Fabrice Clérot

78 papers A* 5A 1B 7C 1Journal 22Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Selection of secondary features from multi-table data for classification. Data Knowl. Eng. Nicolas Voisine, Lou-Anne Quellet, Marc Boullé, Fabrice Clérot, Anais Collin
2025	J	`jnl`	Khiops: An End-to-End, Frugal AutoML and XAI Machine Learning Solution for Large, Multi-Table Databases. CoRR Marc Boullé, Nicolas Voisine, Bruno Guerraz, Carine Hue, Felipe Olmos, Vladimir Popescu, Stéphane Gouache, Stéphane Bouget, Alexis Bondu, Luc-Aurélien Gauthier, Noureddine Yacine Nair Benrekia, Fabrice Clérot, Vincent Lemaire
2025	—	`conf`	Khiops: apprentissage automatique sans hyperparamètre. EGC Marc Boullé, Nicolas Voisine, Bruno Guerraz, Carine Hue, Felipe Olmos, Vladimir Popescu, Stéphane Gouache, Stéphane Bouget, Alexis Bondu, Luc-Aurélien Gauthier, Noureddine Yassine Nair Benrekia, Fabrice Clérot, Vincent Lemaire
2025	—	`conf`	Sélection de variables secondaires de données multi-tables pour la classification. EGC Nicolas Voisine, Lou-Anne Quellet, Marc Boullé, Fabrice Clérot, Anais Collin
2023	—	`conf`	An Efficient Shapley Value Computation for the Naive Bayes Classifier. PKDD/ECML Workshops (1) Vincent Lemaire, Fabrice Clérot, Marc Boullé
2023	J	`jnl`	An Efficient Shapley Value Computation for the Naive Bayes Classifier. CoRR Vincent Lemaire, Fabrice Clérot, Marc Boullé
2023	—	`conf`	Comparaison des valeurs de Shapley et des valeurs du poids de l'évidence dans le cas du classifieur naïf de Bayes. EGC Vincent Lemaire, Fabrice Clérot, Marc Boullé
2022	J	`jnl`	Co-clustering based exploratory analysis of mixed-type data tables. CoRR Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2022	J	`jnl`	Model Based Co-clustering of Mixed Numerical and Binary Data. CoRR Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. CoRR Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
2020	—	`conf`	Anonymisation de trajectoires d'appels mobiles à l'aide de modèles en grilles et de chaines de Markov. EGC Françoise Fessant, Fabrice Clérot, Koray Ozbek
2020	B	`conf`	Multivariate Time Series Classification: A Relational Way. DaWaK Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot
2019	A*	`conf`	How to Deal with Scarce Annotations in Answer Selection. SIGIR Emmanuel Vallée, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer
2019	—	`conf`	Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data. AALTD@PKDD/ECML Vincent Lemaire, Fabien Boitier, Jelena Pesic, Alexis Bondu, Stéphane Ragot, Fabrice Clérot
2019	J	`jnl`	Un modèle Bayésien de co-clustering de données mixtes. CoRR Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot
2019	J	`jnl`	Unsupervised and weakly supervised approaches for answer selection tasks with scarce annotations. Open Comput. Sci. Emmanuel Vallée, Delphine Charlet, Francesca Galassi, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer
2018	—	`conf`	A two level co-clustering algorithm for very large data sets. EGC Marius Barctus, Marc Boullé, Fabrice Clérot
2018	—	`conf`	Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables. EGC (best of volume) Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2018	—	`conf`	Model Based Co-clustering of Mixed Numerical and Binary Data. EGC (best of volume) Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2018	—	`conf`	Un modèle Bayésien de co-clustering de données mixtes. EGC Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot
2017	J	`jnl`	A user parameter-free approach for mining robust sequential classification rules. Knowl. Inf. Syst. Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot
2017	—	`conf`	Anonymiser des données multidimensionnelles à l'aide du coclustering. EGC Françoise Fessant, Tarek Benkhelif, Fabrice Clérot
