MLG partners with the Brussels-Capital Region for a Modelling Traffic project
December 9, 2024
Who are we ?
The Machine Learning Group (MLG), founded in 2004 by G. Bontempi, is a research unit of the Computer Science Department of the ULB (Université Libre de Bruxelles, Brussels, Belgium), Faculty of Sciences, currently co-headed by Prof. Gianluca Bontempi and Prof. Tom Lenaerts.
MLG targets machine learning and behavioral intelligence research focusing on time series analysis, big data mining, causal inference, network inference, decision-making models and behavioral analysis with applications in data science, medicine, molecular biology, cybersecurity and social dynamics related to cooperation, emotions and others.
Our skills
We harness every aspect of machine learning, artificial intelligence and computer science research to bring breakthrough support in domains such as geographical data mining, fraud detection, big (real)data analysis, intelligent decision-making, behavioral (economic, social and political) studies, complex systems analysis and computational biology/bioinformatics — gene expression and cancer detection, computer-aided medicine and theoretical research.
Behaviorial intelligence
Experimentally and theoretically analysing human - human and human - AI interactions in order to develop meaningful models.
Feature selection
Reducing the number of features in order to identify those that are most relevant for classification, regression etc.
Supervised and unsupervised learning
learning patterns from labelled and unlabelled data using classification, regression and clustering techniques.
Intelligent decision making
How to adapt to prior decisions and to anticipate future choices of agents in strategic situations.
Computational Biology and Bioinformatics
Developing computational methods and software tools for the analysis and interpretation of biological data.
Game theory
The theory of strategic decision-making in cooperative and non-cooperative situations.
Time Series Analysis
Analysis and multi-step ahead forecasting of multivariate temporal data.
Open source software
Development of publicly available software packages and sharing code analysis through online repositories.
Evolutionary dynamics
Agent learning by social imitation or survival of the fittest.
Our projects
From wireless sensor networks to molecular signatures in human cancers, discover our ongoing and completed projects.
- All
- Behavioural Intelligence
- Big Data
- Finished project
- Intelligent Transportation Systems
- Machine Learning
MACHU-PICCHU: Machine Learning for Predictive and Causal modelling of Churn
Big Data, Machine LearningTRAIL – ARIAC Project
Big Data, Machine LearningData Engineering for Data Science (DEDS)
Big Data, Machine LearningFARI – Artificial Intelligence for the Common Good Institute
Machine LearningTraffic processing for Urban Environments (TORRES)
Big Data, Intelligent Transportation Systems, Machine LearningOur partners
Publications
2020
How Expert Confidence Can Improve Collective Decision-Making in Contextual Multi-Armed Bandit Problems Proceedings Article
In: Computational Collective Intelligence: LNAI 12496, pp. 125-138, 2020, (Conference: International Conference on Computational Collective Intelligence(12: 2020: Da Nang, Vietnam)).
EEG-based brain-computer interface for alpha speed control of a small robot using the MUSE headband Proceedings Article
In: 2020, (DOI: 10.1109/IJCNN48605.2020.9207486).
Retinal endothelial cell phenotypic modifications during experimental autoimmune uveitis: A transcriptomic approach Journal Article
In: BMC ophthalmology, vol. 20, no. 1, 2020, (DOI: 10.1186/s12886-020-1333-5).
Towards a Phylogenetic Measure to Quantify HIV Incidence Book Chapter
In: vol. 1196, pp. 34-50, Springer International Publishing, 2020, (DOI: 10.1007/978-3-030-65154-1_3).
Statistical biophysics of hematopoiesis and growing cell populations PhD Thesis
2020, (Funder: Universite Libre de Bruxelles).
Latest news
Keep up-to-date with our latest activities and join us on Facebook.
PhD position on machine learning for epilepsy detection in ULB, Brussels, Belgium
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...
April 30, 2024
“Causal Machine Learning for Business Decision-Making” by dr. Wouter Verbeke
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 14, 2023
Seminar: “Conformal Prediction & Complex Data Analytics” by Dr. Matteo Fontana
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...
March 14, 2023
MLG Researchers Launch “Be The Expert”, an experiment on human decision-making
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....
May 24, 2022
MLG/AI-lab researcher obtains best poster award AI for behaviour change workshop
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...
February 10, 2021
MLG researchers obtain Best Paper Award at ICCCI 2020
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....
December 2, 2020
Combining people and machines
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...
June 18, 2020
Seminar on Dec 10th, 2019, 3:00 PM – MLG hosting Dr. Benjamin Haibe-Kains from Princess Margaret Cancer Centre, University Health Network talking about “Dealing with noisy phenotypes to build more robust predictors of drug response in cancer”.
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), ...
November 27, 2019
MLG co-organizes AI Synergies
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/
September 12, 2019
MLG and (IB)2 in VRT Nieuws and L’echo
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...
June 6, 2019
MLG and (IB)2 in ULB Actua
https://actus.ulb.be/fr/actus/recherche/l-intelligence-artificielle-pour-identifier-les-maladies-rares
June 5, 2019
Call for papers BNAIC/BENELRARN
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
May 17, 2019
Looking for a PhD!
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...
May 17, 2019
New MLG publication at the International Conference on Machine Learning (ICML) 2019
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!!
April 23, 2019
AI4Belgium Launched today
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...
March 18, 2019
Seminar ‘Real-Time Data Mining’ from João Gama, INESC TEC (University of Porto)
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...
March 14, 2019
Postdoc in Data Science/Deep Learning/Big Data Mining for fraud detection
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
October 19, 2018
DSAA’17 award for a MLG paper on forecasting
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...
October 19, 2018
MLG part of new ULB Master in Data Science and Big Data
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
October 19, 2018
Postdoc in Data Science/Big Data Mining for predictive data analysis
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
October 19, 2018