Research Center invites applications for one (1) postdoctoral position within the research topics of machine learning applied to web & mobile computing challenges. This position is part of the project “EnterCY: Enhancing Tourist Experience in Cyprus” funded by the national Research Promotion Foundation (RPF). The EnterCY project aims at developing an integrated web and mobile platform for enhancing the experience of tourists in Cyprus by utilizing cutting-edge technologies including machine learning, virtual and augmented reality, big data management and mobile computing. Its consortium is composed of nine (9) partners from different sectors (i.e., academia, government, industry and tourism-related associations). The successful applicant will perform research on intelligent data analysis and the development of machine learning techniques for applied problems in the area of web and mobile computing, under the supervision of Dr. Harris Papadopoulos (http://staff.frederick.ac.cy/com.ph/) and Dr. Andreas Konstantinidis (http://mdl.frederick.ac.cy/Profile/akonst/). As part of this multi-disciplinary project, the successful applicant will have the opportunity to closely collaborate with researchers from a multitude of ICT-related domains, as well as various other domains including cultural heritage, tourism, cognitive psychology, 3D modeling and virtualization. This is a three (3) year postdoc position (renewable) starting around January 2019 with an entry-level salary of 1800-2500 EUR depending on experience and qualifications. Applications should include: - a short (up to one page) research statement; - current extended Curriculum Vitae; - the candidate’s top 3 publications; - a list of publications and - the names and contact details for two (2) referees. The applications and any inquiries should be sent to: com...@frederick.ac.cy, with subject "Post-doc application". Applications will be continuously evaluated upon reception. ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] 2nd CfP: 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023)
[ Please distribute - apologies for multiple postings ] *** Call for Papers *** The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) September 13-15, 2023, Miramare Beach Hotel, Limassol, Cyprus https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcopa-conference.com%2F=05%7C01%7Cuai%40engr.orst.edu%7C5e14188045444ae8017808db20b691e4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638139740719299252%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=6SmYJD0Y26Zm3ZO1TNhEGw5n6Y9BaMNhNtduZtp0ogc%3D=0 THEME The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) will be held from the 13th to the 15th of September 2023, at the Miramare Beach Hotel in Limassol, Cyprus. Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction. The symposium proceedings will be published in the Proceedings of Machine Learning Research. Conformal prediction (CP) is a modern machine learning framework that allows making valid predictions under relatively weak statistical assumptions. CP can be combined with any conventional predictor for producing set predictions with a guaranteed accuracy, thus allowing the error levels to be controlled by the user. Consequently, CP has been widely applied to practical real-life challenges and formed the basis for the development of many novel approaches and extensions. The aim of this symposium is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of conformal and probabilistic prediction, including their application to interesting problems in any field. AWARDS There will be two Alexey Chervonenkis awards for the best paper and the best student paper. Each awardee will receive a certificate and a monetary prize of €100. TOPICS The topics of the symposium include, but are not limited to: - Theoretical analysis of conformal prediction, including performance guarantees - Novel conformity measures - Conformal change-point detection - Conformal anomaly detection - Conformal martingale testing - Conformal multi-label classification and multi-target regression - Venn prediction and other methods of multiprobability prediction - Conformal predictive distributions - Probabilistic prediction - On-line compression modelling - Algorithmic information theory - Adoption of conformal prediction to new settings - Implementations of conformal prediction frameworks and algorithms - Conformal prediction for explainable machine learning and Fairness, Accountability and Transparency (FAT) - Applications of conformal prediction in various fields, including bioinformatics, drug discovery, biomedicine, natural language processing, transportation, robotics and information security IMPORTANT DATES - Abstract Submission Deadline: March 17th, 2023 - Paper Submission Deadline: March 24th, 2023 - Author Notifications: May 8th, 2023 - Camera-ready Submission Deadline: May 31st, 2023 - Symposium Dates: September 13th - 15th, 2023 SUBMISSIONS Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fctan.org%2Ftex-archive%2Fmacros%2Flatex%2Fcontrib%2Fjmlr=05%7C01%7Cuai%40engr.orst.edu%7C5e14188045444ae8017808db20b691e4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638139740719299252%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=tYEJVXJsKFZgeM86UuCUQ03cOFTuv%2FmJV4oBeV3u5ME%3D=0 All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dcopa2023=05%7C01%7Cuai%40engr.orst.edu%7C5e14188045444ae8017808db20b691e4%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638139740719299252%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=fw7GJc6OMMhJ2RnwUoZ3AikqDnI3%2BXuHreuRzOthUGI%3D=0 Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the symposium to present the work. PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the Symposium and published in the PMLR (Proceedings of Machine Learning Research).
