Vincent Lemaire

According to our database, Vincent Lemaire authored at least 116 papers between 1998 and 2024.

Collaborative distances:

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

2024

Evidential uncertainty sampling strategies for active learning.

Arthur Hoarau, Vincent Lemaire, Yolande Le Gall, Jean-Christophe Dubois, Arnaud Martin

Mach. Learn., September, 2024

A practical approach to novel class discovery in tabular data.

Colin Troisemaine, Alexandre Reiffers-Masson, Stéphane Gosselin, Vincent Lemaire, Sandrine Vaton

Data Min. Knowl. Discov., July, 2024

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark.

Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire

CoRR, 2024

DEMAU: Decompose, Explore, Model and Analyse Uncertainties.

Arthur Hoarau, Vincent Lemaire

CoRR, 2024

ml_edm package: a Python toolkit for Machine Learning based Early Decision Making.

Aurélien Renault, Youssef Achenchabe, Edouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui

CoRR, 2024

Early Classification of Time Series: Taxonomy and Benchmark.

Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

CoRR, 2024

Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment.

Colin Troisemaine, Vincent Lemaire

CoRR, 2024

Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers.

Vincent Lemaire, Nathan Le Boudec, Victor Guyomard, Françoise Fessant

Proceedings of the International Joint Conference on Neural Networks, 2024

Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations.

Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the Extraction et Gestion des Connaissances, 2024

Voir le processus de création d'exemples contrefactuels comme une source de connaissance - Application au classifieur Naïf de Bayes.

Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Mach. Learn., December, 2023

Evidential uncertainties on rich labels for active learning.

Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

CoRR, 2023

Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier.

Vincent Lemaire, Nathan Le Boudec, Françoise Fessant, Victor Guyomard

CoRR, 2023

biquality-learn: a Python library for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2023

An Efficient Shapley Value Computation for the Naive Bayes Classifier.

Vincent Lemaire, Fabrice Clérot, Marc Boullé

CoRR, 2023

Novel Class Discovery: an Introduction and Key Concepts.

Colin Troisemaine, Vincent Lemaire, Stéphane Gosselin, Alexandre Reiffers-Masson, Joachim Flocon-Cholet, Sandrine Vaton

CoRR, 2023

An Interactive Interface for Novel Class Discovery in Tabular Data.

Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion.

Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay

Proceedings of the International Joint Conference on Neural Networks, 2023

Découvrir de nouvelles classes dans des données tabulaires.

Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire

Proceedings of the Extraction et Gestion des Connaissances, 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

Human Activity Segmentation Challenge @ ECML/PKDD'23.

Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski

Proceedings of the Advanced Analytics and Learning on Temporal Data, 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

ECOTS: Early Classification in Open Time Series.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

CoRR, 2022

Early and Revocable Time Series Classification.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the International Joint Conference on Neural Networks, 2022

A Method for Discovering Novel Classes in Tabular Data.

Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire

Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Construction de variables à l'aide de classifieurs comme aide à la régression : une évaluation empirique.

Colin Troisemaine, Vincent Lemaire

Proceedings of the Extraction et Gestion des Connaissances, 2022

Repondération Préférentielle pour l'Apprentissage Biqualité.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Extraction et Gestion des Connaissances, 2022

Progressive prediction of hospitalisation and patient disposition in the emergency department.

Laura Uhl, Vincent Augusto, Vincent Lemaire, Youenn Alexandre, Fanny Jardinaud, Paolo Bercelli, Saber Aloui

Proceedings of the IEEE International Conference on Big Data, 2022

When to Classify Events in Open Times Series?

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Construction de variables à l'aide de classifieurs comme aide à la régression.

Colin Troisemaine, Vincent Lemaire

CoRR, 2021

Early Classification of Time Series is Meaningful.

Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

CoRR, 2021

Evidential Nearest Neighbours in Active Learning.

Daniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe Dubois, Vincent Lemaire

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Contrastive Representations for Label Noise Require Fine-Tuning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Interpretable Feature Construction for Time Series Extrinsic Regression.

Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Multi-Label kNN classifier with Online Dual Memory on data stream.

Xihui Wang, Pascale Kuntz, Frank Meyer, Vincent Lemaire

Proceedings of the 2021 International Conference on Data Mining, 2021

From Weakly Supervised Learning to Biquality Learning: an Introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

Proceedings of the International Joint Conference on Neural Networks, 2021

Early Classification of Time Series: Cost-based multiclass Algorithms.

Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020

From Weakly Supervised Learning to Biquality Learning, a brief introduction.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou

CoRR, 2020

Predictive K-means with local models.

Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay

CoRR, 2020

On the intrinsic robustness of some leading classifiers and symetric loss function - an empirical evaluation.

Hugo Le Baher, Vincent Lemaire, Romain Trinquart

CoRR, 2020

Importance Reweighting for Biquality Learning.

Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols

CoRR, 2020

Learning Active Learning at the Crossroads? Evaluation and Discussion.

Louis Desreumaux, Vincent Lemaire

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), 2020

Apprentissage par renforcement de stratégies d'apprentissage actif : une évaluation.

Louis Desreumaux, Vincent Lemaire

Proceedings of the Extraction et Gestion des Connaissances, 2020

Sélections simultanées de variables et de représentations pour la classification de séries temporelles.

Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka

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

Should we Reload Time Series Classification Performance Evaluation ? (a position paper).

Dominique Gay, Vincent Lemaire

CoRR, 2019

Graph2Bots, Unsupervised Assistance for Designing Chatbots.

Jean Léon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina Maria Rojas-Barahona, Vincent Lemaire

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 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

Toward a Framework for Seasonal Time Series Forecasting Using Clustering.

Colin Leverger, Simon Malinowski, Thomas Guyet, Vincent Lemaire, Alexis Bondu, Alexandre Termier

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Apprentissage fédératif pour la prédiction du churn : une évaluation.

Sébastien Godard, Nicolas Voisine, Tanguy Urvoy, Vincent Lemaire

Proceedings of the Extraction et Gestion des connaissances, 2019

FEARS: a Feature and Representation Selection approach for Time Series Classification.

Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Day-ahead time series forecasting: application to capacity planning.

Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet, Laurence Rozé

CoRR, 2018

PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire.

Colin Leverger, Régis Marguerie, Vincent Lemaire, Thomas Guyet, Simon Malinowski

Proceedings of the Extraction et Gestion des Connaissances, 2018

Apport des modèles locaux pour les K-moyennes prédictives.

Vincent Lemaire, Oumaima Alaoui Ismaili

Proceedings of the Extraction et Gestion des Connaissances, 2018

Seamless Optical Path Restoration with Just-in-Time Resource Allocation Leveraging Machine Learning.

Fabien Boitier, Jelena Pesic, Vincent Lemaire, Eric Dutisseuil, José Manuel Estarán Tolosa, Philippe Jennevé, Nicolas Le Moing, Haïk Mardoyan, Patricia Layec

Proceedings of the European Conference on Optical Communication, 2018

2017

Un critère d'évaluation pour les K-moyennes prédictives.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

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

Proactive Fiber Damage Detection in Real-time Coherent Receiver.

Fabien Boitier, Vincent Lemaire, Jelena Pesic, Lucia Chavarría, Patricia Layec, Sébastien Bigo, Eric Dutisseuil

Proceedings of the European Conference on Optical Communication, 2017

2016

Improving the Prediction Cost of Drift Handling Algorithms by Abstaining.

Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, Marcin Detyniecki

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Une méthode supervisée pour initialiser les centres des K-moyennes.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

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

2015

Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification.

Georg Krempl, Daniel Kottke, Vincent Lemaire

Mach. Learn., 2015

Increasing loyalty using predictive modeling in Business-to-Business Telecommunication.

Patrick Luciano, Ismail Rebai, Vincent Lemaire

CoRR, 2015

How to select information that matters: a comparative study on active learning strategies for classification.

Christian Beyer, Georg Krempl, Vincent Lemaire

Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015

Concept drift detection using supervised bivariate grids.

Christophe Salperwyck, Marc Boullé, Vincent Lemaire

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

An initialization scheme for supervized K-means.

Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Feedback - Study and Improvement of the Random Forest of the Mahout library in the context of marketing data of Orange.

Cedric Thao, Nicolas Voisine, Vincent Lemaire, Romain Trinquart

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization.

Carine Hue, Marc Boullé, Vincent Lemaire

Proceedings of the Advances in Knowledge Discovery and Management, 2015

2014

Open challenges for data stream mining research.

Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski

SIGKDD Explor., 2014

Design of the first neuronal connectomics challenge: From imaging to connectivity.

Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Supervised Methodology to Measure the Variables Contribution to a Clustering.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Classifieur naïf de Bayes pondéré pour flux de données.

Christophe Salperwyck, Vincent Lemaire, Carine Hue

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

Apprentissage incrémental anytime d'un classifieur Bayésien naïf pondéré.

