Vincent Lemaire

167 papers A* 3B 26C 2Journal 51Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 10th ECML PKDD Workshop, AALTD 2025, Porto, Portugal, September 19, 2025, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2026	J	`jnl`	Early Classification of Time Series in Non-Stationary Cost Regimes. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2026	J	`jnl`	Temporal Sepsis Modeling: a Fully Interpretable Relational Way. CoRR Vincent Lemaire, Nédra Meloulli, Pierre Jaquet
2025	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9-13, 2024, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Georgiana Ifrim, Anthony J. Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard
2025	—	`conf`	Apprentissage multi-labels et multi-tâches en continu pour données tabulaires: proposition d'un protocole de création de tâches et évaluation de classifieurs. EGC Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau
2025	B	`conf`	Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries. DSAA Aurélien Renault, Dominique Gay, Noureddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu
2025	—	`conf`	Calibration des modèles d'apprentissage pour l'amélioration des détecteurs automatiques d'exemples mal-étiquetés. EGC Ilies Chibane, Thomas George, Pierre Nodet, Vincent Lemaire
2025	J	`jnl`	Calibration improves detection of mislabeled examples. CoRR Ilies Chibane, Thomas George, Pierre Nodet, Vincent Lemaire
2025	—	`conf`	Construction non-supervisée de variables pour la détection d'anomalies dans les séries temporelles. EGC Marine Hamon, Vincent Lemaire, Noureddine Yassine Nair Benrekia, Samuel Berlemont, Julien Cumin
2025	—	`conf`	DEMAU: Decompose, Explore, Model & Analyse Uncertainties. EGC Arthur Hoarau, Vincent Lemaire
2025	J	`jnl`	Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2025	J	`jnl`	Early Classification of Time Series: A Survey and Benchmark. Trans. Mach. Learn. Res. Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2025	J	`jnl`	Frugal AI: Introduction, Concepts, Development and Open Questions. SIGKDD Explor. Ludovic Arga, François Bélorgey, Arnaud Braud, Romain Carbou, Nathalie Charbonniaud, Catherine Colomes, Lionel Delphin-Poulat, David Excoffier, Christel Fauché, Thomas George, Frédéric Guyard, Thomas Hassan, Quentin Lampin, Vincent Lemaire, Pierre Nodet, Pawel Piotrowski, Krzysztof Sapiejewski, Emilie Sirvent-Hien, Tamara Tosic
2025	J	`jnl`	Khiops: An End-to-End, Frugal AutoML and XAI Machine Learning Solution for Large, Multi-Table Databases. CoRR Marc Boullé, Nicolas Voisine, Bruno Guerraz, Carine Hue, Felipe Olmos, Vladimir Popescu, Stéphane Gouache, Stéphane Bouget, Alexis Bondu, Luc-Aurélien Gauthier, Noureddine Yacine Nair Benrekia, Fabrice Clérot, Vincent Lemaire
2025	—	`conf`	Khiops: apprentissage automatique sans hyperparamètre. EGC Marc Boullé, Nicolas Voisine, Bruno Guerraz, Carine Hue, Felipe Olmos, Vladimir Popescu, Stéphane Gouache, Stéphane Bouget, Alexis Bondu, Luc-Aurélien Gauthier, Noureddine Yassine Nair Benrekia, Fabrice Clérot, Vincent Lemaire
2025	—	`conf`	Memory Combination-Based Approaches for Multi-label Classification on Non-Stationary Data Streams. IDEAL (2) Xihui Wang, Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire
2025	B	`conf`	Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification. DSAA Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau
2025	J	`jnl`	Unsupervised Feature Construction for Anomaly Detection in Time Series - An Evaluation. CoRR Marine Hamon, Vincent Lemaire, Noureddine Yassine Nair Benrekia, Samuel Berlemont, Julien Cumin
2025	—	`conf`	Unsupervised Feature Construction for Time Series Anomaly Detection - An Evaluation. AALTD@ECML/PKDD Marine Hamon, Vincent Lemaire, Noureddine Yassine Nair Benrekia, Samuel Berlemont, Julien Cumin
2024	J	`jnl`	A practical approach to novel class discovery in tabular data. Data Min. Knowl. Discov. Colin Troisemaine, Alexandre Reiffers-Masson, Stéphane Gosselin, Vincent Lemaire, Sandrine Vaton
2024	B	`conf`	COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification. IEEE Big Data Oumaima Badi, Maxime Devanne, Ali Ismail-Fawaz, Javidan Abdullayev, Vincent Lemaire, Stefano Berretti, Jonathan Weber, Germain Forestier
2024	J	`jnl`	Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment. CoRR Colin Troisemaine, Vincent Lemaire
2024	J	`jnl`	DEMAU: Decompose, Explore, Model and Analyse Uncertainties. CoRR Arthur Hoarau, Vincent Lemaire