[UAI] Call for Extended Abstracts: 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023)
[ Please distribute - apologies for multiple postings ] The paper submission deadline has passed, but you can still give a short presentation of your work at COPA 2023 by submitting a 2-page extended abstract that will be published in the Symposium proceedings. The deadline for extended abstract submission is the 8th of May. You can submit at any time before that, though, and we will provide you with a decision within one week. *** Call for Extended Abstracts *** The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) September 13-15, 2023, Miramare Beach Hotel, Limassol, Cyprus https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcopa-conference.com%2F=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=0VbhxqFk3u38P0C9KuTiyS46n7qzdov0eb4PLpUb9tw%3D=0 THEME The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) will be held from the 13th to the 15th of September 2023, at the Miramare Beach Hotel in Limassol, Cyprus. Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction. The symposium proceedings will be published in the Proceedings of Machine Learning Research. Conformal prediction (CP) is a modern machine learning framework that allows making valid predictions under relatively weak statistical assumptions. CP can be combined with any conventional predictor for producing set predictions with a guaranteed accuracy, thus allowing the error levels to be controlled by the user. Consequently, CP has been widely applied to practical real-life challenges and formed the basis for the development of many novel approaches and extensions. The aim of this symposium is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of conformal and probabilistic prediction, including their application to interesting problems in any field. AWARDS There will be two Alexey Chervonenkis awards for the best paper and the best student paper. Each awardee will receive a certificate and a monetary prize of €100. TOPICS The topics of the symposium include, but are not limited to: - Theoretical analysis of conformal prediction, including performance guarantees - Novel conformity measures - Conformal change-point detection - Conformal anomaly detection - Conformal martingale testing - Conformal multi-label classification and multi-target regression - Venn prediction and other methods of multiprobability prediction - Conformal predictive distributions - Probabilistic prediction - On-line compression modelling - Algorithmic information theory - Adoption of conformal prediction to new settings - Implementations of conformal prediction frameworks and algorithms - Conformal prediction for explainable machine learning and Fairness, Accountability and Transparency (FAT) - Applications of conformal prediction in various fields, including bioinformatics, drug discovery, biomedicine, natural language processing, transportation, robotics and information security IMPORTANT DATES - Extended Abstract (2-pages) Submission Deadline: May 8th, 2023 (decision within one week of submission) - Camera-ready Submission Deadline: May 31st, 2023 - Symposium Dates: September 13th - 15th, 2023 SUBMISSIONS Extended abstracts should be no longer than 2 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fctan.org%2Ftex-archive%2Fmacros%2Flatex%2Fcontrib%2Fjmlr=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=tSSYUWr1sUWt0v%2BCw8%2Fz9SGpo1blRhjjqSkU%2ByE9btA%3D=0 All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair.org%2Fconferences%2F%3Fconf%3Dcopa2023=05%7C01%7Cuai%40engr.orst.edu%7C882ed81dbbd145c705d408db40b3a5f3%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638174912550090817%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C=sGXeXdefc7wwfo3kx%2Fb5CGbCmEynCwNGs4PU5obNVks%3D=0 Submission of an extended abstract should be regarded as a commitment that, should it be accepted, at least one of the authors will register and attend the symposium to present the work. PUBLICATION All
[UAI] CfP: 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023)
[ Please distribute - apologies for multiple postings ] *** Call for Papers *** The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) September 13-15, 2023, Miramare Beach Hotel, Limassol, Cyprus https://copa-conference.com/ THEME The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) will be held from the 13th to the 15th of September 2023, at the Miramare Beach Hotel in Limassol, Cyprus. Submissions are invited on original and previously unpublished research concerning all aspects of conformal and probabilistic prediction. The symposium proceedings will be published in the Proceedings of Machine Learning Research. Conformal prediction (CP) is a modern machine learning framework that allows making valid predictions under relatively weak statistical assumptions. CP can be combined with any conventional predictor for producing set predictions with a guaranteed accuracy, thus allowing the error levels to be controlled by the user. Consequently, CP has been widely applied to practical real-life challenges and formed the basis for the development of many novel approaches and extensions. The aim of this symposium is to serve as a forum for the presentation of new and ongoing work and the exchange of ideas between researchers on any aspect of conformal and probabilistic prediction, including their application to interesting problems in any field. AWARDS There will be two Alexey Chervonenkis awards for the best paper and the best student paper. Each awardee will receive a certificate and a monetary prize of €100. TOPICS The topics of the symposium include, but are not limited to: - Theoretical analysis of conformal prediction, including performance guarantees - Novel conformity measures - Conformal change-point detection - Conformal anomaly detection - Conformal martingale