[BBC] Benelearn 2016: last call for abstracts (with deadline extension)

[Yvan Saeys]

LAST CALL FOR ABSTRACTS: BENELEARN 2016

September 12-13, 2016. Kortrijk, Belgium
http://www.kuleuven-kulak.be/benelearn/

Benelearn is the annual machine learning conference of Belgium and The Netherlands. It serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications. The 25th edition will be co-organised by KU Leuven, UGent and the Flemish Supercomputer Centre, in cooperation with the Dutch Research School for Information and Knowledge Systems (SIKS), at the Katholieke Universiteit Leuven, Campus Kortrijk (KULAK).

In contrast to previous editions, the anniversary edition of Benelearn will be organised on two days, where the first day will feature a workshop on Big Data, including keynote speakers, a tutorial session, corporate presentations, and ample opportunity for networking.


KEYNOTE SPEAKERS:

The following keynote speakers have agreed to speak at the conference:

Jeff Ullman (Stanford University)
Christian Blum (University of the Basque Country)
Greg Tsoumakas (Aristotle University of Thessaloniki)
Kristian Kersting (TU Dortmund)
Emilia Barakova (Technische Universiteit Eindhoven)
Hugo Ceulemans (Janssen R&D)
Luc De Raedt (KU Leuven)
Isaac Triguero (UGent / University of Nottingham)


SUBMISSIONS:

The conference solicits abstract contributions (2 pages max.) of original work or work that was recently accepted or published in a peer-reviewed machine-learning journal or at a high level international conference. In the latter case, the publication reference should be clearly mentioned, and the abstracts will be checked mainly for relevance, rather than receive a full review.

The program committee will decide which contributions are selected for an oral presentation, and which ones are presented during a poster session (with spotlight presentations). Submissions related to Big Data analysis will preferably be presented on the thematic day.

All accepted contributions will be published on the Benelearn website, but no copyright will be claimed. For submission instructions, please refer to http://www.kuleuven-kulak.be/benelearn/.


SCOPE:

Although we particularly encourage submissions related to learning from Big Data, submissions from all topics of interest within machine learning are welcome (non-exhaustive list):

Kernel Methods
Bayesian Learning
Case-based Learning
Causal Learning
Ensemble Methods
Computational Learning Theory
Data Mining
Evolutionary Computation
Inductive Logic Programming
Knowledge Discovery in Databases
Online Learning
Learning in Multi-Agent Systems
Neural Networks
Deep Learning
Reinforcement Learning
Robot Learning
Feature Selection and Dimensionality Reduction
Scientific Discovery
Transfer Learning
Statistical Learning
Ranking / Preference Learning / Information Retrieval
Computational models of Human Learning
Structured Output Learning
Learning for Language and Speech
Media Mining and Text Analytics
Learning and Ubiquitous Computing
Applications of Machine Learning
Learning from Big Data


KEY DATES:

Submission deadline (extended): June 7, 2016.
Notification of acceptance: July 1, 2016.
Conference: September 12-13, 2016.

Organizing committee:

Celine Vens (KU Leuven)
Patrick De Causmaecker (KU Leuven)
Yvan Saeys (UGent)
Ewald Pauwels (VSC)