Carine Hue, Marc Boullé, Vincent Lemaire

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

First Connectomics Challenge: From Imaging to Connectivity.

Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano

Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

Supervised Pre-processings Are Useful for Supervised Clustering.

Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols

Proceedings of the Analysis of Large and Complex Data, 2014

A Survey on Supervised Classification on Data Streams.

Vincent Lemaire, Christophe Salperwyck, Alexis Bondu

Proceedings of the Business Intelligence - 4th European Summer School, 2014

2013

A Two Layers Incremental Discretization Based on Order Statistics.

Christophe Salperwyck, Vincent Lemaire

Proceedings of the Statistical Models for Data Analysis, 2013

Incremental decision tree based on order statistics.

Christophe Salperwyck, Vincent Lemaire

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Active learning in the real-world design and analysis of the Nomao challenge.

Laurent Candillier, Vincent Lemaire

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Grille bivariée pour la détection de changement dans un flux étiqueté.

Christophe Salperwyck, Marc Boullé, Vincent Lemaire

Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013

Incremental Weighted Naive Bays Classifiers for Data Stream.

Christophe Salperwyck, Vincent Lemaire, Carine Hue

Proceedings of the Data Science, 2013

2012

Nomao.

Laurent Candillier, Vincent Lemaire

Dataset, July, 2012

Analysis of the IJCNN 2011 UTL challenge.

Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha

Neural Networks, 2012

ICML2011 Unsupervised and Transfer Learning Workshop.

Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire

Proceedings of the Unsupervised and Transfer Learning, 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

Results of the Active Learning Challenge.

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire

Proceedings of the Active Learning and Experimental Design workshop, 2011

Learning with few examples: An empirical study on leading classifiers.

Christophe Salperwyck, Vincent Lemaire

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Unsupervised and transfer learning challenge.

Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

A non-parametric semi-supervised discretization method.

Alexis Bondu, Marc Boullé, Vincent Lemaire

Knowl. Inf. Syst., 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

Design and analysis of the WCCI 2010 active learning challenge.

Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire

Proceedings of the International Joint Conference on Neural Networks, 2010

Exploration vs. exploitation in active learning : A Bayesian approach.

Alexis Bondu, Vincent Lemaire, Marc Boullé

Proceedings of the International Joint Conference on Neural Networks, 2010

Une nouvelle stratégie d'apprentissage Bayésienne.

Alexis Bondu, Vincent Lemaire, Marc Boullé

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

Classification incrémentale supervisée : un panel introductif.

Christophe Salperwyck, Vincent Lemaire

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2010

2009

Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database.

Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel

SIGKDD Explor., 2009

Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database.

Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Exploration des corrélations dans un classifieur - Application au placement d'offres commerciales.

Vincent Lemaire, Carine Hue

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

2008

Contact personalization using a score understanding method.

Vincent Lemaire, Raphaël Féraud, Nicolas Voisine

Proceedings of the International Joint Conference on Neural Networks, 2008

Adaptive curiosity for emotions detection in speech.

Alexis Bondu, Vincent Lemaire

Proceedings of the International Joint Conference on Neural Networks, 2008

A Non-parametric Semi-supervised Discretization Method.

Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Learning invariants to illumination changes typical of indoor environments: Application to image color correction.

Benedicte Bascle, Olivier Bernier, Vincent Lemaire

Int. J. Imaging Syst. Technol., 2007

Active Learning Strategies: A Case Study for Detection of Emotions in Speech.

Alexis Bondu, Vincent Lemaire, Barbara Poulain

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

Une méthode d'interprétation de scores.

Vincent Lemaire, Raphaël Féraud

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

Apprentissage actif d'émotions dans les dialogues Homme-Machine.

Alexis Bondu, Vincent Lemaire, Barbara Poulain

Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006

Illumination-Invariant Color Image Correction.

Benedicte Bascle, Olivier Bernier, Vincent Lemaire

Proceedings of the Advances in Machine Vision, 2006

Driven Forward Features Selection: A Comparative Study on Neural Networks.

Vincent Lemaire, Raphaël Féraud

Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination.

Benedicte Bascle, Olivier Bernier, Vincent Lemaire

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Effective Organization and Visualization of Web Search Results.

Nicolas Bonnel, Vincent Lemaire, Alexandre Cotarmanac'h, Annie Morin

Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, 2006

État de l'art sur les méthodes statistiques d'apprentissage actif.

Alexis Bondu, Vincent Lemaire

Proceedings of the Apprentissage Artificiel et Fouille de Données, 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

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

1998

MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time.

Olivier Bernier, Michel Collobert, Raphaël Féraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998