Fabrice Clérot

According to our database, Fabrice Clérot authored at least 64 papers between 1997 and 2023.

Collaborative distances:

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

2023

An Efficient Shapley Value Computation for the Naive Bayes Classifier.

Vincent Lemaire, Fabrice Clérot, Marc Boullé

CoRR, 2023

Comparaison des valeurs de Shapley et des valeurs du poids de l'évidence dans le cas du classifieur naïf de Bayes.

Vincent Lemaire, Fabrice Clérot, Marc Boullé

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

Open challenges for Machine Learning based Early Decision-Making research.

Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau

SIGKDD Explor., 2022

2020

Anonymisation de trajectoires d'appels mobiles à l'aide de modèles en grilles et de chaines de Markov.

Françoise Fessant, Fabrice Clérot, Koray Ozbek

Proceedings of the Extraction et Gestion des Connaissances, 2020

Multivariate Time Series Classification: A Relational Way.

Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019

Unsupervised and weakly supervised approaches for answer selection tasks with scarce annotations.

Emmanuel Vallée, Delphine Charlet, Francesca Galassi, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer

Open Comput. Sci., 2019

How to Deal with Scarce Annotations in Answer Selection.

Emmanuel Vallée, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data.

Vincent Lemaire, Fabien Boitier, Jelena Pesic, Alexis Bondu, Stéphane Ragot, Fabrice Clérot

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

2018

Un modèle Bayésien de co-clustering de données mixtes.

Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot

Proceedings of the Extraction et Gestion des Connaissances, 2018

Co-clustering Based Exploratory Analysis of Mixed-Type Data Tables.

Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi

Proceedings of the Advances in Knowledge Discovery and Management, 2018

Model Based Co-clustering of Mixed Numerical and Binary Data.

Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi

Proceedings of the Advances in Knowledge Discovery and Management, 2018

A two level co-clustering algorithm for very large data sets.

Marius Barctus, Marc Boullé, Fabrice Clérot

Proceedings of the Extraction et Gestion des Connaissances, 2018

2017

A user parameter-free approach for mining robust sequential classification rules.

Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot

Knowl. Inf. Syst., 2017

Co-clustering for Differentially Private Synthetic Data Generation.

Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia

Proceedings of the Personal Analytics and Privacy. An Individual and Collective Perspective, 2017

Anonymiser des données multidimensionnelles à l'aide du coclustering.

Françoise Fessant, Tarek Benkhelif, Fabrice Clérot

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Application du coclustering à l'analyse exploratoire d'une table de données.

Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi

Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

Co-clustering for Microdata Anonymization.

Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia

Proceedings of the Database and Expert Systems Applications, 2017

MiSeRe-Hadoop: A Large-Scale Robust Sequential Classification Rules Mining Framework.

Elias Egho, Dominique Gay, Romain Trinquart, Marc Boullé, Nicolas Voisine, Fabrice Clérot

Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016

Revisiting enumerative two-part crude MDL for Bernoulli and multinomial distributions (Extended version).

Marc Boullé, Fabrice Clérot, Carine Hue

CoRR, 2016

Analyse exploratoire par k-Coclustering avec Khiops CoViz.

Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot

Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016

Random Forest for the Contextual Bandit Problem.

Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Cats & Co: Categorical Time Series Coclustering.

Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot

CoRR, 2015

Decision Tree Algorithms for the Contextual Bandit Problem.

Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot

CoRR, 2015

Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models.

Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot, Fabrice Rossi

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits.

Pratik Gajane, Tanguy Urvoy, Fabrice Clérot

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Parameter-Free Approach for Mining Robust Sequential Classification Rules.

Elias Egho, Dominique Gay, Marc Boullé, Nicolas Voisine, Fabrice Clérot

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

TESS: Temporal event sequence summarization.

Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering Results.

Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Clustering de séquences d'évènements temporels.

Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot

Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014

2013

Feature Extraction over Multiple Representations for Time Series Classification.

Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot

Proceedings of the New Frontiers in Mining Complex Patterns, 2013

Generic Exploration and K-armed Voting Bandits.

Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Data for Development: the D4D Challenge on Mobile Phone Data

Vincent D. Blondel, Markus Esch, Connie Chan, Fabrice Clérot, Pierre Deville, Etienne Huens, Frédéric Morlot, Zbigniew Smoreda, Cezary Ziemlicki

CoRR, 2012

Toward a New Protocol to Evaluate Recommender Systems.

Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier

Proceedings of the Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012

K-moyennes contraintes par un classifieur. Application à la personnalisation de scores de campagnes.