2017	—	`conf`	Application du coclustering à l'analyse exploratoire d'une table de données. EGC Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2017	—	`conf`	Co-clustering for Differentially Private Synthetic Data Generation. PAP@PKDD/ECML Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia
2017	—	`conf`	Co-clustering for Microdata Anonymization. DEXA (1) Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia
2017	B	`conf`	MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework. DaWaK Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot
2016	J	`jnl`	A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. CoRR Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
2016	—	`conf`	Analyse exploratoire par k-Coclustering avec Khiops CoViz. EGC Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot
2016	A	`conf`	Random Forest for the Contextual Bandit Problem. AISTATS Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
2016	J	`jnl`	Revisiting enumerative two-part crude MDL for Bernoulli and multinomial distributions (Extended version). CoRR Marc Boullé, Fabrice Clérot, Carine Hue
2015	A*	`conf`	A Parameter-Free Approach for Mining Robust Sequential Classification Rules. ICDM Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot
2015	A*	`conf`	A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. ICML Pratik Gajane, Tanguy Urvoy, Fabrice Clérot
2015	J	`jnl`	Cats & Co: Categorical Time Series Coclustering. CoRR Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot
2015	—	`conf`	Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. ECML/PKDD (3) Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2015	J	`jnl`	Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models. CoRR Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi
2015	J	`jnl`	Decision Tree Algorithms for the Contextual Bandit Problem. CoRR Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot
2015	B	`conf`	TESS: Temporal event sequence summarization. DSAA Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot
2014	—	`conf`	Clustering de séquences d'évènements temporels. EGC Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot
2014	—	`conf`	Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering Results. ECML/PKDD (3) Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot
2013	—	`conf`	Feature Extraction over Multiple Representations for Time Series Classification. NFMCP Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot
2013	—	`conf`	Generic Exploration and K-armed Voting Bandits. ICML (2) Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane
2012	J	`jnl`	Data for Development: the D4D Challenge on Mobile Phone Data CoRR Vincent D. Blondel, Markus Esch, Connie Chan, Fabrice Clérot, Pierre Deville, Etienne Huens, Frédéric Morlot, Zbigniew Smoreda, Cezary Ziemlicki
2012	—	`conf`	K-moyennes contraintes par un classifieur. Application à la personnalisation de scores de campagnes. EGC Vincent Lemaire, Nicolas Creff, Fabrice Clérot
2012	J	`jnl`	Toward a New Protocol to Evaluate Recommender Systems CoRR Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier
2012	—	`conf`	Toward a New Protocol to Evaluate Recommender Systems. RUE@RecSys Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier
2011	—	`conf`	Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid. EGC Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth
2010	B	`conf`	A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. IJCNN Vincent Lemaire, Marc Boullé, Fabrice Clérot, Pascal Gouzien
2010	—	`conf`	Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams. PAKDD (2) Nesrine Gabsi, Fabrice Clérot, Georges Hébrail
2010	—	`conf`	Interrogation des résumés de flux de données. EGC Nesrine Gabsi, Fabrice Clérot, Georges Hébrail
2010	A*	`conf`	The Orange Customer Analysis Platform. ICDM Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire
2009	—	`conf`	An Hybrid Data Stream Summarizing Approach by Sampling and Clustering. EGC (best of volume) Nesrine Gabsi, Fabrice Clérot, Georges Hébrail
