Françoise Fessant

38 papers A* 3B 2Journal 11Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generating Efficiently Realistic Counterfactual Explanations.
Mach. Learn.
Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet
2024 B conf
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers.
IJCNN
Vincent Lemaire, Nathan Le Boudec, Victor Guyomard, Françoise Fessant
2024 — conf
Voir le processus de création d'exemples contrefactuels comme une source de connaissance - Application au classifieur Naïf de Bayes.
EGC
Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard
2023 — conf
Generating Robust Counterfactual Explanations.
ECML/PKDD (3)
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2023 J jnl
Generating robust counterfactual explanations.
CoRR
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2023 — conf
Interactive Visualization of Counterfactual Explanations for Tabular Data.
ECML/PKDD (7)
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2023 J jnl
Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier.
CoRR
Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard
2023 — conf
Visualiser des explications contrefactuelles pour des données tabulaires.
EGC
Victor Guyomard, François Wallyn, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2022 — conf
Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé.
EGC
Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet
2022 — conf
VCNet: A Self-explaining Model for Realistic Counterfactual Generation.
ECML/PKDD (1)
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2022 J jnl
VCNet: A self-explaining model for realistic counterfactual generation.
CoRR
Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
2021 — conf
Post-hoc Counterfactual Generation with Supervised Autoencoder.
PKDD/ECML Workshops (1)
Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet
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 J jnl
Privacy in trajectory micro-data publishing: a survey.
Trans. Data Priv.
Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica
2019 J jnl
Privacy of trajectory micro-data : a survey.
CoRR
Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica
2017 — conf
Anonymiser des données multidimensionnelles à l'aide du coclustering.
EGC
Françoise Fessant, Tarek Benkhelif, Fabrice Clérot
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
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
Reperio: A Generic and Flexible Industrial Recommender System.
Web Intelligence
Frank Meyer, Françoise Fessant
2010 J jnl
From opinion classification to recommendations: How texts from a social network can help.
Trait. Autom. des Langues
Damien Poirier, Françoise Fessant, Isabelle Tellier
2010 B conf
Modelling Complex Data by Learning Which Variable to Construct.
DaWak
Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud
2010 — conf
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification.
Web Intelligence
Damien Poirier, Françoise Fessant, Isabelle Tellier
2010 A* conf
The Orange Customer Analysis Platform.
ICDM
Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire
2010 — conf
Towards text-based recommendations.
RIAO
Damien Poirier, Isabelle Tellier, Françoise Fessant, Julien Schluth
2009 — ch.
Approches Statistique et Linguistique Pour la Classification de Textes d'Opinion Portant sur les Films.
Fouille de Données d'Opinions
Damien Poirier, Françoise Fessant, Cécile Bothorel, Emilie Guimier De Neef, Marc Boullé
2009 — conf
La carte GHSOM comme alternative à la SOM pour l'analyse exploratoire de données.
EGC
Françoise Fessant, Fabrice Clérot, Pascal Gouzien
2008 A* conf
Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems.
ICDM
Laurent Candillier, Frank Meyer, Françoise Fessant
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
2006 — conf
An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs.
DMIN
Françoise Fessant, Fabrice Clérot
2005 — conf
Améliorer la découverte de chroniques par une découpe intelligente d'un log d'alarmes.
EGC (Ateliers)
Françoise Fessant, Christophe Dousson, 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
Self-Organising Map for Data Imputation and Correction in Surveys.
Neural Comput. Appl.
Françoise Fessant, Sophie Midenet
2001 — conf
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context.
IWANN (1)
Françoise Fessant, Patrice Aknin, Latifa Oukhellou, Sophie Midenet
1996 J jnl
Use of Modular Architectures for Time Series Prediction.
Neural Process. Lett.
Samy Bengio, Françoise Fessant, Daniel Collobert