Connectionists: Special session on "Label noise in classification" at ESANN 2014

[Benoît Frénay]

[Apologies if you receive multiple copies of this CFP]

*Call for papers:  special session on "***Label noise in 
classification*" at **ESANN 2014*

European Symposium on Artificial Neural Networks, Computational 
Intelligence and
Machine Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium - 
http://www.esann.org


*DESCRIPTION*:

In classification, it is difficult to obtain completely reliable 
labels.  Indeed, labels are often polluted by label noise, due to e.g. 
insufficient information or expert mistakes.  Many works have tackled 
the problem of learning in the presence of label noise. Filtering 
methods have been developed to detect and remove mislabelled instances.  
Also, recent approaches attempt to take label noise into account while 
learning, using e.g. probabilistic models of label noise or prior 
knowledge about the influence of label noise on specific methods.  Other 
settings like e.g. semi-supervised learning have also been studied.

This special session aims to provide a forum where researchers could 
discuss the most recent developments in the field of label noise. 
Contributions should propose new methods to deal with label noise, new 
applications where label noise must be taken into account, theoretical 
results about learning in the presence of label noise or experimental 
results which provide insight about existing methods.

Examples of topics of interest include (but are not limited to) the 
following:

  * when are noisy labels better than no labels at all?
  * what makes a classifier robust to label noise?
  * dealing with different types of label noise (random, non-random,
    malicious, or adversarial)
  * conditions for the consistency of classification in the presence of
    label noise
  * label noise in high dimensional small sample settings
  * the issue of model order selection in the presence of label noise
  * feature selection and dimensionality reduction in the presence of
    label noise
  * label-noise aware classification algorithms in static and dynamic
    scenarios
  * learning with side information to counter label noise

*

SUBMISSION:
*
Prospective authors must submit their paper through the ESANN portal 
following the instructions provided in 
http://www.elen.ucl.ac.be/esann/index.php?pg=submission. Each paper will 
undergo a peer reviewing process for its acceptance.  Authors should 
send as soon as possible an e-mail with the tentative title of their 
contribution to the special session organisers.*


IMPORTANT DATES**:*

Paper submission deadline : 29 November 2013
Notification of acceptance : 31 January 2014
The ESANN 2014 conference : 23-25 April 2014
*

SPECIAL SESSION ORGANISERS**:*

Dr. Benoît Frénay
Université catholique de Louvain, Belgium
E-mail: benoit.frenay at uclouvain.be
Phone: +32 10 478133

Dr. Ata Kaban
University of Birmingham, United Kingdom
E-mail: A.Kaban at cs.bham.ac.uk
Phone: +44 121 41 42792
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