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)
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