This year, the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020) are organized as a joint conference by Leiden University, under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS).

BNAIC/BENELEARN 2020 will be held at CORPUS, Leiden, the Netherlands, as a two-day event: from Thursday 19 to Friday 20 November, 2020. BNAIC/ BENELEARN 2020 will include invited speakers, research presentations, posters and demonstrations. The two-day conference will provide ample opportunity for interaction between academics and businesses: academics are also encouraged to join the business sessions, and vice versa. We are monitoring the situation of the Corona Crisis. According to the current plans shared by the government, the conference can take place in physical format. We aim to also stream some activities, to accommodate those who cannot join in person.

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Researchers are invited to submit unpublished original research on all aspects of Artificial Intelligence and Machine Learning.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

Type A: Regular papers
Papers presenting original work that advances Artificial Intelligence and 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, 2019 for AI/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 AI/ML-related thesis. Supervisors should be listed. The thesis should be accepted after June 1, 2019. Type D papers will be judged on relevance for the conference and originality.

PRESENTATION
Type A, B, and D papers can be accepted for either oral or poster presentation.

PRIZES
Just like last years, there will be prizes for the best type A paper (regular paper), the best demonstration, the best type D paper (thesis abstract) and 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 http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) and submitted electronically via EasyChair: https://easychair.org/conferences/?conf=bnaicbenelearn2020

Submission implies willingness of at least one author to register for BNAIC/BENELEARN 2020 and present the paper. For each paper, a separate author registration is required.

Selected Type A long papers will be invited to submit to the postproceedings published in Springer’s CCIS series (http://www.springer.com/series/7899).

IMPORTANT DATES
Paper submission deadline: August 28, 2020
Author notification: October 5, 2020
Camera ready submission deadline: October 26, 2020
All deadlines are at 23:59, AoE time zone.

Conference: November 19-20, 2020

TOPICS OF INTEREST
A non-exhaustive list of topics includes:

Automated Machine Learning and meta-learning
Bayesian Learning
Case-based Learning
Causal Learning
Clustering
Computational Learning Theory
Computational Models of Human Learning
Data Mining
Deep Learning
Ensemble Methods
Evaluation Frameworks
Evolutionary Computation
Feature Selection and Dimensionality Reduction
Inductive Logic Programming
Kernel Methods
Knowledge Discovery in Databases
Learning and Ubiquitous Computing
Learning for Language and Speech
Learning from Big Data
Learning in Multi-Agent Systems
Media Mining and Text Analytics
ML and Information Theory
ML Applications in Industry
ML for Scientific Discovery
ML in Non-stationary Environments
ML with Expert-in-the-loop
Neural Networks
Online Learning
Pattern Mining
Predictive Modeling
Ranking / Preference Learning / Information Retrieval
Reinforcement Learning
Representation Learning
Robot Learning
Social Networks
Statistical Learning
Structured Output Learning
Transfer and Adversarial Learning
Visual Analytics and ML