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.
The topics of the workshop include, but are not limited to:
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
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.
NEW Full paper submission due: April 22, 2014 May 10th, 2014
NEW Notification of acceptance: May 22, 2014 June 14th, 2014
NEW Camera-ready submission: June 2, 2014 June 21st, 2014
NEW Early registration: June 17, 2014 June 29th, 2014
Vladimir Vapnik (NEC, USA, and Royal Holloway, University of London, UK)
Alexei Chervonenkis (Russian Academy of Sciences, Russia, and Royal Holloway, University of London, UK)
Harris Papadopoulos (Frederick University, Cyprus) h.papadopoulos@frederick.ac.cy
Alex Gammerman (Royal Holloway, University of London, UK) alex@cs.rhul.ac.uk
Vladimir Vovk (Royal Holloway, University of London, UK) vovk@cs.rhul.ac.uk
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 EURATOM/CIEMAT para Fusion, Spain)
Larry Wasserman (Carnegie Mellon University, USA)
Fan Yang (Xiamen University, China)