Pierre Dupont

According to our database, Pierre Dupont authored at least 61 papers between 1993 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data.

Alexander Gerniers, Pierre Dupont

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

An Importance Weighted Feature Selection Stability Measure.

Victor Hamer, Pierre Dupont

J. Mach. Learn. Res., 2021

MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data.

Alexander Gerniers, Orian Bricard, Pierre Dupont

Bioinform., 2021

Robust Selection Stability Estimation in Correlated Spaces.

Victor Hamer, Pierre Dupont

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Joint optimization of predictive performance and selection stability.

Victor Hamer, Pierre Dupont

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Identifying gene-specific subgroups: an alternative to biclustering.

Vincent Branders, Pierre Schaus, Pierre Dupont

BMC Bioinform., 2019

Mining a Maximum Weighted Set of Disjoint Submatrices.

Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont

Proceedings of the Discovery Science - 22nd International Conference, 2019

The Maximum Weighted Submatrix Coverage Problem: A CP Approach.

Guillaume Derval, Vincent Branders, Pierre Dupont, Pierre Schaus

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

2017

Mining a Sub-Matrix of Maximal Sum.

Vincent Branders, Pierre Schaus, Pierre Dupont

CoRR, 2017

Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum.

Vincent Branders, Pierre Schaus, Pierre Dupont

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

2015

Kernel methods for heterogeneous feature selection.

Jérôme Paul, Roberto D'Ambrosio, Pierre Dupont

Neurocomputing, 2015

Inferring statistically significant features from random forests.

Jérôme Paul, Pierre Dupont

Neurocomputing, 2015

A mixture Cox-Logistic model for feature selection from survival and classification data.

Samuel Branders, Roberto D'Ambrosio, Pierre Dupont

CoRR, 2015

Survival Analysis with Cox Regression and Random Non-linear Projections.

Samuel Branders, Benoît Frénay, Pierre Dupont

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Kernel methods for mixed feature selection.

Jérôme Paul, Pierre Dupont

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

The Coxlogit model: Feature selection from survival and classification data.

Samuel Branders, Roberto D'Ambrosio, Pierre Dupont

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

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

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, Pierre Dupont, Michel Verleysen

Neurocomputing, 2013

STAMINA: a competition to encourage the development and assessment of software model inference techniques.

Neil Walkinshaw, Bernard Lambeau, Christophe Damas, Kirill Bogdanov, Pierre Dupont

Empir. Softw. Eng., 2013

User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data.

Emilie Renard, Pierre Dupont, Michel Verleysen

Proceedings of the 1st International Workshop on Visual Analytics Using Multidimensional Projections, 2013

2012

The stability of feature selection and class prediction from ensemble tree classifiers.

Jérôme Paul, Michel Verleysen, Pierre Dupont

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Ensemble Logistic Regression for Feature Selection.

Roman Zakharov, Pierre Dupont

Proceedings of the Pattern Recognition in Bioinformatics, 2011

Robust Multi-Class Gaussian Process Classification.

Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Pathway discovery in metabolic networks by subgraph extraction.

Karoline Faust, Pierre Dupont, Jérôme Callut, Jacques van Helden

Bioinform., 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

Expectation Propagation for Bayesian Multi-task Feature Selection.

Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Feature Selection by Transfer Learning with Linear Regularized Models.

Thibault Helleputte, Pierre Dupont

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Partially supervised feature selection with regularized linear models.

Thibault Helleputte, Pierre Dupont

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

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

Semi-supervised Classification from Discriminative Random Walks.

Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

State-Merging DFA Induction Algorithms with Mandatory Merge Constraints.

Bernard Lambeau, Christophe Damas, Pierre Dupont

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2007

Learning Partially Observable Markov Models from First Passage Times.

Jérôme Callut, Pierre Dupont

Proceedings of the Machine Learning: ECML 2007, 2007

The Deviation Constraint.

Pierre Schaus, Yves Deville, Pierre Dupont, Jean-Charles Régin

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2007

A Position-Based Propagator for the Open-Shop Problem.

Jean-Noël Monette, Yves Deville, Pierre Dupont

Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2007

Filtering for Subgraph Isomorphism.

