Dynamic use of syntactical knowledge in continuous speech recognition. - Pierre Dupont (EUROSPEECH, 1993)

Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. - Pierre Dupont (ICGI, 1994)

What Is the Search Space of the Regular Inference? - Pierre Dupont; Laurent Miclet; Enrique Vidal 001 (ICGI, 1994)

Overview of Current Virtual Reality Applications. - Pierre Dupont (IFIP Congress (3), 1994)

CDPD and Emerging Digital Cellular Systems. - Tim Melanchuk; Pierre Dupont; Simon Backer (COMPCON, 1996)

Incremental regular inference. - Pierre Dupont (ICGI, 1996)

Using Symbol Clustering to Improve Probabilistic Automaton Inference. - Pierre Dupont; Lin Lawrence Chase (ICGI, 1998)

Analysis of Frictional Contact Models for Dynamic Simulation. - Peter R. Kraus; Vijay Kumar; Pierre Dupont (ICRA, 1998)

Smoothing Probabilistic Automata: An Error-Correcting Approach. - Pierre Dupont; Juan-Carlos Amengual (ICGI, 2000)

Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. - Franck Thollard; Pierre Dupont; Colin de la Higuera (ICML, 2000)

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. - Christopher Kermorvant; Pierre Dupont (ECML, 2002)

Learning Probabilistic Residual Finite State Automata. - Yann Esposito; Aurélien Lemay; François Denis; Pierre Dupont (ICGI, 2002)

Stochastic Grammatical Inference with Multinomial Tests. - Christopher Kermorvant; Pierre Dupont (ICGI, 2002)

The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. - Marco Saerens; François Fouss; Luh Yen; Pierre Dupont (ECML, 2004)

A Markovian Approach to the Induction of Regular String Distributions. - Jérôme Callut; Pierre Dupont (ICGI, 2004)

Recherche de chemins contraints dans les réseaux biochimiques. - Grégoire Dooms; Yves Deville; Pierre Dupont (JFPLC, 2004)

A Mozart Implementation of CP(BioNet). - Grégoire Dooms; Yves Deville; Pierre Dupont (MOZ, 2004)

Improving Probabilistic Automata Learning with Additional Knowledge. - Christopher Kermorvant; Colin de la Higuera; Pierre Dupont (SSPR/SPR, 2004)

Séparateurs à Vaste Marge Optimisant la Fonction Fbeta. - Jérôme Callut; Pierre Dupont (CAP, 2005)

CP(Graph): Introducing a Graph Computation Domain in Constraint Programming. - Grégoire Dooms; Yves Deville; Pierre Dupont (CP, 2005)

Approximate Constrained Subgraph Matching. - Stéphane Zampelli; Yves Deville; Pierre Dupont (CP, 2005)

Inducing Hidden Markov Models to Model Long-Term Dependencies. - Jérôme Callut; Pierre Dupont (ECML, 2005)

Fβ support vector machines. - Jérôme Callut; Pierre Dupont (IJCNN, 2005)

Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. - Pierre Dupont; François Denis; Yann Esposito (Pattern Recognit., 2005)

Generating Annotated Behavior Models from End-User Scenarios. - Christophe Damas; Bernard Lambeau; Pierre Dupont; Axel van Lamsweerde (IEEE Trans. Software Eng., 2005)

Sequence Discrimination Using Phase-Type Distributions. - Jérôme Callut; Pierre Dupont (ECML, 2006)

Bound-Consistent Deviation Constraint. - Pierre Schaus; Yves Deville; Pierre Dupont (CP, 2007)

Filtering for Subgraph Isomorphism. - Stéphane Zampelli; Yves Deville; Christine Solnon; Sébastien Sorlin; Pierre Dupont (CP, 2007)

A Position-Based Propagator for the Open-Shop Problem. - Jean-Noël Monette; Yves Deville; Pierre Dupont (CPAIOR, 2007)

The Deviation Constraint. - Pierre Schaus; Yves Deville; Pierre Dupont; Jean-Charles Régin (CPAIOR, 2007)

Learning Partially Observable Markov Models from First Passage Times. - Jérôme Callut; Pierre Dupont (ECML, 2007)

State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. - Bernard Lambeau; Christophe Damas; Pierre Dupont (ICGI, 2008)

Classification in Graphs using Discriminative Random Walks. - Jérôme Callut; Kevin Françoisse; Marco Saerens; Pierre Dupont (MLG@ICML, 2008)

Semi-supervised Classification from Discriminative Random Walks. - Jérôme Callut; Kevin Françoisse; Marco Saerens; Pierre Dupont (ECML/PKDD (1), 2008)

