"Augmenting Human Intelligence with Artificial Intelligence" Call for Papers - CD-MAKE 2019 3rd International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction CD-MAKE is a joint effort of IFIP TC 5, TC 12, IFIP WG 8.4, WG 8.9 and WG 12.9 and is held in conjunction with the International Conference on Availability, Reliability & Security, ARES 2018
Machine learning is the workhorse of Artificial Intelligence with enormous challenges in various application domains. It needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from diverse fields. Conference Location: University of Kent, Canterbury, UK Conference Website https://cd-make.net<https://cd-make.net/> Submission link https://easychair.org/conferences/?conf=cdmake2019 Submission Deadline (soft deadline): April, 8, 2019 Author Notification: May, 24, 2019 - Author registration before June 13, 2019 Camera Ready Deadline (hard deadline): June, 23, 2019 Conference: August, 26-29, 2019 EasyChair Submission Link https://easychair.org/conferences/?conf=cdmake2019 The goal of the CD-MAKE conference is to act as an innovative catalysator and to bring together researchers from the following seven thematic sub-areas in a cross-disciplinary manner, to stimulate fresh ideas and to encourage multi-disciplinary problem solving: - DATA - Data science (data fusion, preprocessing, mapping, knowledge representation, discovery) - LEARNING - Machine learning algorithms, contextual adaptation, explainable-AI, causal reasoning - VISUALIZATION - and visual analytics, intelligent user interfaces, human-computer interaction - PRIVACY - data protection, safety, security, ethics, acceptance and social issues of ML - NETWORK - graphical models, graph-based ML - TOPOLOGY - geometrical machine learning, topological data analysis, manifold learning - ENTROPY - time and machine learning, entropy-based ML Each paper will be reviewed by at least three experts. Accepted Papers will appear in a Volume of Springer Lecture Notes in Computer Science (LNCS) and there is also the opportunity to publish in our MAKE Journal: https://www.mdpi.com/journal/make In line with CD-MAKE we organize the 2nd workshop on explainable AI (ex-AI): https://hci-kdd.org/make-explainable-artificial-intelligence-2019 In line with the ex-AI session we have 2019 a unique opportunity for interested authors. We have an open call for papers in the Springer/Nature BMC Journal Medical Informatics and Decision Support (MIDM, SCI-Impactfactor 2.134) during the whole year, where papers can be submitted and - given acceptance - can also be presented at the conference. Vice versa, we have the opportunity that presented papers at the conference can be expanded and published into the journal: https://hci-kdd.org/special-issue-explainable-ai-medical-informatics-decision-making
Augmenting Human Intelligence with Artificial Intelligence Call for Papers - CD-MAKE 2019 3rd International IFIP Cross Domain Conference for Machine Learning & Knowledge Extraction CD-MAKE is a joint effort of IFIP TC 5, TC 12, IFIP WG 8.4, WG 8.9 and WG 12.9 and is held in conjunction with the International Conference on Availability, Reliability & Security, ARES 2018 Machine learning is the workhorse of Artificial Intelligence with enormous challenges in various application domains. It needs a concerted international effort without boundaries, supporting collaborative and integrative cross-disciplinary research between experts from diverse fields. Conference Location: University of Kent, Canterbury, UK Conference Website https://cd-make.net Submission link https://easychair.org/conferences/?conf=cdmake2019 Submission Deadline (soft deadline): April, 8, 2019 Author Notification: May, 24, 2019 Author registration before June 13, 2019 Camera Ready Deadline (hard deadline): June, 23, 2019 Conference: August, 26-29, 2019 EasyChair Submission Link https://easychair.org/conferences/?conf=cdmake2019 The goal of the CD-MAKE conference is to act as an innovative catalysator and to bring together researchers from the following seven thematic sub-areas in a cross-disciplinary manner, to stimulate fresh ideas and to encourage multi-disciplinary problem solving: - DATA - Data science (data fusion, preprocessing, mapping, knowledge representation, discovery) - LEARNING - Machine learning algorithms, contextual adaptation, explainable-AI, causal reasoning - VISUALIZATION - and visual analytics, intelligent user interfaces, human-computer interaction - PRIVACY - data protection, safety, security, ethics, acceptance and social issues of ML - NETWORK - graphical models, graph-based ML - TOPOLOGY - geometrical machine learning, topological data analysis, manifold learning - ENTROPY - time and machine learning, entropy-based ML Each paper will be reviewed by at least three experts. Accepted Papers will appear in a Volume of Springer Lecture Notes in Computer Science (LNCS) and there is also the opportunity to publish in our MAKE Journal: https://www.mdpi.com/journal/make In line with CD-MAKE we organize the 2nd workshop on explainable AI (ex-AI): https://hci-kdd.org/make-explainable-artificial-intelligence-2019 In line with the ex-AI session we have 2019 a unique opportunity for interested authors. We have an open call for papers in the Springer/Nature BMC Journal Medical Informatics and Decision Support (MIDM, SCI-Impactfactor 2.134) during the whole year, where papers can be submitted and given acceptance can also be presented at the conference. Vice versa, we have the opportunity that presented papers at the conference can be expanded and published into the journal: https://hci-kdd.org/special-issue-explainable-ai-medical-informatics-decision-making
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