Stéphane Zampelli, Yves Deville, Christine Solnon, Sébastien Sorlin, Pierre Dupont

Proceedings of the Principles and Practice of Constraint Programming, 2007

Bound-Consistent Deviation Constraint.

Pierre Schaus, Yves Deville, Pierre Dupont

Proceedings of the Principles and Practice of Constraint Programming, 2007

2006

Sequence Discrimination Using Phase-Type Distributions.

Jérôme Callut, Pierre Dupont

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Generating Annotated Behavior Models from End-User Scenarios.

Christophe Damas, Bernard Lambeau, Pierre Dupont, Axel van Lamsweerde

IEEE Trans. Software Eng., 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

Inducing Hidden Markov Models to Model Long-Term Dependencies.

Jérôme Callut, Pierre Dupont

Proceedings of the Machine Learning: ECML 2005, 2005

Approximate Constrained Subgraph Matching.

Stéphane Zampelli, Yves Deville, Pierre Dupont

Proceedings of the Principles and Practice of Constraint Programming, 2005

CP(Graph): Introducing a Graph Computation Domain in Constraint Programming.

Grégoire Dooms, Yves Deville, Pierre Dupont

Proceedings of the Principles and Practice of Constraint Programming, 2005

Séparateurs à Vaste Marge Optimisant la Fonction F_beta.

Jérôme Callut, Pierre Dupont

Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004

Improving Probabilistic Automata Learning with Additional Knowledge.

Christopher Kermorvant, Colin de la Higuera, Pierre Dupont

Proceedings of the Structural, 2004

A Mozart Implementation of CP(BioNet).

Grégoire Dooms, Yves Deville, Pierre Dupont

Proceedings of the Multiparadigm Programming in Mozart/Oz, Second International Conference, 2004

Recherche de chemins contraints dans les réseaux biochimiques.

Grégoire Dooms, Yves Deville, Pierre Dupont

Proceedings of the Programmation en logique avec contraintes, 2004

A Markovian Approach to the Induction of Regular String Distributions.

Jérôme Callut, Pierre Dupont

Proceedings of the Grammatical Inference: Algorithms and Applications, 2004

The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.

Marco Saerens, François Fouss, Luh Yen, Pierre Dupont

Proceedings of the Machine Learning: ECML 2004, 2004

2002

Stochastic Grammatical Inference with Multinomial Tests.

Christopher Kermorvant, Pierre Dupont

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

Learning Probabilistic Residual Finite State Automata.

Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains.

Christopher Kermorvant, Pierre Dupont

Proceedings of the Machine Learning: ECML 2002, 2002

2000

Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality.

Franck Thollard, Pierre Dupont, Colin de la Higuera

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Smoothing Probabilistic Automata: An Error-Correcting Approach.

Pierre Dupont, Juan-Carlos Amengual

Proceedings of the Grammatical Inference: Algorithms and Applications, 2000

1998

Analysis of Frictional Contact Models for Dynamic Simulation.

Peter R. Kraus, Vijay Kumar, Pierre Dupont

Proceedings of the IEEE International Conference on Robotics and Automation, 1998

Using Symbol Clustering to Improve Probabilistic Automaton Inference.

Pierre Dupont, Lin Lawrence Chase

Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1996

Incremental regular inference.

Pierre Dupont

Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

CDPD and Emerging Digital Cellular Systems.

Tim Melanchuk, Pierre Dupont, Simon Backer

Proceedings of the Forty-First IEEE Computer Society International Conference: Technologies for the Information Superhighway, 1996

1994

Overview of Current Virtual Reality Applications.

Pierre Dupont

Proceedings of the Linkage and Developing Countries, Information Processing '94, Volume 3, Proceedings of the IFIP 13th World Computer Congress, Hamburg, Germany, 28 August, 1994

What Is the Search Space of the Regular Inference?

Pierre Dupont, Laurent Miclet, Enrique Vidal

Proceedings of the Grammatical Inference and Applications, Second International Colloquium, 1994

Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method.

Pierre Dupont

Proceedings of the Grammatical Inference and Applications, Second International Colloquium, 1994

1993

Dynamic use of syntactical knowledge in continuous speech recognition.

Pierre Dupont

Proceedings of the Third European Conference on Speech Communication and Technology, 1993