Vincent Lemaire
Orcid: 0000-0002-6030-2356Affiliations:
- Orange Labs, Lannion, France
According to our database1,
Vincent Lemaire
authored at least 118 papers
between 1998 and 2024.
Collaborative distances:
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Bibliography
2024
Mach. Learn., September, 2024
Data Min. Knowl. Discov., July, 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark.
CoRR, 2024
CoRR, 2024
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment.
CoRR, 2024
Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2024
Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations.
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.
Proceedings of the Extraction et Gestion des Connaissances, 2024
2023
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts.
Mach. Learn., December, 2023
Viewing the process of generating counterfactuals as a source of knowledge - Application to the Naive Bayes classifier.
CoRR, 2023
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.
Proceedings of the International Joint Conference on Neural Networks, 2023
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.
Proceedings of the Extraction et Gestion des Connaissances, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
SIGKDD Explor., 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
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.
Proceedings of the Extraction et Gestion des Connaissances, 2022
Proceedings of the Extraction et Gestion des Connaissances, 2022
Progressive prediction of hospitalisation and patient disposition in the emergency department.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
2021
CoRR, 2021
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
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021
2020
CoRR, 2020
On the intrinsic robustness of some leading classifiers and symetric loss function - an empirical evaluation.
CoRR, 2020
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
Proceedings of the Extraction et Gestion des Connaissances, 2020
Sélections simultanées de variables et de représentations pour la classification de séries temporelles.
Proceedings of the Extraction et Gestion des Connaissances, 2020
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020
2019
Should we Reload Time Series Classification Performance Evaluation ? (a position paper).
CoRR, 2019
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.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Extraction et Gestion des connaissances, 2019
FEARS: a Feature and Representation Selection approach for Time Series Classification.
Proceedings of The 11th Asian Conference on Machine Learning, 2019
2018
PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire.
Proceedings of the Extraction et Gestion des Connaissances, 2018
Proceedings of the Extraction et Gestion des Connaissances, 2018
Seamless Optical Path Restoration with Just-in-Time Resource Allocation Leveraging Machine Learning.
Proceedings of the European Conference on Optical Communication, 2018
2017
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017
Proceedings of the European Conference on Optical Communication, 2017
2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 16ème Journées Francophones Extraction et Gestion des Connaissances, 2016
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.
Mach. Learn., 2015
Increasing loyalty using predictive modeling in Business-to-Business Telecommunication.
CoRR, 2015
How to select information that matters: a comparative study on active learning strategies for classification.
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
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.
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.
Proceedings of the Advances in Knowledge Discovery and Management, 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the 14èmes Journées Francophones Extraction et Gestion des Connaissances, 2014
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
Proceedings of the Analysis of Large and Complex Data, 2014
Proceedings of the Business Intelligence - 4th European Summer School, 2014
2013
Proceedings of the Statistical Models for Data Analysis, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Extraction et gestion des connaissances (EGC'2013), Actes, 29 janvier, 2013
Proceedings of the Data Science, 2013
2012
Proceedings of the Unsupervised and Transfer Learning, 2012
K-moyennes contraintes par un classifieur. Application à la personnalisation de scores de campagnes.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012
2011
Proceedings of the Active Learning and Experimental Design workshop, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
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.
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010
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.
SIGKDD Explor., 2009
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009
Exploration des corrélations dans un classifieur - Application au placement d'offres commerciales.
Proceedings of the Extraction et gestion des connaissances (EGC'2009), 2009
2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
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.
Int. J. Imaging Syst. Technol., 2007
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.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007
2006
Proceedings of the Advances in Machine Vision, 2006
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.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Effective Organization and Visualization of Web Search Results.
Proceedings of the IASTED International Conference on Internet and Multimedia Systems and Applications, 2006
Proceedings of the Apprentissage Artificiel et Fouille de Données, 2006
An Input Variable Importance Definition based on Empirical Data Probability Distribution.
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.
Proceedings of the Classification and Clustering for Knowledge Discovery, 2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
2004
An input variable importance definition based on empirical data probability and its use in variable selection.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
2002
SOM-Based Clustering for On-Line Fraud Behavior Classification: A Case study.
Proceedings of the FSDK'02, 2002
2000
Neural Process. Lett., 2000
1998
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998