BeNeLearn is the annual machine learning conference of the Benelux. 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 26th edition is hosted by the Data Mining group of Eindhoven University of Technology (TU/e) under the auspices of the Dutch Research School for Information and Knowledge Systems (SIKS) and Data Science Center Eindhoven (DSC/e). Benelearn 2017 is organised as a two-day event on 9-10 June 2017 at TU/e campus.
CONFIRMED INVITED SPEAKERS
SPOTLIGHT PRESENTATION ANNOUNCEMENT
If you have a poster presentation but no oral presentation in the conference, you are entitled to give a 2-minute spotlight presentation. If you want to display slides during your spotlight presentation, please send them strictly before June 10 via email to firstname.lastname@example.org, in PDF format.
The full programme of Benelearn 2017 can be downloaded as PDF via this link.
The Benelearn 2017 Proceedings can be downloaded as a single PDF file via this link.
The conference booklet, with abstract and all kinds of practical information, can be downloaded as PDF via this link.
CALL FOR PAPERS AND PARTICIPATION
CONFERENCE FORMAT AND TOPICS OF INTEREST
The program will feature original, unpublished work, early work in progress as well as recently published work. This way we want to provide an attractive program and make it easy to attend the conference by both senior and junior researchers.
Besides regular sessions consisting of presentations of selected peer-reviewed papers, the programme will feature invited talks, a poster session and a panel discussion in the closing session. We will lead an open discussion, in a workshop spirit, aimed to foresee the future of Machine Learning and data mining in general and to identify immediate opportunities for collaboration for researchers in Belgium and the Netherlands.
A non-exhaustive list of topics includes:
SPECIAL TRACKSAs part of the main program, we organize three special tracks:
The conference solicits regular contributions (5-10 pages) of original work and extended abstracts (2 pages max.) of original work or work that was recently accepted or published in a peer-reviewed machine-learning, data mining or other relevant journal or high level international conference. In the latter case, the publication reference should be clearly mentioned, and the abstracts should be checked mainly for relevance, rather than receive a full review.
We explicitly invite different kinds of contributions, including technical contributions, visionary papers, case studies, demos, benchmark real and synthetic datasets.
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). Preference of authors will be taken into account as well. If your submission falls under one of the special tracks, we encourage you to submit it there.
All submissions must be in English and must be submitted as PDF files through the EasyChair submission page.
Submissions should be formatted using the Benelearn 2017 LaTeX template. For detailed formatting instructions, please refer to the template files. The maximum abstract length is 2 pages (references not included).
All accepted contributions will be published in the conference proceedings and publicly available on the Benelearn website, but no copyright will be claimed.
PROGRAMME COMMITTEEbeing invited
LOCAL ORGANIZATIONRiet van Buul
CONFERENCE VENUEThe Benelearn 2017 conference is held at the Eindhoven University of Technology, De Zwarte Doos Building on Friday and the Auditorium Building on Saturday (you can check campus map for the details).
Eindhoven is easy to reach from Benelux and Europe. Basic directions and the map of the campus can be found here.
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If you want to increase the visibility of your company during the Benelearn 2017 conference, have a look at our sponsorship opportunities.