Benelearn 2019 Call for papers

This year, the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) is organized jointly by the Université Libre de Bruxelles and the Vrije Universiteit Brussel, under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS)..

Benelearn 2019 will be held at Ateliers Des Tanneurs, Brussels, Belgium, co-located with BNAIC 2019, as a three-day event: from Wednesday 6 to Friday 8 November, 2019. Benelearn 2019 will include invited speakers, research presentations, posters and demonstrations.

This year, for the first time Benelearn/BNAIC will be a three-day event. The first day will be focussed on AI and machine learning for businesses; the last two days are focussed on academia. The first two days will provide ample opportunity for interaction between academics and businesses: academics are also encouraged to join the business sessions, and vice versa; there will be matchmaking events and on the evening of the November 6th, there will be a joint surprise event (details to be announced soon).


Researchers are invited to submit unpublished original research on all
aspects of Machine Learning. Additionally, high-quality research results already published at international ML conferences or in ML journals are also welcome. Four types of submissions are invited:

Type A: Regular papers
Papers presenting original work that advances Machine Learning. In addition to papers on original work, position and review papers are also welcomed. These contributions should address a well-developed body of research, an important new area, or a promising new topic, and provide a big picture view. Type A-papers can be long or short. Long papers should be 10-15 pages, short papers 6-10 pages. Contributions will be reviewed on overall quality and relevance.

Type B: Compressed contributions
Abstracts of already published work. Papers that have been accepted after June 1, 2018 for ML-related refereed conferences or journals can be resubmitted and will be accepted as compressed contributions. Authors are invited to submit the officially published version (without page restriction) together with a 2-page abstract. Authors may submit at most one type B-paper of which they are the corresponding author.

Type C: Demonstrations
Demonstration abstracts. Proposals for demonstration should be submitted as a 2-page abstract together with a short video illustrating the working of the system (not exceeding 15 minutes). Demonstrations will be evaluated based on their originality and innovative character, the technology deployed, the purpose of the systems in interaction with users and/or other systems, and their economic and/or societal potential. Any system requirements should also be mentioned.

Type D: Thesis abstracts
Abstracts of graduation reports. Bachelor and Master students are invited to submit a 2-page abstract of their completed ML-related thesis. Supervisors should be listed. The thesis should be accepted after June 1, 2018. Type D-papers will be judged on relevance for the conference and originality.


Type A, B, and D papers can be accepted for either oral or poster
presentation. The poster sessions will be guided, meaning that a session chair will guide a tour of all posters on a given topic with a group of people interested in that topic. The chair will ensure that a correct amount of time is spent at each poster, thereby bringing more exposure and
interaction to the posters in comparison with a traditional “open”
poster session.


Just like last years, there will be prizes for the best type A paper
(regular paper), the best demonstration, and the best type D paper (thesis abstract). Additionally, this year, there will also be a prize for the best poster.

PREPROCEEDINGS & POSTPROCEEDINGS Accepted contributions within all four categories will be included in the online conference proceedings (hosted on Ceur). All contributions should be written in English, using the Springer CCIS/LNCS format (see ) and submitted electronically via EasyChair:

Submission implies willingness of at least one author to register for Benelearn 2019 and present the paper. For each paper, a separate author registration is required. We are aiming to continue the collaboration with Springer (that started in 2016) to produce postproceedings containing selected type A papers in their CCIS series (


Paper submission deadline: August 30, 2019 DEADLINE EXTENDED to September 10th!
Author notification: September 30, 2019
Camera ready submission deadline: October 20, 2019
Conference: November 6-8, 2019

All deadlines are AoE time zone.


A non-exhaustive list of topics includes:

Neural Networks
Reinforcement learning
Representation learning
Statistical Learning
Bayesian Learning
Causal Learning
Structured Output Learning
Online Learning
ML in non-stationary environments
Transfer and adversarial Learning
Learning in Multi-Agent Systems
Robot Learning
Computational Learning Theory
ML and information theory
ML with expert-in-the-loop
Visual analytics and ML
Computational models of Human Learning
Evaluation frameworks
ML for scientific discovery
Social network
Deep learning
Data Mining
Predictive modeling
Ensemble Methods
Kernel Methods
Case-based Learning
Evolutionary Computation
Inductive Logic Programming
Knowledge Discovery in Databases
Pattern mining
Feature Selection and Dimensionality Reduction
Ranking / Preference Learning / Information Retrieval
Learning for Language and Speech
Media Mining and Text Analytics
Learning and Ubiquitous Computing
Learning from Big Data
ML applications in industry