Pierre Dupont - RankMe

66 papers A* 3A 4B 10Journal 17Unranked 32

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Detection of Large Language Model Contamination with Tabular Data. IDA Benoît Ronval, Pierre Dupont, Siegfried Nijssen
2025	J	`jnl`	TAGAL: Tabular Data Generation using Agentic LLM Methods. CoRR Benoît Ronval, Pierre Dupont, Siegfried Nijssen
2024	J	`jnl`	scCross: efficient search for rare subpopulations across multiple single-cell samples. Bioinform. Alexander Gerniers, Siegfried Nijssen, Pierre Dupont
2022	—	`conf`	MicroCellClust 2: a hybrid approach for multivariate rare cell mining in large-scale single-cell data. BIBM Alexander Gerniers, Pierre Dupont
2021	J	`jnl`	An Importance Weighted Feature Selection Stability Measure. J. Mach. Learn. Res. Victor Hamer, Pierre Dupont
2021	J	`jnl`	MicroCellClust: mining rare and highly specific subpopulations from single-cell expression data. Bioinform. Alexander Gerniers, Orian Bricard, Pierre Dupont
2021	—	`conf`	Robust Selection Stability Estimation in Correlated Spaces. ECML/PKDD (3) Victor Hamer, Pierre Dupont
2020	B	`conf`	Joint optimization of predictive performance and selection stability. ESANN Victor Hamer, Pierre Dupont
2019	J	`jnl`	Identifying gene-specific subgroups: an alternative to biclustering. BMC Bioinform. Vincent Branders, Pierre Schaus, Pierre Dupont
2019	B	`conf`	Mining a Maximum Weighted Set of Disjoint Submatrices. DS Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont
2019	B	`conf`	The Maximum Weighted Submatrix Coverage Problem: A CP Approach. CPAIOR Guillaume Derval, Vincent Branders, Pierre Dupont, Pierre Schaus
2017	—	`conf`	Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum. NFMCP@PKDD/ECML Vincent Branders, Pierre Schaus, Pierre Dupont
2017	J	`jnl`	Mining a Sub-Matrix of Maximal Sum. CoRR Vincent Branders, Pierre Schaus, Pierre Dupont
2015	J	`jnl`	A mixture Cox-Logistic model for feature selection from survival and classification data. CoRR Samuel Branders, Roberto D'Ambrosio, Pierre Dupont
2015	J	`jnl`	Inferring statistically significant features from random forests. Neurocomputing Jérôme Paul, Pierre Dupont
2015	J	`jnl`	Kernel methods for heterogeneous feature selection. Neurocomputing Jérôme Paul, Roberto D'Ambrosio, Pierre Dupont
2015	B	`conf`	Survival Analysis with Cox Regression and Random Non-linear Projections. ESANN Samuel Branders, Benoît Frénay, Pierre Dupont
2014	B	`conf`	Kernel methods for mixed feature selection. ESANN Jérôme Paul, Pierre Dupont
2014	—	`conf`	The Coxlogit model: Feature selection from survival and classification data. MCDM Samuel Branders, Roberto D'Ambrosio, Pierre Dupont
2013	J	`jnl`	Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation. J. Mach. Learn. Res. Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
2013	J	`jnl`	STAMINA: a competition to encourage the development and assessment of software model inference techniques. Empir. Softw. Eng. Neil Walkinshaw, Bernard Lambeau, Christophe Damas, Kirill Bogdanov, Pierre Dupont
2013	J	`jnl`	Type 1 and 2 mixtures of Kullback-Leibler divergences as cost functions in dimensionality reduction based on similarity preservation. Neurocomputing John Aldo Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen
2013	—	`conf`	User Control for Adjusting Conflicting Objectives in Parameter-dependent Visualization of Data. VAMP@EuroVis Emilie Renard, Pierre Dupont, Michel Verleysen
2012	B	`conf`	The stability of feature selection and class prediction from ensemble tree classifiers. ESANN Jérôme Paul, Michel Verleysen, Pierre Dupont
2011	—	`conf`	Ensemble Logistic Regression for Feature Selection. PRIB Roman Zakharov, Pierre Dupont
2011	—	`conf`	Robust Multi-Class Gaussian Process Classification. NIPS Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
2010	—	`conf`	Expectation Propagation for Bayesian Multi-task Feature Selection. ECML/PKDD (1) Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Thibault Helleputte, Pierre Dupont
2010	J	`jnl`	Pathway discovery in metabolic networks by subgraph extraction. Bioinform. Karoline Faust, Pierre Dupont, Jérôme Callut, Jacques van Helden
2010	J	`jnl`	Robust biomarker identification for cancer diagnosis with ensemble feature selection methods. Bioinform. Thomas Abeel, Thibault Helleputte, Yves Van de Peer, Pierre Dupont, Yvan Saeys
