Pierre Dupont

Publication Activity (10 Years)

Years Active: 1993-2022
Publications (10 Years): 10

Top Topics

Feature Selection

Kullback Leibler

Top Venues

J. Mach. Learn. Res.

Publications

Alexander Gerniers, Pierre Dupont
MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data. BIBM (2022)
Alexander Gerniers, Orian Bricard, Pierre Dupont
MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data. Bioinform. 37 (19) (2021)
Victor Hamer, Pierre Dupont
Robust Selection Stability Estimation in Correlated Spaces. ECML/PKDD (3) (2021)
Victor Hamer, Pierre Dupont
An Importance Weighted Feature Selection Stability Measure. J. Mach. Learn. Res. 22 (2021)
Victor Hamer, Pierre Dupont
Joint optimization of predictive performance and selection stability. ESANN (2020)
Vincent Branders, Pierre Schaus, Pierre Dupont
Identifying gene-specific subgroups: an alternative to biclustering. BMC Bioinform. 20 (1) (2019)
Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont
Mining a Maximum Weighted Set of Disjoint Submatrices. DS (2019)
Guillaume Derval, Vincent Branders, Pierre Dupont, Pierre Schaus
The Maximum Weighted Submatrix Coverage Problem: A CP Approach. CPAIOR (2019)
Vincent Branders, Pierre Schaus, Pierre Dupont
Mining a Sub-Matrix of Maximal Sum. CoRR (2017)
Vincent Branders, Pierre Schaus, Pierre Dupont
Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum. NFMCP@PKDD/ECML (2017)
Samuel Branders, Roberto D'Ambrosio, Pierre Dupont
A mixture Cox-Logistic model for feature selection from survival and classification data. CoRR (2015)
Jérôme Paul, Roberto D'Ambrosio, Pierre Dupont
Kernel methods for heterogeneous feature selection. Neurocomputing 169 (2015)
Samuel Branders, Benoît Frénay, Pierre Dupont
Survival Analysis with Cox Regression and Random Non-linear Projections. ESANN (2015)
Jérôme Paul, Pierre Dupont
Inferring statistically significant features from random forests. Neurocomputing 150 (2015)
Jérôme Paul, Pierre Dupont
Kernel methods for mixed feature selection. ESANN (2014)
Samuel Branders, Roberto D'Ambrosio, Pierre Dupont
The Coxlogit model: Feature selection from survival and classification data. MCDM (2014)
Neil Walkinshaw, Bernard Lambeau, Christophe Damas, Kirill Bogdanov, Pierre Dupont
STAMINA: a competition to encourage the development and assessment of software model inference techniques. Empir. Softw. Eng. 18 (4) (2013)
Emilie Renard, Pierre Dupont, Michel Verleysen
User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. VAMP@EuroVis (2013)
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation. J. Mach. Learn. Res. 14 (1) (2013)
John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen
Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing 112 (2013)
Jérôme Paul, Michel Verleysen, Pierre Dupont
The stability of feature selection and class prediction from ensemble tree classifiers. ESANN (2012)
Roman Zakharov, Pierre Dupont
Ensemble Logistic Regression for Feature Selection. PRIB (2011)
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
Robust Multi-Class Gaussian Process Classification. NIPS (2011)
Thomas Abeel, Thibault Helleputte, Yves Van de Peer, Pierre Dupont, Yvan Saeys
Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinform. 26 (3) (2010)
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont
Expectation Propagation for Bayesian Multi-task Feature Selection. ECML/PKDD (1) (2010)
Karoline Faust, Pierre Dupont, Jérôme Callut, Jacques van Helden
Pathway discovery in metabolic networks by subgraph extraction. Bioinform. 26 (9) (2010)
Thibault Helleputte, Pierre Dupont
Partially supervised feature selection with regularized linear models. ICML (2009)
Thibault Helleputte, Pierre Dupont