2009	—	`conf`	An approach for handling risk and uncertainty in multiarmed bandit problems. EGC Stefano Perabò, Fabrice Clérot
2009	—	`conf`	La carte GHSOM comme alternative à la SOM pour l'analyse exploratoire de données. EGC Françoise Fessant, Fabrice Clérot, Pascal Gouzien
2009	—	`conf`	Résumé hybride de flux de données par échantillonnage et classification automatique. EGC Nesrine Gabsi, Fabrice Clérot, Georges Hébrail
2008	—	`conf`	A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines
2008	—	`conf`	Vers l'exploitation de grandes masses de données. EGC Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant
2007	J	`jnl`	Characterizing ADSL customer behaviours by network traffic data-mining. Ann. des Télécommunications Françoise Fessant, Joël François, Fabrice Clérot
2007	—	`conf`	Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis. GfKl Françoise Fessant, Vincent Lemaire, Fabrice Clérot
2007	J	`jnl`	Summarizing a 3 way relational data stream. Monde des Util. Anal. Données Baptiste Csernel, Fabrice Clérot, Georges Hébrail
2007	—	`conf`	Vers l'échantillonnage d'un entrepôt de données. EDA Raphaël Féraud, Fabrice Clérot
2006	—	`ch.`	An Input Variable Importance Definition based on Empirical Data Probability Distribution. Feature Extraction Vincent Lemaire, Fabrice Clérot
2006	—	`conf`	An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs. DMIN Françoise Fessant, Fabrice Clérot
2006	—	`conf`	Arbres de Décision Multi-Modes et Multi-Cibles. EGC Frank Meyer, Fabrice Clérot
2006	—	`conf`	Recherche en temps réel de préfixes massifs hiérarchiques dans un réseau IP à l'aide de techniques de stream mining. EGC Pascal Cheung-Mon-Chan, Fabrice Clérot
2006	—	`conf`	Une approche simple inspirée des réseaux sociaux pour la hiérarchisation des systèmes autonomes de l'Internet. EGC Fabrice Clérot, Quang Nguyen
2005	—	`conf`	Améliorer la découverte de chroniques par une découpe intelligente d'un log d'alarmes. EGC (Ateliers) Françoise Fessant, Christophe Dousson, Fabrice Clérot
2005	B	`conf`	Individualized HRTFs from few measurements: a statistical learning approach. IJCNN Vincent Lemaire, Fabrice Clérot, Sylvain Busson, Rozenn Nicol, Vincent Choqueuse
2005	—	`ch.`	The Many Faces of a Kohonen Map A Case Study: SOM-based Clustering for On-Line Fraud Behavior Classification. Classification and Clustering for Knowledge Discovery Vincent Lemaire, Fabrice Clérot
2004	J	`jnl`	A flow-based approach to modeling ADSL traffic on an IP backbone link. Ann. des Télécommunications Nadia Ben Azzouna, Fabrice Clérot, Christine Fricker, Fabrice Guillemin
2004	B	`conf`	An input variable importance definition based on empirical data probability and its use in variable selection. IJCNN Vincent Lemaire, Fabrice Clérot
2004	A*	`conf`	Mining of an Alarm Log to Improve the Discovery of Frequent Patterns. ICDM Françoise Fessant, Fabrice Clérot, Christophe Dousson
2002	J	`jnl`	A methodology to explain neural network classification. Neural Networks Raphaël Féraud, Fabrice Clérot
2002	—	`conf`	SOM-Based Clustering for On-Line Fraud Behavior Classification: A Case study. FSKD Vincent Lemaire, Fabrice Clérot
2000	J	`jnl`	A New Method to Increase the Margin of Multilayer Perceptrons. Neural Process. Lett. Vincent Lemaire, Olivier Bernier, Daniel Collobert, Fabrice Clérot
2000	B	`conf`	Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network. NETWORKING Raphaël Féraud, Fabrice Clérot, Jean-Louis Simon, Daniel Pallou, Cyril Labbé, Serge Martin
2000	C	`conf`	Wavelength Converters for Deflection Routing Networks. ISCC Thierry Chich, Fabrice Clérot
1997	—	`conf`	Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction. Modelling and Evaluation of ATM Networks Fabrice Clérot, Pascal Gouzien, Samy Bengio, Annie Gravey, Daniel Collobert