2024	J	`jnl`	Early Classification of Time Series: Taxonomy and Benchmark. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2024	J	`jnl`	Evidential uncertainty sampling strategies for active learning. Mach. Learn. Arthur Hoarau, Vincent Lemaire, Yolande Le Gall, Jean-Christophe Dubois, Arnaud Martin
2024	J	`jnl`	Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark. CoRR Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire
2024	J	`jnl`	Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark. Trans. Mach. Learn. Res. Thomas George, Pierre Nodet, Alexis Bondu, Vincent Lemaire
2024	—	`conf`	Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations. EGC Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall
2024	—	`ed.`	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 2024), Vilnius, Lithuania, September 9th, 2024. IAL@PKDD/ECML Mirko Bunse, Marek Herde, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Minh Tuan Pham, Amal Saadallah
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
2024	J	`jnl`	ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. CoRR Aurélien Renault, Youssef Achenchabe, Edouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui
2023	J	`jnl`	A Practical Approach to Novel Class Discovery in Tabular Data. CoRR Colin Troisemaine, Alexandre Reiffers-Masson, Stéphane Gosselin, Vincent Lemaire, Sandrine Vaton
2023	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 7th ECML PKDD Workshop, AALTD 2022, Grenoble, France, September 19-23, 2022, Revised Selected Papers AALTD@ECML/PKDD Thomas Guyet, Georgiana Ifrim, Simon Malinowski, Anthony J. Bagnall, Patrick Schäfer, Vincent Lemaire
2023	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers AALTD@ECML/PKDD Georgiana Ifrim, Romain Tavenard, Anthony J. Bagnall, Patrick Schäfer, Simon Malinowski, Thomas Guyet, Vincent Lemaire
2023	—	`conf`	An Efficient Shapley Value Computation for the Naive Bayes Classifier. PKDD/ECML Workshops (1) Vincent Lemaire, Fabrice Clérot, Marc Boullé
2023	J	`jnl`	An Efficient Shapley Value Computation for the Naive Bayes Classifier. CoRR Vincent Lemaire, Fabrice Clérot, Marc Boullé
2023	—	`conf`	An Interactive Interface for Novel Class Discovery in Tabular Data. ECML/PKDD (7) Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire
2023	J	`jnl`	An Interactive Interface for Novel Class Discovery in Tabular Data. CoRR Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Alexandre Reiffers-Masson, Sandrine Vaton, Vincent Lemaire
2023	B	`conf`	Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. IJCNN Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay
2023	J	`jnl`	Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. CoRR Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay
2023	J	`jnl`	Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2023	J	`jnl`	Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. Mach. Learn. Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2023	—	`conf`	Comparaison des valeurs de Shapley et des valeurs du poids de l'évidence dans le cas du classifieur naïf de Bayes. EGC Vincent Lemaire, Fabrice Clérot, Marc Boullé
2023	—	`conf`	Découvrir de nouvelles classes dans des données tabulaires. EGC Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire
2023	J	`jnl`	Evidential uncertainties on rich labels for active learning. CoRR Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall
2023	—	`conf`	Human Activity Segmentation Challenge @ ECML/PKDD'23. AALTD@ECML/PKDD Arik Ermshaus, Patrick Schäfer, Anthony J. Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski
2023	J	`jnl`	Novel Class Discovery: an Introduction and Key Concepts. CoRR Colin Troisemaine, Vincent Lemaire, Stéphane Gosselin, Alexandre Reiffers-Masson, Joachim Flocon-Cholet, Sandrine Vaton
2023	—	`ed.`	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 2023), Torino, Italy, September 22nd, 2023. IAL@PKDD/ECML Mirko Bunse, Barbara Hammer, Georg Krempl, Vincent Lemaire, Alaa Tharwat, Amal Saadallah
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	J	`jnl`	biquality-learn: a Python library for Biquality Learning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2022	—	`conf`	A Method for Discovering Novel Classes in Tabular Data. ICKG Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire
2022	J	`jnl`	A Method for Discovering Novel Classes in Tabular Data. CoRR Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire
2022	—	`conf`	Construction de variables à l'aide de classifieurs comme aide à la régression : une évaluation empirique. EGC Colin Troisemaine, Vincent Lemaire
