Modèle probabiliste pour l'extraction de structures dans les documents semistructurés - Application aux documents Web. - Guillaume Wisniewski; Ludovic Denoyer; Francis Maes; Patrick Gallinari (CORIA, 2006)

XML Structure Mapping. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (INEX, 2006)

Sequence Labeling with Reinforcement Learning and Ranking Algorithms. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (ECML, 2007)

Probabilistic Model for Structured Document Mapping. - Guillaume Wisniewski; Francis Maes; Ludovic Denoyer; Patrick Gallinari (MLDM, 2007)

Modèle probabiliste pour l'extraction de structures dans les documents web. - Guillaume Wisniewski; Francis Maes; Ludovic Denoyer (Document Numérique, 2007)

Apprentissage de conversion de documents semi-structurés à partir d'exemples. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (CORIA, 2008)

Applications of Reinforcement Learning to Structured Prediction. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (EWRL, 2008)

Simulated Iterative Classification A New Learning Procedure for Graph Labeling. - Francis Maes; Stéphane Peters; Ludovic Denoyer; Patrick Gallinari (ECML/PKDD (2), 2009)

Nieme: Large-Scale Energy-Based Models. - Francis Maes (J. Mach. Learn. Res., 2009)

Structured prediction with reinforcement learning. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (Mach. Learn., 2009)

Iterative multi-task sequence labeling for predicting structural properties of proteins. - Francis Maes; Julien Becker; Louis Wehenkel (ESANN, 2011)

Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits. - Francis Maes; Louis Wehenkel; Damien Ernst (EWRL, 2011)

Optimized Look-ahead Tree Search Policies. - Francis Maes; Louis Wehenkel; Damien Ernst (EWRL, 2011)

Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron. - Pierre Perick; David Lupien St-Pierre; Francis Maes; Damien Ernst (CIG, 2012)

Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. - Francis Maes; Raphael Fonteneau; Louis Wehenkel; Damien Ernst (Discovery Science, 2012)

Supervised learning to tune simulated annealing for in silico protein structure prediction. - Alejandro Marcos Alvarez; Francis Maes; Louis Wehenkel (ESANN, 2012)

Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning. - Michael Castronovo; Francis Maes; Raphael Fonteneau; Damien Ernst (EWRL, 2012)

Learning to Play K-armed Bandit Problems. - Francis Maes; Louis Wehenkel; Damien Ernst (ICAART (1), 2012)

Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case. - Francis Maes; Louis Wehenkel; Damien Ernst (ICAART (Revised Selected Papers), 2012)

Embedding Monte Carlo Search of Features in Tree-Based Ensemble Methods. - Francis Maes; Pierre Geurts; Louis Wehenkel (ECML/PKDD (1), 2012)

Monte Carlo Search Algorithm Discovery for One Player Games - Francis Maes; David Lupien St-Pierre; Damien Ernst (CoRR, 2012)

Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search - Tobias Jung; Louis Wehenkel; Damien Ernst; Francis Maes (CoRR, 2012)

Corpus-Based Structure Mapping of XML Document Corpora: A Reinforcement Learning Based Model. - Francis Maes; Ludovic Denoyer; Patrick Gallinari (Modeling, Learning, and Processing of Text Technological Data Structures, 2012)

Optimized look-ahead trees: Extensions to large and continuous action spaces. - Tobias Jung; Damien Ernst; Francis Maes (ADPRL, 2013)

Multi-objective optimization with surrogate trees. - Denny Verbeeck; Francis Maes; Kurt De Grave; Hendrik Blockeel (GECCO, 2013)

Monte Carlo Search Algorithm Discovery for Single-Player Games. - Francis Maes; David Lupien St-Pierre; Damien Ernst (IEEE Trans. Comput. Intell. AI Games, 2013)

Exploring the Space of IR Functions. - Parantapa Goswami; Simon Moura; Éric Gaussier; Massih-Reza Amini; Francis Maes (ECIR, 2014)