[BBC] Benelearn 2016: final call for participation

[Yvan Saeys]

FINAL CALL FOR PARTICIPATION: 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 is 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).


PROGRAM:

This anniversary edition of Benelearn is organised on two days, where the first day focuses on large scale data analysis.

The program consists of 8 invited talks, 8 selected talks, 16 short talks and around 50 posters. In order to stimulate discussion among PhD students / postdocs and the invited speakers, we will have a meet-the-speaker session. Furthermore, the conference dinner and lunch breaks will provide ample opportunity for networking. Finally, a job board will be available for the participants where perhaps you will find your next job in industry or academia!

The full program is available at the conference website:http://www.kuleuven-kulak.be/benelearn/.

List of invited speakers:

Jeff Ullman (Stanford University): A Complexity Theory for MapReduce Algorithms
Isaac Triguero (UGent / University of Nottingham): Big Data Learning in Practice
Hugo Ceulemans (Janssen R&D): Predicting the activity of chemical compounds across 1001 biological assays at industrial scale
Kristian Kersting (TU Dortmund): To be announced
Greg Tsoumakas (Aristotle University of Thessaloniki): Multi-Target prediction: Challenges and applications
Emilia Barakova (Technische Universiteit Eindhoven): Learning robots for autism therapy
Christian Blum (University of the Basque Country): Combining metaheuristics with ILP solvers: Construct, Merge, Solve & Adapt
Luc De Raedt (KU Leuven): On the history and future of machine learning: a personal interpretation and perspective


REGISTRATION:

Registration can be done through the conference website:http://www.kuleuven-kulak.be/benelearn/.
Registration is possible up to and including Sunday 4 September.

  

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Prof. dr. Yvan Saeys
VIB Group Leader Data mining and modeling for biomedicine

Inflammation Research Center, a VIB-UGent Department
UGent Department of Internal Medicine, Respiratory Medicine (GE01)
Technologiepark 927 , B-9052 Zwijnaarde , Belgium

Tel : +32(0)9 331 37 40 Fax : +32(0)9 221 76 73
Mailto: yvan.saeys at ugent.be   http://www.dambi.ugent.be
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