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 projects

From wireless sensor networks to molecular signatures in human cancers, discover our ongoing and completed projects.

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.

Show skills
Supervised and unsupervised learning

learning patterns from labelled and unlabelled data using classification, regression and clustering techniques.

Feature selection

Reducing the number of features in order to identify those that are most relevant for classification, regression etc.

Behaviorial intelligence

Experimentally and theoretically analysing human - human and human - AI interactions in order to develop meaningful models.

Game theory

The theory of strategic decision-making in cooperative and non-cooperative situations.

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.

Evolutionary dynamics

Agent learning by social imitation or survival of the fittest.

Open source software

Development of publicly available software packages and sharing code analysis through online repositories.

Time Series Analysis

Analysis and multi-step ahead forecasting of multivariate temporal data.

Our partners

KU Leuven
VUB
ULB
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Latest news

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Publications

15 entries « 1 of 3 »

2020

Jansen, Maarten

Density estimation using multiscale local polynomial transforms Book Chapter

In: Springer, 2020, (Language of publication: fr).

Links | BibTeX

Marquis, Bastien; Jansen, Maarten

Correction for optimisation bias in structured sparse high-dimensional variable selection Book Chapter

In: Springer, 2020, (Language of publication: fr).

Links | BibTeX

Rocha, Luis Mateus; Singh, Vikramjit; Esch, Markus; Lenaerts, Tom; Liljeros, Fredrik; Thorson, Anna

Dynamic contact networks of patients and MRSA spread in hospitals Journal Article

In: Scientific reports, 10 (1), 2020, (DOI: 10.1038/s41598-020-66270-9).

Links | BibTeX

Colaprico, Antonio; Olsen, Catharina; Bailey, Matthew; Odom, Gabriel G J; Terkelsen, Thilde; Silva, Tiago Chedraoui; Olsen, André Vidas; Cantini, Laura; Zinovyev, Andrey; Barillot, Emmanuel; Noushmehr, Houtan; Bertoli, Gloria; Castiglioni, Isabella; Cava, Claudia; Bontempi, Gianluca; Chen, Xi Steven; Papaleo, Elena

Interpreting pathways to discover cancer driver genes with Moonlight Journal Article

In: Nature communications, 11 (1), 2020, (DOI: 10.1038/s41467-019-13803-0).

Links | BibTeX

Caro, Fabrizio De; Stefani, Jacopo De; Bontempi, Gianluca; Vaccaro, Alfredo A; Villacci, Domenico D

Robust Assessment of Short-Term Wind Power Forecasting Models on Multiple Time Horizons Journal Article

In: Technology and Economics of Smart Grids and Sustainable Energy, 5 (1), 2020, (DOI: 10.1007/s40866-020-00090-8).

Links | BibTeX

15 entries « 1 of 3 »