MLG partners with the Brussels-Capital Region for a Modelling Traffic project
Research into novel feature selection techniques and learning algorithms applied to a variety of industrial domains.
Research into behavioral aspects of decision making via (evolutionary) game theory and simulations to better understand human behavior.
Research into scalable big data solutions for the analysis of complex (e.g. high throughput, high volume, high velocity) data from ICT and medicine
Research and development into medical and biological questions using machine learning, statistical and modelling approaches
Experimentally and theoretically analysing human - human and human - AI interactions in order to develop meaningful models.
Reducing the number of features in order to identify those that are most relevant for classification, regression etc.
learning patterns from labelled and unlabelled data using classification, regression and clustering techniques.
How to adapt to prior decisions and to anticipate future choices of agents in strategic situations.
Developing computational methods and software tools for the analysis and interpretation of biological data.
The theory of strategic decision-making in cooperative and non-cooperative situations.
Analysis and multi-step ahead forecasting of multivariate temporal data.
Development of publicly available software packages and sharing code analysis through online repositories.
Agent learning by social imitation or survival of the fittest.
The Laboratory of Translational Neuroanatomy and Neuroimaging (LN2T, https://ln2t.ulb.be/) and the Machine Learning Group (MLG, mlg.ulb.ac.be) of the Université libre de Bruxelles (ULB) are looking for a talented and motivated PhD student. Candidates are invited to apply for a fully funded PhD position that will contribute...
March 30th 2023, 12:15, room S.R42.4.502 (Solbosch) Machine learning is a powerful tool to support business decision-making. For instance, predictive models can be learned from data to anticipate the future and to make informed decisions, with the eventual objective of optimizing the efficiency and...
March the 23th, 2023 at 3:00PM, on Teams: link. In the latest years, scholars started focusing on how to develop statistical tool for the analysis of population of complex data, such as high-dimensional vector data and functions, but also more complex data objects such as...
While the promise of more knowledge makes the use of expert groups appealing, reality suggests that making good use of a larger number of experts is not so simple. Beliefs held by individuals tend to spread, which in turn makes decision-making by collectives less reliable....
Elias Fernandez and co-authors were awarded the best poster award at the AAAI 2021 conference workshop on AI for Behavior Change. The poster was titled Delegation to autonomous agents promotes cooperation on collective-risk dilemmas. You can find the abstract below. This research is a collaboration...
Axel Abels and Tom Lenaerts were, together with their collaborators, awarded with the Best Paper award at the International Computational Collective Intelligence (ICCCI) for the paper entitled “How expert confidence can improve collective decision-making in contextual multi-armed bandit problems. Below the abstract of the paper....
NESTA UK reporting on the behavioural experiments we performed in collaboration with the VUB AI lab and Francisco C. Santos team in INESC-ID in Lisbon. Want to know more? Follow this link to get information and download the full report We tested whether using AI...
Title: “Dealing with noisy phenotypes to build more robust predictors of drug response in cancer”By: Dr. Benjamin Haibe-KainsWhen: Tuesday 10th December, at 15.00Where: Université libre de Bruxelles, Campus de la Plaine (http://www.ulb.ac.be/campus/plaine/plan.html), NO Building, 8th Floor, NO8.08, Rotule room (http://www.ulb.ac.be/campus/plaine/plan-NO.html), ...
This year’s Benelux AI (BNAIC)and Machine Learning (Benelearn) conferences will be organised in Brussels. The conferences are hosted by the ULB Machine Learning Group and the AI lab of the VUB. More information can bound on the website http://ai-synergies.be/
The Flemish news site VRT nieuws and the French news paper L’Echo are reporting on the excellent work of the oligogenic team. Congratulations! L’Echo: À Bruxelles, les maladies rares sont pistées grâce à l’intelligence artificiellehttps://www.lecho.be/r/t/1/id/10133875 VRT Nieuws : VUB en ULB ontwikkelen AI-methode om genetische...
https://actus.ulb.be/fr/actus/recherche/l-intelligence-artificielle-pour-identifier-les-maladies-rares
The call for papers for the Benelux conferences on Artificial Intelligence are launched. More information can be found on http://bnaic19.brussels and http://benelearn19.brussels
We are looking for a PhD student for the FWO funded project DELICIOS. The research will be performed with the groups of Prof. Pieter Simoens (UG – IDlab), Prof. Jo Pierson (VUB – SMIT) and Prof. Tom Lenaerts (VUB/ULB – AI lab/MLG). This works builds...
Congratulations to Axel Abels for having his paper entitled “Dynamic Weights in Multi-Objective Deep Reinforcement Learning”, accepted for presentation and for publication in the conference proceedings at ICML 2019!!
Today a coalition of academic, public and private sector specialists launched the Belgian strategy for AI, originally called AI4Belgium. All information concerning the recommendations from this panel can be found on the coalition website. Summary of recommendations of the AI 4 Belgium Coalition: We have...
When and where: March 29th at 3PM, room: ForumC, Campus La Plaine Abstract Nowadays, there are applications in which the data are modelled best not as persistent tables, but rather as transient data streams. In this keynote, we discuss the limitations of current machine learning...
Applications are invited for full-time post-doctoral (3 years) research position at the Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium. https://euraxess.ec.europa.eu/jobs/211909
A MLG team (G. Bontempi, Y. Le Borgne, J. De Stefani) was awarded (Honorable Mention Research Paper) in Tokyo at the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA ’17) for the paper entitled “A Dynamic Factor Machine Learning Method for...
MLG takes part to the new ULB Specialized Master in Data Science and Big Data https://www.ulb.ac.be/programme/en/MS-BGDA/index.html. Details on content and program can be found on http://www.ulb.ac.be/di/map/gbonte/ftp/BDMaster.pdf
Applications are invited for full-time post-doctoral (3 years) research position at the Machine Learning Group, Computer Science Department, Université Libre de Bruxelles, Belgium. https://euraxess.ec.europa.eu/jobs/211909