21st European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
Bruges (Belgium) – April 24-25-26, 2013
Call for papers and special sessions
Deadline for submission of papers:
30 November 2012
Machine learning, artificial neural networks, computational intelligence and related topics (see below for a more detailed description of the conference topics).
(see http://www.esann.org/ for abstracts):
1) Machine Learning Methods for Processing and Analysis of Hyperspectral Data
Andreas Backhaus (a), Marika Kästner (b), Udo Seiffert (a), Thomas Villmann (b), (a) Fraunhofer IFF Magdeburg, (b) Univ. of Applied Sciences Mittweida (Germany)
2) Developments in kernel design
Lluís A. Belanche , Universitat Politècnica de Catalunya (Spain)
3) Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments
Jorge Luis Reyes-Ortiz (a,b), Alessandro Ghio (a), Xavier Parra-Llanas (b), Davide Anguita (a), Joan Cabestany (b), Andreu Català (b), (a) University of Genoa (Italy), (b) Universitat Politècnica de Catalunya (Spain)
4) Missing Data in Machine Learning and Statistical Learning
Christophe Biernacki , Vincent Vandewalle , INRIA (France), Yoan Miche , Emil Eirola , Aalto University (Finland), Amaury Lendasse , Ikerbasque (Spain), Eric Severin , University of Lille I (France)
5) Machine Learning for multimedia applications
David Picard , ETIS – ENSEA, Philippe-Henri Gosselin , INRIA Rennes (France)
6) Sparsity for interpretation and visualization in inference models
Vanya Van Belle, (a,b), Paulo Lisboa, (b), (a) Katholieke Universiteit Leuven (Belgium), (b) Liverpool John Moores University (UK)
Scope and topics
Since its first happening in 1993, the European Symposium on Artificial Neural Networks has become the reference for researchers on fundamentals and theoretical aspects of artificial neural networks, computational intelligence, machine learning and related topics. Each year, around 100 specialists attend ESANN, in order to present their latest results and comprehensive surveys, and to discuss the future developments in this field.
The ESANN 2013 conference will follow this tradition, while adapting its scope to the recent developments in the field. The ESANN conferences cover artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered.
The following is a non-exhaustive list of machine learning, computational intelligence and artificial neural networks topics covered during the ESANN conferences:
THEORY and MODELS
Statistical and mathematical aspects of learning
Graphical models, EM and Bayesian learning
Vector quantization and self-organizing maps
Recurrent networks and dynamical systems
Blind signal processing
Nonlinear projection and data visualization
Fuzzy neural networks
INFORMATION PROCESSING and APPLICATIONS
Signal processing and modeling
Approximation and identification
Classification and clustering
Feature extraction and dimension reduction
Time series forecasting
Multimodal interfaces and multichannel processing
Vision and sensory systems
Papers will be presented orally (single track) and in poster sessions; all posters will be complemented by a short oral presentation during a plenary session. It is important to mention that the topics of a paper decide if it better fits into an oral or a poster session, not its quality. The selection of posters will be identical to oral presentations, and both will be printed in the same way in the proceedings. Nevertheless, authors must indicate their preference for oral or poster presentation when submitting their paper.
The conference will be held in Bruges (also called “Venice of the North”), one of the most beautiful medieval towns in Europe. Bruges can be reached by train from Brussels in less than one hour (frequent trains). The town of Bruges is world-wide known, and famous for its architectural style, its canals, and its pleasant atmosphere.
The conference will be organized in a hotel located near the centre (walking distance) of the town. There is no obligation for the participants to stay in this hotel. Hotels of all levels of comfort and price are available in Bruges; there is a possibility to book a room in the hotel of the conference at a preferential rate through the conference secretariat. A list of other smaller hotels is also available.
The conference will be held at the Novotel hotel, Katelijnestraat 65B, 8000 Brugge, Belgium.
Proceedings and journal special issue
The proceedings will include all communications presented to the conference (tutorials, oral and posters), and will be available on-site. Extended versions of selected papers will be published in the Neurocomputing journal (Elsevier).
Call for contributions
Prospective authors are invited to submit their contributions before November 30, 2012. The electronic submission procedure is described on the ESANN website http://www.esann.org/.
Authors must also commit themselves that they will register to the conference and present the paper in case of acceptation of their submission (one paper per registrant). Authors of accepted papers will have to register before February 28, 2013; they will benefit from the advance registration fee. The ESANN conference applies a strict policy about the presentation of accepted papers during the conference: authors of accepted papers who do not show up at the conference will be blacklisted for future ESANN conferences, and the lists will be communicated to other conference organizers.
Submission of papers 30 November 2012
Notification of acceptance 1 February 2013
ESANN conference 24-26 April 2013
ESANN – European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
* For submissions of papers, reviews, registrations:
Univ. Cath. de Louvain – Machine Learning Group
3, pl. du Levant – B-1348 Louvain-la-Neuve – Belgium
tel: +32 10 47 25 51 – fax: + 32 10 47 25 98
* Conference secretariat
d-side conference services
24 av. L. Mommaerts – B-1140 Evere – Belgium
tel: + 32 2 730 06 11 – fax: + 32 2 730 06 00