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Françoise Fessant
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2020 – today
- 2024
- [c26]Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard:
Voir le processus de création d'exemples contrefactuels comme une source de connaissance - Application au classifieur Naïf de Bayes. EGC 2024: 47-58 - [c25]Vincent Lemaire, Nathan Le Boudec, Victor Guyomard, Françoise Fessant:
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers. IJCNN 2024: 1-8 - 2023
- [c24]Victor Guyomard, François Wallyn, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Visualiser des explications contrefactuelles pour des données tabulaires. EGC 2023: 557-564 - [c23]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Interactive Visualization of Counterfactual Explanations for Tabular Data. ECML/PKDD (7) 2023: 330-334 - [c22]Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier:
Generating Robust Counterfactual Explanations. ECML/PKDD (3) 2023: 394-409 - [i5]Victor Guyomard, Françoise Fessant, Thomas Guyet
, Tassadit Bouadi, Alexandre Termier:
Generating robust counterfactual explanations. CoRR abs/2304.12943 (2023) - [i4]Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard:
Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier. CoRR abs/2309.04284 (2023) - 2022
- [c21]Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet:
Générer des explications contrefactuelles à l'aide d'un autoencodeur supervisé. EGC 2022: 111-122 - [c20]Victor Guyomard, Françoise Fessant, Thomas Guyet
VCNet: A Self-explaining Model for Realistic Counterfactual Generation. ECML/PKDD (1) 2022: 437-453 - [i3]Victor Guyomard, Françoise Fessant, Thomas Guyet
VCNet: A self-explaining model for realistic counterfactual generation. CoRR abs/2212.10847 (2022) - 2021
- [c19]Victor Guyomard, Françoise Fessant, Tassadit Bouadi, Thomas Guyet
Post-hoc Counterfactual Generation with Supervised Autoencoder. PKDD/ECML Workshops (1) 2021: 105-114 - 2020
- [j5]Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy in trajectory micro-data publishing: a survey. Trans. Data Priv. 13(2): 91-149 (2020) - [c18]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
- [i2]Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy of trajectory micro-data : a survey. CoRR abs/1903.12211 (2019) - 2017
- [c17]Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia:
Co-clustering for Microdata Anonymization. DEXA (1) 2017: 343-351 - [c16]Françoise Fessant, Tarek Benkhelif, Fabrice Clérot:
Anonymiser des données multidimensionnelles à l'aide du coclustering. EGC 2017: 153-164 - [c15]Tarek Benkhelif, Françoise Fessant, Fabrice Clérot, Guillaume Raschia:
Co-clustering for Differentially Private Synthetic Data Generation. PAP@PKDD/ECML 2017: 36-47 - 2012
- [c14]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. RUE@RecSys 2012: 9-14 - [i1]Frank Meyer, Françoise Fessant, Fabrice Clérot, Éric Gaussier:
Toward a New Protocol to Evaluate Recommender Systems. CoRR abs/1209.1983 (2012) - 2011
- [c13]Frank Meyer, Françoise Fessant:
Reperio: A Generic and Flexible Industrial Recommender System. Web Intelligence 2011: 502-505 - 2010
- [j4]Damien Poirier, Françoise Fessant, Isabelle Tellier:
From opinion classification to recommendations: How texts from a social network can help. Trait. Autom. des Langues 51(3): 19-46 (2010) - [c12]Françoise Fessant, Aurélie Le Cam, Marc Boullé, Raphaël Féraud:
Modelling Complex Data by Learning Which Variable to Construct. DaWak 2010: 324-335 - [c11]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire:
The Orange Customer Analysis Platform. ICDM 2010: 584-594 - [c10]Damien Poirier, Isabelle Tellier, Françoise Fessant, Julien Schluth:
Towards text-based recommendations. RIAO 2010: 136-137 - [c9]Damien Poirier, Françoise Fessant, Isabelle Tellier:
Reducing the Cold-Start Problem in Content Recommendation through Opinion Classification. Web Intelligence 2010: 204-207
2000 – 2009
- 2009
- [c8]Françoise Fessant, Fabrice Clérot, Pascal Gouzien:
La carte GHSOM comme alternative à la SOM pour l'analyse exploratoire de données. EGC 2009: 19-24 - [p1]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 - 2008
- [c7]Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant:
Vers l'exploitation de grandes masses de données. EGC 2008: 241-252 - [c6]Laurent Candillier, Frank Meyer, Françoise Fessant:
Designing Specific Weighted Similarity Measures to Improve Collaborative Filtering Systems. ICDM 2008: 242-255 - 2007
- [j3]Françoise Fessant, Joël François, Fabrice Clérot:
Characterizing ADSL customer behaviours by network traffic data-mining. Ann. des Télécommunications 62(3-4): 350-368 (2007) - [c5]Françoise Fessant, Vincent Lemaire, Fabrice Clérot:
Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis. GfKl 2007: 343-354 - 2006
- [c4]Françoise Fessant, Fabrice Clérot:
An efficient SOM-based pre-processing to improve the discovery of frequent patterns in alarm logs. DMIN 2006: 276-282 - 2005
- [c3]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 - 2004
- [c2]Françoise Fessant, Fabrice Clérot, Christophe Dousson:
Mining of an Alarm Log to Improve the Discovery of Frequent Patterns. ICDM 2004: 144-152 - 2002
- [j2]Françoise Fessant, Sophie Midenet:
Self-Organising Map for Data Imputation and Correction in Surveys. Neural Comput. Appl. 10(4): 300-310 (2002) - 2001
- [c1]Françoise Fessant, Patrice Aknin, Latifa Oukhellou
Comparison of Supervised Self-Organizing Maps Using Euclidian or Mahalanobis Distance in Classification Context. IWANN (1) 2001: 637-644
1990 – 1999
- 1996
- [j1]Samy Bengio, Françoise Fessant, Daniel Collobert:
Use of Modular Architectures for Time Series Prediction. Neural Process. Lett. 3(2): 101-106 (1996)
Coauthor Index
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