2022	J	`jnl`	Découvrir de nouvelles classes dans des données tabulaires. CoRR Colin Troisemaine, Joachim Flocon-Cholet, Stéphane Gosselin, Sandrine Vaton, Alexandre Reiffers-Masson, Vincent Lemaire
2022	J	`jnl`	ECOTS: Early Classification in Open Time Series. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2022	B	`conf`	Early and Revocable Time Series Classification. IJCNN Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. CoRR Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
2022	J	`jnl`	Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
2022	—	`ed.`	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), Bilbao, Spain, September 13, 2021. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Andreas Holzinger, Barbara Hammer
2022	B	`conf`	Progressive prediction of hospitalisation and patient disposition in the emergency department. IEEE Big Data Laura Uhl, Vincent Augusto, Vincent Lemaire, Youenn Alexandre, Fanny Jardinaud, Paolo Bercelli, Saber Aloui
2022	—	`conf`	Repondération Préférentielle pour l'Apprentissage Biqualité. EGC Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2022	C	`conf`	When to Classify Events in Open Times Series? ACML Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Bilbao, Spain, September 13, 2021, Revised Selected Papers AALTD@ECML/PKDD Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2021	J	`jnl`	Construction de variables à l'aide de classifieurs comme aide à la régression. CoRR Colin Troisemaine, Vincent Lemaire
2021	—	`conf`	Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2021	J	`jnl`	Contrastive Representations for Label Noise Require Fine-Tuning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2021	J	`jnl`	Early Classification of Time Series is Meaningful. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	B	`conf`	Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	J	`jnl`	Early and Revocable Time Series Classification. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2021	—	`conf`	Evidential Nearest Neighbours in Active Learning. IAL@PKDD/ECML Daniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe Dubois, Vincent Lemaire
2021	—	`ed.`	Extraction et Gestion des Connaissances, EGC 2021, 25-29 Janvier 2021, Montpellier, France. EGC Jérôme Azé, Vincent Lemaire
2021	B	`conf`	From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2021	B	`conf`	Importance Reweighting for Biquality Learning. IJCNN Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2021	—	`conf`	Interpretable Feature Construction for Time Series Extrinsic Regression. PAKDD (1) Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé
2021	J	`jnl`	Interpretable Feature Construction for Time Series Extrinsic Regression. CoRR Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé
2021	—	`conf`	Multi-Label kNN classifier with Online Dual Memory on data stream. ICDM (Workshops) Xihui Wang, Pascale Kuntz, Frank Meyer, Vincent Lemaire
2020	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers AALTD@PKDD/ECML Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard
2020	—	`ed.`	Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020, Revised Selected Papers AALTD@PKDD/ECML Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Thomas Guyet, Romain Tavenard, Georgiana Ifrim
2020	—	`conf`	Apprentissage par renforcement de stratégies d'apprentissage actif : une évaluation. EGC Louis Desreumaux, Vincent Lemaire
2020	J	`jnl`	From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
2020	J	`jnl`	Importance Reweighting for Biquality Learning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
2020	—	`conf`	Learning Active Learning at the Crossroads? Evaluation and Discussion. IAL@PKDD/ECML Louis Desreumaux, Vincent Lemaire
2020	J	`jnl`	Learning active learning at the crossroads? evaluation and discussion. CoRR Louis Desreumaux, Vincent Lemaire
2020	B	`conf`	Multivariate Time Series Classification: A Relational Way. DaWaK Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot
2020	J	`jnl`	On the intrinsic robustness of some leading classifiers and symetric loss function - an empirical evaluation. CoRR Hugo Le Baher, Vincent Lemaire, Romain Trinquart
2020	J	`jnl`	Predictive K-means with local models. CoRR Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols, Dominique Gay
2020	—	`ed.`	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), Ghent, Belgium, September 14th, 2020. IAL@PKDD/ECML Daniel Kottke, Georg Krempl, Vincent Lemaire, Andreas Holzinger, Adrian Calma