Feature Selection by Transfer Learning with Linear Regularized Models. ECML/PKDD (1) (2009)
Pierre Dupont, Bernard Lambeau, Christophe Damas, Axel van Lamsweerde
The QSM Algorithm and its Application to Software Behavior Model Induction. Appl. Artif. Intell. 22 (1&2) (2008)
Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) (2008)
Bernard Lambeau, Christophe Damas, Pierre Dupont
State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. ICGI (2008)
Pierre Schaus, Yves Deville, Pierre Dupont, Jean-Charles Régin
The Deviation Constraint. CPAIOR (2007)
Jérôme Callut, Pierre Dupont
Learning Partially Observable Markov Models from First Passage Times. ECML (2007)
Stéphane Zampelli, Yves Deville, Christine Solnon, Sébastien Sorlin, Pierre Dupont
Filtering for Subgraph Isomorphism. CP (2007)
Jean-Noël Monette, Yves Deville, Pierre Dupont
A Position-Based Propagator for the Open-Shop Problem. CPAIOR (2007)
Pierre Schaus, Yves Deville, Pierre Dupont
Bound-Consistent Deviation Constraint. CP (2007)
Jérôme Callut, Pierre Dupont
Sequence Discrimination Using Phase-Type Distributions. ECML (2006)
Jérôme Callut, Pierre Dupont
. CAP (2005)
Pierre Dupont, François Denis, Yann Esposito
Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. Pattern Recognit. 38 (9) (2005)
Stéphane Zampelli, Yves Deville, Pierre Dupont
Approximate Constrained Subgraph Matching. CP (2005)
Christophe Damas, Bernard Lambeau, Pierre Dupont, Axel van Lamsweerde
Generating Annotated Behavior Models from End-User Scenarios. IEEE Trans. Software Eng. 31 (12) (2005)
Jérôme Callut, Pierre Dupont
Inducing Hidden Markov Models to Model Long-Term Dependencies. ECML (2005)
Grégoire Dooms, Yves Deville, Pierre Dupont
CP(Graph): Introducing a Graph Computation Domain in Constraint Programming. CP (2005)
Grégoire Dooms, Yves Deville, Pierre Dupont
A Mozart Implementation of CP(BioNet). MOZ (2004)
Jérôme Callut, Pierre Dupont
A Markovian Approach to the Induction of Regular String Distributions. ICGI (2004)
Marco Saerens, François Fouss, Luh Yen, Pierre Dupont
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. ECML (2004)
Grégoire Dooms, Yves Deville, Pierre Dupont
Recherche de chemins contraints dans les réseaux biochimiques. JFPLC (2004)
Christopher Kermorvant, Colin de la Higuera, Pierre Dupont
Improving Probabilistic Automata Learning with Additional Knowledge. SSPR/SPR (2004)
Christopher Kermorvant, Pierre Dupont
Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. ECML (2002)
Christopher Kermorvant, Pierre Dupont
Stochastic Grammatical Inference with Multinomial Tests. ICGI (2002)
Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont
Learning Probabilistic Residual Finite State Automata. ICGI (2002)
Franck Thollard, Pierre Dupont, Colin de la Higuera
Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. ICML (2000)
Pierre Dupont, Juan-Carlos Amengual
Smoothing Probabilistic Automata: An Error-Correcting Approach. ICGI (2000)
Pierre Dupont, Lin Lawrence Chase
Using Symbol Clustering to Improve Probabilistic Automaton Inference. ICGI (1998)
Peter R. Kraus, Vijay Kumar, Pierre Dupont
Analysis of Frictional Contact Models for Dynamic Simulation. ICRA (1998)
Tim Melanchuk, Pierre Dupont, Simon Backer
CDPD and Emerging Digital Cellular Systems. COMPCON (1996)
Pierre Dupont
Incremental regular inference. ICGI (1996)
Pierre Dupont
Overview of Current Virtual Reality Applications. IFIP Congress (3) (1994)
Pierre Dupont
Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. ICGI (1994)
Pierre Dupont, Laurent Miclet, Enrique Vidal
What Is the Search Space of the Regular Inference? ICGI (1994)
Pierre Dupont
Dynamic use of syntactical knowledge in continuous speech recognition. EUROSPEECH (1993)