[ please distribute - apologies for multiple postings ]
****The paper submission deadline has been extended to May 15th****
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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/
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*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 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 Nouretdinov, Royal Holloway University of London, UK
Klea Panayidou, Frederick University, Cyprus
Savvas Pericleous, Frederick University, Cyprus
Frank-Michael Schleif, Bielefeld University, Germany
David Surkov, Egham Capital, UK
Jesus Vega, Asociacion EURATOM/CIEMAT para Fusion, Spain
Larry Wasserman, Carnegie Mellon University, USA
Fan Yang, Xiamen University, China
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