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Fabrice Clérot
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2020 – today
- 2023
- [c49]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 - [i12]Vincent Lemaire, Fabrice Clérot, Marc Boullé:
An Efficient Shapley Value Computation for the Naive Bayes Classifier. CoRR abs/2307.16718 (2023) - 2022
- [j8]Alexis Bondu, Youssef Achenchabe, Albert Bifet
, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau:
Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. 24(2): 12-31 (2022) - [i11]Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau:
Open challenges for Machine Learning based Early Decision-Making research. CoRR abs/2204.13111 (2022) - [i10]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Model Based Co-clustering of Mixed Numerical and Binary Data. CoRR abs/2212.11725 (2022) - [i9]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Co-clustering based exploratory analysis of mixed-type data tables. CoRR abs/2212.11728 (2022) - 2020
- [c48]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. DaWaK 2020: 316-330 - [c47]Françoise Fessant, Fabrice Clérot, Koray Ozbek:
Anonymisation de trajectoires d'appels mobiles à l'aide de modèles en grilles et de chaines de Markov. EGC 2020: 61-72
2010 – 2019
- 2019
- [j7]Emmanuel Vallée, Delphine Charlet, Francesca Galassi, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer:
Unsupervised and weakly supervised approaches for answer selection tasks with scarce annotations. Open Comput. Sci. 9(1): 136-144 (2019) - [c46]Vincent Lemaire, Fabien Boitier, Jelena Pesic, Alexis Bondu, Stéphane Ragot, Fabrice Clérot:
Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data. AALTD@PKDD/ECML 2019: 26-42 - [c45]Emmanuel Vallée, Delphine Charlet, Gabriel Marzinotto, Fabrice Clérot, Frank Meyer:
How to Deal with Scarce Annotations in Answer Selection. SIGIR 2019: 917-920 - [i8]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. CoRR abs/1902.02056 (2019) - 2018
- [c44]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 - [c43]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 - [c42]Marius Barctus, Marc Boullé, Fabrice Clérot:
A two level co-clustering algorithm for very large data sets. EGC 2018: 95-106 - [c41]Aichetou Bouchareb, Marc Boullé, Fabrice Rossi, Fabrice Clérot:
Un modèle Bayésien de co-clustering de données mixtes. EGC 2018: 275-280 - 2017
- [j6]Elias Egho
A user parameter-free approach for mining robust sequential classification rules. Knowl. Inf. Syst. 52(1): 53-81 (2017) - [c40]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 - [c39]Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia:
Co-clustering for Microdata Anonymization. DEXA (1) 2017: 343-351 - [c38]Françoise Fessant, Tarek Benkhelif, Fabrice Clérot:
Anonymiser des données multidimensionnelles à l'aide du coclustering. EGC 2017: 153-164 - [c37]Aichetou Bouchareb, Marc Boullé, Fabrice Clérot, Fabrice Rossi:
Application du coclustering à l'analyse exploratoire d'une table de données. EGC 2017: 177-188 - [c36]Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia:
Co-clustering for Differentially Private Synthetic Data Generation. PAP@PKDD/ECML 2017: 36-47 - 2016
- [c35]Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot:
Random Forest for the Contextual Bandit Problem. AISTATS 2016: 93-101 - [c34]Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot:
Analyse exploratoire par k-Coclustering avec Khiops CoViz. EGC 2016: 493-498 - [i7]Pratik Gajane, Tanguy Urvoy, Fabrice Clérot:
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. CoRR abs/1601.03855 (2016) - [i6]Marc Boullé, Fabrice Clérot, Carine Hue:
Revisiting enumerative two-part crude MDL for Bernoulli and multinomial distributions (Extended version). CoRR abs/1608.05522 (2016) - 2015
- [c33]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
TESS: Temporal event sequence summarization. DSAA 2015: 1-10 - [c32]Elias Egho, Dominique Gay
A Parameter-Free Approach for Mining Robust Sequential Classification Rules. ICDM 2015: 745-750 - [c31]Pratik Gajane, Tanguy Urvoy, Fabrice Clérot:
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits. ICML 2015: 218-227 - [c30]Romain Guigourès, Dominique Gay
Country-Scale Exploratory Analysis of Call Detail Records Through the Lens of Data Grid Models. ECML/PKDD (3) 2015: 37-52 - [i5]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) - [i4]Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy, Fabrice Clérot:
Decision Tree Algorithms for the Contextual Bandit Problem. CoRR abs/1504.06952 (2015) - [i3]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Cats & Co: Categorical Time Series Coclustering. CoRR abs/1505.01300 (2015) - 2014
- [c29]Romain Guigourès, Dominique Gay, Marc Boullé, Fabrice Clérot:
Clustering de séquences d'évènements temporels. EGC 2014: 191-202 - [c28]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 - 2013
- [c27]Tanguy Urvoy, Fabrice Clérot, Raphaël Féraud, Sami Naamane:
Generic Exploration and K-armed Voting Bandits. ICML (2) 2013: 91-99 - [c26]Dominique Gay, Romain Guigourès, Marc Boullé, Fabrice Clérot:
Feature Extraction over Multiple Representations for Time Series Classification. NFMCP 2013: 18-34 - 2012
