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[ 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 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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