2009	—	`conf`	Feature Selection by Transfer Learning with Linear Regularized Models. ECML/PKDD (1) Thibault Helleputte, Pierre Dupont
2009	A*	`conf`	Partially supervised feature selection with regularized linear models. ICML Thibault Helleputte, Pierre Dupont
2008	—	`conf`	Classification in Graphs using Discriminative Random Walks. MLG@ICML Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
2008	—	`conf`	Semi-supervised Classification from Discriminative Random Walks. ECML/PKDD (1) Jérôme Callut, Kevin Françoisse, Marco Saerens, Pierre Dupont
2008	—	`conf`	State-Merging DFA Induction Algorithms with Mandatory Merge Constraints. ICGI Bernard Lambeau, Christophe Damas, Pierre Dupont
2008	J	`jnl`	The QSM Algorithm and its Application to Software Behavior Model Induction. Appl. Artif. Intell. Pierre Dupont, Bernard Lambeau, Christophe Damas, Axel van Lamsweerde
2007	B	`conf`	A Position-Based Propagator for the Open-Shop Problem. CPAIOR Jean-Noël Monette, Yves Deville, Pierre Dupont
2007	A	`conf`	Bound-Consistent Deviation Constraint. CP Pierre Schaus, Yves Deville, Pierre Dupont
2007	A	`conf`	Filtering for Subgraph Isomorphism. CP Stéphane Zampelli, Yves Deville, Christine Solnon, Sébastien Sorlin, Pierre Dupont
2007	—	`conf`	Learning Partially Observable Markov Models from First Passage Times. ECML Jérôme Callut, Pierre Dupont
2007	B	`conf`	The Deviation Constraint. CPAIOR Pierre Schaus, Yves Deville, Pierre Dupont, Jean-Charles Régin
2006	—	`conf`	Sequence Discrimination Using Phase-Type Distributions. ECML Jérôme Callut, Pierre Dupont
2005	A	`conf`	Approximate Constrained Subgraph Matching. CP Stéphane Zampelli, Yves Deville, Pierre Dupont
2005	A	`conf`	CP(Graph): Introducing a Graph Computation Domain in Constraint Programming. CP Grégoire Dooms, Yves Deville, Pierre Dupont
2005	B	`conf`	F IJCNN Jérôme Callut, Pierre Dupont
2005	J	`jnl`	Generating Annotated Behavior Models from End-User Scenarios. IEEE Trans. Software Eng. Christophe Damas, Bernard Lambeau, Pierre Dupont, Axel van Lamsweerde
2005	—	`conf`	Inducing Hidden Markov Models to Model Long-Term Dependencies. ECML Jérôme Callut, Pierre Dupont
2005	J	`jnl`	Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms. Pattern Recognit. Pierre Dupont, François Denis, Yann Esposito
2005	—	`conf`	Séparateurs à Vaste Marge Optimisant la Fonction F CAP Jérôme Callut, Pierre Dupont
2004	—	`conf`	A Markovian Approach to the Induction of Regular String Distributions. ICGI Jérôme Callut, Pierre Dupont
2004	—	`conf`	A Mozart Implementation of CP(BioNet). MOZ Grégoire Dooms, Yves Deville, Pierre Dupont
2004	—	`conf`	Improving Probabilistic Automata Learning with Additional Knowledge. SSPR/SPR Christopher Kermorvant, Colin de la Higuera, Pierre Dupont
2004	—	`conf`	Recherche de chemins contraints dans les réseaux biochimiques. JFPLC Grégoire Dooms, Yves Deville, Pierre Dupont
2004	—	`conf`	The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering. ECML Marco Saerens, François Fouss, Luh Yen, Pierre Dupont
2002	—	`conf`	Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains. ECML Christopher Kermorvant, Pierre Dupont
2002	—	`conf`	Learning Probabilistic Residual Finite State Automata. ICGI Yann Esposito, Aurélien Lemay, François Denis, Pierre Dupont
2002	—	`conf`	Stochastic Grammatical Inference with Multinomial Tests. ICGI Christopher Kermorvant, Pierre Dupont
2000	A*	`conf`	Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. ICML Franck Thollard, Pierre Dupont, Colin de la Higuera
2000	—	`conf`	Smoothing Probabilistic Automata: An Error-Correcting Approach. ICGI Pierre Dupont, Juan-Carlos Amengual
1998	A*	`conf`	Analysis of Frictional Contact Models for Dynamic Simulation. ICRA Peter R. Kraus, Vijay Kumar, Pierre Dupont
1998	—	`conf`	Using Symbol Clustering to Improve Probabilistic Automaton Inference. ICGI Pierre Dupont, Lin Lawrence Chase
1996	—	`conf`	CDPD and Emerging Digital Cellular Systems. COMPCON Tim Melanchuk, Pierre Dupont, Simon Backer
1996	—	`conf`	Incremental regular inference. ICGI Pierre Dupont
1994	—	`conf`	Overview of Current Virtual Reality Applications. IFIP Congress (3) Pierre Dupont
1994	—	`conf`	Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method. ICGI Pierre Dupont
1994	—	`conf`	What Is the Search Space of the Regular Inference? ICGI Pierre Dupont, Laurent Miclet, Enrique Vidal
1993	—	`conf`	Dynamic use of syntactical knowledge in continuous speech recognition. EUROSPEECH Pierre Dupont