- [c25]Vincent Lemaire, Nicolas Creff, Fabrice Clérot:
K-moyennes contraintes par un classifieur. Application à la personnalisation de scores de campagnes. EGC 2012: 155-166 - [c24]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. RUE@RecSys 2012: 9-14 - [i2]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. CoRR abs/1209.1983 (2012) - [i1]Vincent D. Blondel, Markus Esch, Connie Chan, Fabrice Clérot, Pierre Deville, Etienne Huens, Frédéric Morlot, Zbigniew Smoreda, Cezary Ziemlicki:
Data for Development: the D4D Challenge on Mobile Phone Data. CoRR abs/1210.0137 (2012) - 2011
- [c23]Frank Meyer, Éric Gaussier, Fabrice Clérot, Julien Schluth:
Apport des données thématiques dans les systèmes de recommandation : hybridation et démarrage à froid. EGC 2011: 215-220 - 2010
- [c22]Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
Interrogation des résumés de flux de données. EGC 2010: 247-254 - [c21]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 - [c20]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire:
The Orange Customer Analysis Platform. ICDM 2010: 584-594 - [c19]Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams. PAKDD (2) 2010: 343-353
2000 – 2009
- 2009
- [c18]Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
An Hybrid Data Stream Summarizing Approach by Sampling and Clustering. EGC (best of volume) 2009: 181-200 - [c17]Françoise Fessant, Fabrice Clérot, Pascal Gouzien:
La carte GHSOM comme alternative à la SOM pour l'analyse exploratoire de données. EGC 2009: 19-24 - [c16]Stefano Perabò, Fabrice Clérot:
An approach for handling risk and uncertainty in multiarmed bandit problems. EGC 2009: 115-126 - [c15]Nesrine Gabsi, Fabrice Clérot, Georges Hébrail:
Résumé hybride de flux de données par échantillonnage et classification automatique. EGC 2009: 229-240 - 2008
- [c14]Sarah Filippi, Olivier Cappé, Fabrice Clérot, Eric Moulines:
A Near Optimal Policy for Channel Allocation in Cognitive Radio. EWRL 2008: 69-81 - [c13]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant:
Vers l'exploitation de grandes masses de données. EGC 2008: 241-252 - 2007
- [j5]Françoise Fessant, Joël François, Fabrice Clérot:
Characterizing ADSL customer behaviours by network traffic data-mining. Ann. des Télécommunications 62(3-4): 350-368 (2007) - [j4]Baptiste Csernel, Fabrice Clérot, Georges Hébrail:
Summarizing a 3 way relational data stream. Monde des Util. Anal. Données 36: 10-13 (2007) - [c12]Raphaël Féraud, Fabrice Clérot:
Vers l'échantillonnage d'un entrepôt de données. EDA 2007: 37-50 - [c11]Françoise Fessant, Vincent Lemaire, Fabrice Clérot:
Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis. GfKl 2007: 343-354 - 2006
- [c10]Françoise Fessant, Fabrice Clérot:
An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs. DMIN 2006: 276-282 - [c9]Pascal Cheung-Mon-Chan, Fabrice Clérot:
Recherche en temps réel de préfixes massifs hiérarchiques dans un réseau IP à l'aide de techniques de stream mining. EGC 2006: 53-58 - [c8]Fabrice Clérot, Quang Nguyen:
Une approche simple inspirée des réseaux sociaux pour la hiérarchisation des systèmes autonomes de l'Internet. EGC 2006: 475-486 - [c7]Frank Meyer, Fabrice Clérot:
Arbres de Décision Multi-Modes et Multi-Cibles. EGC 2006: 541-546 - [p2]Vincent Lemaire, Fabrice Clérot:
An Input Variable Importance Definition based on Empirical Data Probability Distribution. Feature Extraction 2006: 509-516 - 2005
- [c6]Françoise Fessant, Christophe Dousson, Fabrice Clérot:
Améliorer la découverte de chroniques par une découpe intelligente d'un log d'alarmes. EGC (Ateliers) 2005: 223-228 - [p1]Vincent Lemaire, Fabrice Clérot:
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 2005: 1-13 - 2004
- [j3]Nadia Ben Azzouna, Fabrice Clérot, Christine Fricker, Fabrice Guillemin:
A flow-based approach to modeling ADSL traffic on an IP backbone link. Ann. des Télécommunications 59(11-12): 1260-1299 (2004) - [c5]Françoise Fessant, Fabrice Clérot, Christophe Dousson:
Mining of an Alarm Log to Improve the Discovery of Frequent Patterns. ICDM 2004: 144-152 - 2002
- [j2]Raphaël Féraud, Fabrice Clérot:
A methodology to explain neural network classification. Neural Networks 15(1): 237-246 (2002) - [c4]Vincent Lemaire, Fabrice Clérot:
SOM-Based Clustering for On-Line Fraud Behavior Classification: A Case study. FSKD 2002: 576-580 - 2000
- [j1]Vincent Lemaire, Olivier Bernier, Daniel Collobert, Fabrice Clérot:
A New Method to Increase the Margin of Multilayer Perceptrons. Neural Process. Lett. 11(1): 7-15 (2000) - [c3]Thierry Chich, Fabrice Clérot:
Wavelength Converters for Deflection Routing Networks. ISCC 2000: 140-145 - [c2]Raphaël Féraud, Fabrice Clérot, Jean-Louis Simon, Daniel Pallou, Cyril Labbé, Serge Martin:
Kalman and Neural Network Approaches for the Control of a VP Bandwidth in an ATM Network. NETWORKING 2000: 655-666
1990 – 1999
- 1997
- [c1]Fabrice Clérot, Pascal Gouzien, Samy Bengio, Annie Gravey, Daniel Collobert:
Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction. Modelling and Evaluation of ATM Networks 1997: 411-430
Coauthor Index
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