Calls for Papers

I am/have been involved as chair/editor/organiser in several calls for papers for conference special session and journal special issues, described on this page.

Special Session on “Information Visualisation and Machine Learning: Techniques, Validation and Integration” at ESANN 2016

esannEuropean Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016). 27-29 April 2016, Bruges, Belgium – http://www.esann.org

DESCRIPTION:

This special session aims at exploring how information visualisation (infovis) techniques can help researchers and practitioners in machine learning.  Example issues that are welcome in this session entail the validation of results of visualisation techniques from machine learning, the use of interactive techniques to help exploration of data, how machine learning techniques can help improve information visualisation, integrated visualisation and mining (VM), etc.  Experimental use cases are welcome.

This special session aims to provide practitioners from both communities a common forum of discussion where issues at the crossroads of machine learning and information visualisation could be discussed, in the wake of discussions such as [1, 2].

[1]  Enrico Bertini and Denis Lalanne.  Surveying the complementary role of automatic data analysis and visualization in knowledge discovery. In Proc. VAKD, 2009, 12-20.
[2] Keim, Daniel A., Florian Mansmann, and Jim Thomas. Visual analytics: how much visualization and how much analytics ?  ACM SIGKDD Explor. Newsl. 11.2, 2010, 5-8.

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 : 27 November 2015
Notification of acceptance : 31 January 2016
The ESANN 2014 conference : 27-29 April 2016

SPECIAL SESSION ORGANISERS:

Prof. Benoît Frénay
Université de Namur, Belgium
E-mail: benoit.frenay@unamur.be
Website: https://bfrenay.wordpress.com
Phone: +32 81 72 49 76

Prof. Bruno Dumas
Université de Namur, Belgium
E-mail: bruno.dumas@unamur.be
Website: http://directory.unamur.be/staff/bdumas
Phone: +32 81 72 49 75

Annual machine learning conference of Belgium and the Netherlands

See the website of the 23rd BENELEARN  for the details on the event.

Special Issue in Neurocomputing on “Advances in Learning with Label Noise”

505628The special issue (see Editorial here) is available online.

Special Session on “Label noise in Classification” at ESANN 2014

esannEuropean 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@uclouvain.be
Website: https://bfrenay.wordpress.com
Phone: +32 10 478133

Dr. Ata Kaban
University of Birmingham, United Kingdom
E-mail: A.Kaban@cs.bham.ac.uk
Website: http://www.cs.bham.ac.uk/~axk
Phone: +44 121 41 42792