Vincent Lemaire, Nicolas Creff, Fabrice Clérot

Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

2011

Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid.

Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth

Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

2010

Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams.

Nesrine Gabsi, Fabrice Clérot, Georges Hébrail

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

The Orange Customer Analysis Platform.

Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment.

Vincent Lemaire, Marc Boullé, Fabrice Clérot, Pascal Gouzien

Proceedings of the International Joint Conference on Neural Networks, 2010

Interrogation des résumés de flux de données.

Nesrine Gabsi, Fabrice Clérot, Georges Hébrail

Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009

An approach for handling risk and uncertainty in multiarmed bandit problems.

Stefano Perabò, Fabrice Clérot

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

Résumé hybride de flux de données par échantillonnage et classification automatique.

Nesrine Gabsi, Fabrice Clérot, Georges Hébrail

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

La carte GHSOM comme alternative à la SOM pour l'analyse exploratoire de données.

Françoise Fessant, Fabrice Clérot, Pascal Gouzien

Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009

An Hybrid Data Stream Summarizing Approach by Sampling and Clustering.

Nesrine Gabsi, Fabrice Clérot, Georges Hébrail

Proceedings of the Advances in Knowledge Discovery and Management [Best of EGC 2009, 2009

2008

Vers l'exploitation de grandes masses de données.

Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant

Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

A Near Optimal Policy for Channel Allocation in Cognitive Radio.

Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines

Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2007

Summarizing a 3 way relational data stream.

Baptiste Csernel, Fabrice Clérot, Georges Hébrail

Monde des Util. Anal. Données, 2007

Characterizing ADSL customer behaviours by network traffic data-mining.

Françoise Fessant, Joël François, Fabrice Clérot

Ann. des Télécommunications, 2007

Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis.

Françoise Fessant, Vincent Lemaire, Fabrice Clérot

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Vers l'échantillonnage d'un entrepôt de données.

Raphaël Féraud, Fabrice Clérot

Proceedings of the Actes des 3èmes journées francophones sur les Entrepôts de Données et l'Analyse en ligne, 2007

2006

Arbres de Décision Multi-Modes et Multi-Cibles.

Frank Meyer, Fabrice Clérot

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Une approche simple inspirée des réseaux sociaux pour la hiérarchisation des systèmes autonomes de l'Internet.

Fabrice Clérot, Quang Nguyen

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Recherche en temps réel de préfixes massifs hiérarchiques dans un réseau IP à l'aide de techniques de stream mining.

Pascal Cheung-Mon-Chan, Fabrice Clérot

Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs.

Françoise Fessant, Fabrice Clérot

Proceedings of the 2006 International Conference on Data Mining, 2006

An Input Variable Importance Definition based on Empirical Data Probability Distribution.

Vincent Lemaire, Fabrice Clérot

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

The Many Faces of a Kohonen Map A Case Study: SOM-based Clustering for On-Line Fraud Behavior Classification.

Vincent Lemaire, Fabrice Clérot

Proceedings of the Classification and Clustering for Knowledge Discovery, 2005

Améliorer la découverte de chroniques par une découpe intelligente d'un log d'alarmes.

Françoise Fessant, Christophe Dousson, Fabrice Clérot

Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

2004

A flow-based approach to modeling ADSL traffic on an IP backbone link.

Nadia Ben Azzouna, Fabrice Clérot, Christine Fricker, Fabrice Guillemin

Ann. des Télécommunications, 2004

Mining of an Alarm Log to Improve the Discovery of Frequent Patterns.

Françoise Fessant, Fabrice Clérot, Christophe Dousson

Proceedings of the Advances in Data Mining, 2004

2002

A methodology to explain neural network classification.

Raphaël Féraud, Fabrice Clérot

Neural Networks, 2002

SOM-Based Clustering for On-Line Fraud Behavior Classification: A Case study.

Vincent Lemaire, Fabrice Clérot

Proceedings of the FSDK'02, 2002

2000

A New Method to Increase the Margin of Multilayer Perceptrons.

Vincent Lemaire, Olivier Bernier, Daniel Collobert, Fabrice Clérot

Neural Process. Lett., 2000

Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network.

Raphaël Féraud, Fabrice Clérot, Jean-Louis Simon, Daniel Pallou, Cyril Labbé, Serge Martin

Proceedings of the NETWORKING 2000, 2000

Wavelength Converters for Deflection Routing Networks.

Thierry Chich, Fabrice Clérot

Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000), 2000

1997

Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction.

Fabrice Clérot, Pascal Gouzien, Samy Bengio, Annie Gravey, Daniel Collobert

Proceedings of the Performance Analysis of ATM Networks, 1997