The QSM Algorithm and its Application to Software Behavior Model Induction. - Pierre Dupont; Bernard Lambeau; Christophe Damas; Axel van Lamsweerde (Appl. Artif. Intell., 2008)

Partially supervised feature selection with regularized linear models. - Thibault Helleputte; Pierre Dupont (ICML, 2009)

Feature Selection by Transfer Learning with Linear Regularized Models. - Thibault Helleputte; Pierre Dupont (ECML/PKDD (1), 2009)

Expectation Propagation for Bayesian Multi-task Feature Selection. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Thibault Helleputte; Pierre Dupont (ECML/PKDD (1), 2010)

Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. - Thomas Abeel; Thibault Helleputte; Yves Van de Peer; Pierre Dupont; Yvan Saeys (Bioinform., 2010)

Pathway discovery in metabolic networks by subgraph extraction. - Karoline Faust; Pierre Dupont; Jérôme Callut; Jacques van Helden (Bioinform., 2010)

Robust Multi-Class Gaussian Process Classification. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Pierre Dupont (NIPS, 2011)

Ensemble Logistic Regression for Feature Selection. - Roman Zakharov; Pierre Dupont (PRIB, 2011)

The stability of feature selection and class prediction from ensemble tree classifiers. - Jérôme Paul; Michel Verleysen; Pierre Dupont (ESANN, 2012)

User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. - Emilie Renard; Pierre Dupont; Michel Verleysen (VAMP@EuroVis, 2013)

STAMINA: a competition to encourage the development and assessment of software model inference techniques. - Neil Walkinshaw; Bernard Lambeau; Christophe Damas; Kirill Bogdanov 002; Pierre Dupont (Empir. Softw. Eng., 2013)

Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. - John Aldo Lee; Emilie Renard; Guillaume Bernard 001; Pierre Dupont; Michel Verleysen (Neurocomputing, 2013)

Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation. - Daniel Hernández-Lobato; José Miguel Hernández-Lobato; Pierre Dupont (J. Mach. Learn. Res., 2013)

The Coxlogit model: Feature selection from survival and classification data. - Samuel Branders; Roberto D'Ambrosio; Pierre Dupont (MCDM, 2014)

Kernel methods for mixed feature selection. - Jérôme Paul; Pierre Dupont (ESANN, 2014)

Survival Analysis with Cox Regression and Random Non-linear Projections. - Samuel Branders; Benoît Frénay; Pierre Dupont (ESANN, 2015)

A mixture Cox-Logistic model for feature selection from survival and classification data. - Samuel Branders; Roberto D'Ambrosio; Pierre Dupont (CoRR, 2015)

Inferring statistically significant features from random forests. - Jérôme Paul; Pierre Dupont (Neurocomputing, 2015)

Kernel methods for heterogeneous feature selection. - Jérôme Paul; Roberto D'Ambrosio; Pierre Dupont (Neurocomputing, 2015)

Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum. - Vincent Branders; Pierre Schaus; Pierre Dupont (NFMCP@PKDD/ECML, 2017)

Mining a Sub-Matrix of Maximal Sum. - Vincent Branders; Pierre Schaus; Pierre Dupont (CoRR, 2017)

The Maximum Weighted Submatrix Coverage Problem: A CP Approach. - Guillaume Derval; Vincent Branders; Pierre Dupont; Pierre Schaus (CPAIOR, 2019)

Mining a Maximum Weighted Set of Disjoint Submatrices. - Vincent Branders; Guillaume Derval; Pierre Schaus; Pierre Dupont (DS, 2019)

Identifying gene-specific subgroups: an alternative to biclustering. - Vincent Branders; Pierre Schaus; Pierre Dupont (BMC Bioinform., 2019)

Joint optimization of predictive performance and selection stability. - Victor Hamer; Pierre Dupont (ESANN, 2020)

Robust Selection Stability Estimation in Correlated Spaces. - Victor Hamer; Pierre Dupont (ECML/PKDD (3), 2021)

MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data. - Alexander Gerniers; Orian Bricard; Pierre Dupont (Bioinform., 2021)

An Importance Weighted Feature Selection Stability Measure. - Victor Hamer; Pierre Dupont (J. Mach. Learn. Res., 2021)

MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data. - Alexander Gerniers; Pierre Dupont (BIBM, 2022)

Detection of Large Language Model Contamination with Tabular Data. - Benoît Ronval; Pierre Dupont; Siegfried Nijssen (IDA, 2025)