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Marc Boullé
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Publications
- 2023
- [j18]Valentina Zelaya Mendizábal, Marc Boullé, Fabrice Rossi:
Fast and fully-automated histograms for large-scale data sets. Comput. Stat. Data Anal. 180: 107668 (2023) - [c89]Vincent Lemaire, Fabrice Clérot, Marc Boullé:
Comparaison des valeurs de Shapley et des valeurs du poids de l'évidence dans le cas du classifieur naïf de Bayes. EGC 2023: 385-392 - [c88]Mina Rafla, Nicolas Voisine, Bruno Crémilleux, Marc Boullé:
Une approche bayésienne non paramétrique de sélection de variables pour la modélisation de l'uplift. EGC 2023: 523-530 - [i15]Vincent Lemaire, Fabrice Clérot, Marc Boullé:
An Efficient Shapley Value Computation for the Naive Bayes Classifier. CoRR abs/2307.16718 (2023) - 2022
- [c87]Mina Rafla, Nicolas Voisine, Bruno Crémilleux, Marc Boullé:
A Non-parametric Bayesian Approach for Uplift Discretization and Feature Selection. ECML/PKDD (5) 2022: 239-254 - [i14]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. CoRR abs/2212.11725 (2022) - [i13]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering based exploratory analysis of mixed-type data tables. CoRR abs/2212.11728 (2022) - [i12]Valentina Zelaya Mendizábal, Marc Boullé, Fabrice Rossi:
Fast and fully-automated histograms for large-scale data sets. CoRR abs/2212.13524 (2022) - 2021
- [c86]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. PAKDD (1) 2021: 804-816 - [i11]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. CoRR abs/2103.10247 (2021) - 2020
- [c85]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. DaWaK 2020: 316-330 - [c84]Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka:
Sélections simultanées de variables et de représentations pour la classification de séries temporelles. EGC 2020: 415-424 - 2019
- [c83]Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka:
FEARS: a Feature and Representation Selection approach for Time Series Classification. ACML 2019: 379-394 - [p3]Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, Hugo Jair Escalante, Sergio Escalera, Zhengying Liu, Damir Jajetic, Bisakha Ray, Mehreen Saeed, Michèle Sebag, Alexander R. Statnikov, Wei-Wei Tu, Evelyne Viegas:
Analysis of the AutoML Challenge Series 2015-2018. Automated Machine Learning 2019: 177-219 - [i10]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. CoRR abs/1902.02056 (2019) - 2018
- [j16]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Discovering patterns in time-varying graphs: a triclustering approach. Adv. Data Anal. Classif. 12(3): 509-536 (2018) - [c82]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. EGC (best of volume) 2018: 3-22 - [c81]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables. EGC (best of volume) 2018: 23-41 - [c80]Marius Barctus, Marc Boullé, Fabrice Clérot:
A two level co-clustering algorithm for very large data sets. EGC 2018: 95-106 - [c79]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. EGC 2018: 275-280 - 2017
- [j14]Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
A user parameter-free approach for mining robust sequential classification rules. Knowl. Inf. Syst. 52(1): 53-81 (2017) - [c78]Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework. DaWaK 2017: 105-119 - [c77]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi:
Co-clustering de données mixtes à base des modèles de mélange. EGC 2017: 141-152 - [c76]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Application du coclustering à l'analyse exploratoire d'une table de données. EGC 2017: 177-188 - [c75]Sènami C. Fréjus Ahomagnon, Nicolas Voisine, Marc Boullé:
Sélection et transformation de variables pour la classification Multi-Label par une approche MDL. EGC 2017: 345-350 - 2016
- [c74]Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot:
Analyse exploratoire par k-Coclustering avec Khiops CoViz. EGC 2016: 493-498 - [i9]Marc Boullé, Fabrice Clérot, Carine Hue:
Revisiting enumerative two-part crude MDL for Bernoulli and multinomial distributions (Extended version). CoRR abs/1608.05522 (2016) - [i8]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach. CoRR abs/1608.07929 (2016) - 2015
- [c71]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
TESS: Temporal event sequence summarization. DSAA 2015: 1-10 - [c70]Carine Hue, Marc Boullé, Vincent Lemaire:
Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization. EGC (best of volume) 2015: 3-17 - [c68]Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot:
A Parameter-Free Approach for Mining Robust Sequential Classification Rules. ICDM 2015: 745-750 - [c67]Christophe Salperwyck, Marc Boullé, Vincent Lemaire:
Concept drift detection using supervised bivariate grids. IJCNN 2015: 1-9 - [c66]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML 2015 - [c65]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 3-16 - [c64]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. ECML/PKDD (3) 2015: 37-52 - [i7]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models. CoRR abs/1503.06060 (2015) - [i6]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Cats & Co: Categorical Time Series Coclustering. CoRR abs/1505.01300 (2015) - [i4]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. CoRR abs/1510.09005 (2015) - [i3]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Co-Clustering Network-Constrained Trajectory Data. CoRR abs/1511.01281 (2015) - 2014
- [c62]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot:
Clustering de séquences d'évènements temporels. EGC 2014: 191-202 - [c61]Carine Hue, Marc Boullé, Vincent Lemaire:
Apprentissage incrémental anytime d'un classifieur Bayésien naïf pondéré. EGC 2014: 287-298 - [c58]Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot:
Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering Results. ECML/PKDD (3) 2014: 444-447 - [i2]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Nonparametric Hierarchical Clustering of Functional Data. CoRR abs/1407.0612 (2014) - 2013
- [c57]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks. EGC (best of volume) 2013: 3-17 - [c56]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Co-Clustering Network-Constrained Trajectory Data. EGC (best of volume) 2013: 19-32 - [c53]Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi, Marc Boullé:
Classifications croisées de données de trajectoires contraintes par un réseau routier. EGC 2013: 341-352 - [c52]Dominique Gay, Marc Boullé:
Construction de descripteurs à partir du coclustering pour la classification supervisée de séries temporelles. EGC 2013: 353-364 - [c51]Christophe Salperwyck, Marc Boullé, Vincent Lemaire:
Grille bivariée pour la détection de changement dans un flux étiqueté. EGC 2013: 389-400 - [c50]Romain Guigourès, Marc Boullé, Fabrice Rossi:
Étude des corrélations spatio-temporelles des appels mobiles en France. EGC 2013: 437-448 - [c49]Alexis Bondu, Marc Boullé, Benoît Grossin:
SAXO: An optimized data-driven symbolic representation of time series. IJCNN 2013: 1-9 - [c48]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Feature Extraction over Multiple Representations for Time Series Classification. NFMCP 2013: 18-34 - [i1]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Triclustering Approach for Time Evolving Graphs. CoRR abs/1301.2659 (2013) - 2012
- [c47]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Nonparametric Hierarchical Clustering of Functional Data. EGC (best of volume) 2012: 15-35 - [c44]Marc Boullé, Romain Guigourès, Fabrice Rossi:
Clustering hiérarchique non paramétrique de données fonctionnelles. EGC 2012: 101-112 - [c42]Romain Guigourès, Marc Boullé, Fabrice Rossi:
A Triclustering Approach for Time Evolving Graphs. ICDM Workshops 2012: 115-122 - [c40]Dominique Gay, Marc Boullé:
A Bayesian Approach for Classification Rule Mining in Quantitative Databases. ECML/PKDD (2) 2012: 243-259 - 2011
- [c39]Romain Guigourès, Marc Boullé:
Optimisation directe des poids de modèles dans un prédicteur Bayésien naïf moyenné. EGC 2011: 77-82 - [c38]Alexis Bondu, Marc Boullé:
Détection de changements de distribution dans un flux de données : une approche supervisée. EGC 2011: 191-196 - [c35]Dominique Gay, Marc Boullé:
Un critère Bayésien pour évaluer la robustesse des règles de classification. EGC 2011: 539-550 - [c34]Alexis Bondu, Marc Boullé:
A supervised approach for change detection in data streams. IJCNN 2011: 519-526 - [c32]Dominique Gay, Marc Boullé:
A Bayesian Criterion for Evaluating the Robustness of Classification Rules in Binary Data Sets. EGC (best of volume) 2011: 3-21 - 2010
- [j12]Alexis Bondu, Marc Boullé, Vincent Lemaire:
A non-parametric semi-supervised discretization method. Knowl. Inf. Syst. 24(1): 35-57 (2010) - [c31]Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud:
Modelling Complex Data by Learning Which Variable to Construct. DaWak 2010: 324-335 - [c28]Alexis Bondu, Vincent Lemaire, Marc Boullé:
Une nouvelle stratégie d'apprentissage Bayésienne. EGC 2010: 707-708 - [c27]Alexis Bondu, Vincent Lemaire, Marc Boullé:
Exploration vs. exploitation in active learning : A Bayesian approach. IJCNN 2010: 1-7 - [c26]Vincent Lemaire, Marc Boullé, Fabrice Clérot, Pascal Gouzien:
A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. IJCNN 2010: 1-8 - [c25]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire:
The Orange Customer Analysis Platform. ICDM 2010: 584-594 - 2009
- [j8]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel:
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database. SIGKDD Explor. 11(2): 68-76 (2009) - [c24]Nicolas Voisine, Marc Boullé, Carine Hue:
A Bayes Evaluation Criterion for Decision Trees. EGC (best of volume) 2009: 21-38 - [c23]Nicolas Voisine, Marc Boullé, Carine Hue:
Un critère d'évaluation Bayésienne pour la construction d'arbre de décision. EGC 2009: 67-78 - [c21]Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel:
Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. KDD Cup 2009: 1-22 - [p2]Damien Poirier, Françoise Fessant, Cécile Bothorel, Emilie Guimier De Neef, Marc Boullé:
Approches Statistique et Linguistique Pour la Classification de Textes d'Opinion Portant sur les Films. Fouille de Données d'Opinions 2009: 144-167 - [e1]Gideon Dror, Marc Boullé, Isabelle Guyon, Vincent Lemaire, David Vogel:
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009. JMLR Proceedings 7, JMLR.org 2009 [contents] - 2008
- [c19]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant:
Vers l'exploitation de grandes masses de données. EGC 2008: 241-252 - [c18]Damien Poirier, Cécile Bothorel, Marc Boullé:
Analyse exploratoire d'opinions cinématographiques : co-clustering de corpus textuels communautaires. EGC 2008: 565-576 - [c17]Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval:
A Non-parametric Semi-supervised Discretization Method. ICDM 2008: 53-62 - 2007
- [j6]Carine Hue, Marc Boullé:
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning. J. Mach. Learn. Res. 8: 2727-2754 (2007) - [c16]Carine Hue, Marc Boullé:
Une approche non paramétrique Bayesienne pour l'estimation de densité conditionnelle sur les rangs. EGC 2007: 111-122 - [c12]Laurent Candillier, Frank Meyer, Marc Boullé:
Comparing State-of-the-Art Collaborative Filtering Systems. MLDM 2007: 548-562 - 2006
- [c11]Marc Boullé, Carine Hue:
Optimal Bayesian 2D-Discretization for Variable Ranking in Regression. Discovery Science 2006: 53-64
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