testing - Conformal multi-label classification and multi-target regression - Venn prediction and other methods of multiprobability prediction - Conformal predictive distributions - Probabilistic prediction - On-line compression modelling - Algorithmic information theory - Adoption of conformal prediction to new settings - Implementations of conformal prediction frameworks and algorithms - Conformal prediction for explainable machine learning and Fairness, Accountability and Transparency (FAT) - Applications of conformal prediction in various fields, including bioinformatics, drug discovery, biomedicine, natural language processing, transportation, robotics and information security IMPORTANT DATES - Abstract Submission Deadline: March 17th, 2023 - Paper Submission Deadline: March 24th, 2023 - Author Notifications: May 8th, 2023 - Camera-ready Submission Deadline: May 31st, 2023 - Symposium Dates: September 13th - 15th, 2023 SUBMISSIONS Authors are invited to submit original, English-language research contributions or experience reports. Papers should be no longer than 20 pages formatted according to the well-known JMLR (Journal of Machine Learning Research) style. The LaTeX package for the style is available at: https://ctan.org/tex-archive/macros/latex/contrib/jmlr All aspects of the submission and notification process will be handled online via the EasyChair Conference System at: https://easychair.org/conferences/?conf=copa2023 Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the symposium to present the work. PUBLICATION Submitted papers will be refereed for quality, correctness, originality, and relevance. Notification and reviews will be communicated via email. All accepted papers will be presented at the Symposium and published in the PMLR (Proceedings of Machine Learning Research). ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] Research Associate Position at the Computational Intelligence Research Lab of Frederick University
The Computational Intelligence Research Lab <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.frederick.ac.cy%2Fen%2Fcoin-computational-intelligence-research-lab=05%7C02%7Cuai%40engr.orst.edu%7C030daf968f154626cd8608dbfbb83ee1%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638380540969088961%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C=WiftMpDS51jpmV3tIkTDwhmj2CE2YaPQCFUAvnTDB08%3D=0> (COIN) of the Department of Electrical Engineering, Computer Engineering and Informatics, Frederick University, announces one full time research associate position <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.frederick.ac.cy%2Ffu_documents%2Ffu_jobs%2FCOIN_Vacancy_Researcher.pdf=05%7C02%7Cuai%40engr.orst.edu%7C030daf968f154626cd8608dbfbb83ee1%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638380540969245225%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C=sd2Ptafi%2B4a7kChr%2Fpp9tDiuQexftHw%2BBdL1A0JevLY%3D=0>. The successful applicant will mainly work as a Researcher on EU and Nationally funded projects that COIN coordinates. An important focus of this research work will be the probabilistically valid quantification of uncertainty in machine learning predictions. Besides research activities, s/he will be required to support the management of projects. *Qualifications* The ideal applicant should be a highly-motivated individual with proven capability to work in a demanding, multi-disciplinary research environment and eager to be actively engaged in research and other demanding activities of projects, while collaborating efficiently with the other members of the COIN team. Qualification requirements include: - Deg MSc and/or PhD in Computer Science or Related Fields. - Knowledge and previous experience in machine learning, deep learning, computer vision or related fields. - Very good knowledge of the English language. - Previous experience in proposal writing will be considered as a plus. The applicants must be eligible under Cyprus legislation to be employed in Cyprus. *Duties and Responsibilities* The successful applicant will need to work on research and development as well as management on related tasks of projects that COIN is involved in. S/he will be strongly encouraged to pursue PhD studies (in case s/he does not possess the relevant degree). *Employment Terms* The position is on a contract basis of 24 months – 150 hours/month – full-time, subject to renewal (based on performance and availability of funding). The monthly gross salary cost is equal to *€1500 – 2300 depending on qualifications*. *Application Procedure and deadlines* Interested candidates should submit their application *by the 21st of January 2024* with the following items, *in PDF format, via e-mail to*: Dr. Harris Papadopoulos, h.papadopou...@frederick.ac.cy, CC: Dr. Andreas Constantinides, com...@frederick.ac.cy, with subject: *Application for the Research Associate Position at COIN*. 1. A cover letter in which they express interest in the position with a brief review of their related work and clearly indicate the date on which they are available to assume responsibilities. 2. A detailed curriculum vitae in English. 3. Proof of their qualifications – including BSc/MSc/PhD degree(s) and transcripts. 4. The names and contact details of at least two persons (non-relatives) from whom references may be requested. *Shortlisted candidates will be invited for a face-to-face or online interview.* It is noted that: 1. The Frederick University implements a policy of equal opportunities in recruitment and subsequent career stages and encourages people of both genders to apply for research and management positions at all levels. 2. The Frederick University does not discriminate on the basis of race, colour, religion, gender, nationality, age, physical ability, marital status and sexual orientation. ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