2020	—	`conf`	Sélections simultanées de variables et de représentations pour la classification de séries temporelles. EGC Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka
2019	—	`conf`	Apprentissage fédératif pour la prédiction du churn : une évaluation. EGC Sébastien Godard, Nicolas Voisine, Tanguy Urvoy, Vincent Lemaire
2019	C	`conf`	FEARS: a Feature and Representation Selection approach for Time Series Classification. ACML Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka
2019	B	`conf`	Graph2Bots, Unsupervised Assistance for Designing Chatbots. SIGdial Jean Léon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina Maria Rojas-Barahona, Vincent Lemaire
2019	—	`conf`	Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data. AALTD@PKDD/ECML Vincent Lemaire, Fabien Boitier, Jelena Pesic, Alexis Bondu, Stéphane Ragot, Fabrice Clérot
2019	J	`jnl`	Should we Reload Time Series Classification Performance Evaluation ? (a position paper). CoRR Dominique Gay, Vincent Lemaire
2019	—	`conf`	Toward a Framework for Seasonal Time Series Forecasting Using Clustering. IDEAL (1) Colin Leverger, Simon Malinowski, Thomas Guyet, Vincent Lemaire, Alexis Bondu, Alexandre Termier
2018	—	`conf`	Apport des modèles locaux pour les K-moyennes prédictives. EGC Vincent Lemaire, Oumaima Alaoui Ismaili
2018	J	`jnl`	Day-ahead time series forecasting: application to capacity planning. CoRR Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet, Laurence Rozé
2018	—	`conf`	PerForecast : un outil de prévision de l'évolution de séries temporelles pour le planning capacitaire. EGC Colin Leverger, Régis Marguerie, Vincent Lemaire, Thomas Guyet, Simon Malinowski
2018	—	`ed.`	Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), Dublin, Ireland, September 10th, 2018. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Daniel Kottke, Adrian Calma, Andreas Holzinger, Robi Polikar, Bernhard Sick
2018	—	`conf`	Seamless Optical Path Restoration with Just-in-Time Resource Allocation Leveraging Machine Learning. ECOC Fabien Boitier, Jelena Pesic, Vincent Lemaire, Eric Dutisseuil, José Manuel Estarán Tolosa, Philippe Jennevé, Nicolas Le Moing, Haïk Mardoyan, Patricia Layec
2017	—	`conf`	Proactive Fiber Damage Detection in Real-time Coherent Receiver. ECOC Fabien Boitier, Vincent Lemaire, Jelena Pesic, Lucia Chavarría, Patricia Layec, Sébastien Bigo, Eric Dutisseuil
2017	—	`ed.`	Proceedings of the Workshop and Tutorial on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. IAL@PKDD/ECML Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick, Daniel Kottke, Adrian Calma
2017	—	`conf`	Un critère d'évaluation pour les K-moyennes prédictives. EGC Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2016	—	`conf`	Analyse exploratoire par k-Coclustering avec Khiops CoViz. EGC Bruno Guerraz, Marc Boullé, Dominique Gay, Vincent Lemaire, Fabrice Clérot
2016	—	`conf`	Improving the Prediction Cost of Drift Handling Algorithms by Abstaining. ICDM Workshops Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, Marcin Detyniecki
2016	—	`ed.`	Proceedings of the Workshop on Active Learning: Applications, Foundations and Emerging Trends co-located with International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2016), Graz, Austria, October 18, 2016. AL@iKNOW Georg Krempl, Vincent Lemaire, Edwin Lughofer, Daniel Kottke
2016	—	`conf`	Une méthode supervisée pour initialiser les centres des K-moyennes. EGC Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2015	B	`conf`	An initialization scheme for supervized K-means. IJCNN Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols
2015	B	`conf`	Concept drift detection using supervised bivariate grids. IJCNN Christophe Salperwyck, Marc Boullé, Vincent Lemaire
2015	—	`conf`	Feedback - Study and Improvement of the Random Forest of the Mahout library in the context of marketing data of Orange. EGC Cedric Thao, Nicolas Voisine, Vincent Lemaire, Romain Trinquart
2015	—	`conf`	How to select information that matters: a comparative study on active learning strategies for classification. I-KNOW Christian Beyer, Georg Krempl, Vincent Lemaire
2015	J	`jnl`	Increasing loyalty using predictive modeling in Business-to-Business Telecommunication. CoRR Patrick Luciano, Ismail Rebai, Vincent Lemaire
2015	—	`conf`	Online Learning of a Weighted Selective Naive Bayes Classifier with Non-convex Optimization. EGC (best of volume) Carine Hue, Marc Boullé, Vincent Lemaire
2015	J	`jnl`	Optimised probabilistic active learning (OPAL) - For fast, non-myopic, cost-sensitive active classification. Mach. Learn. Georg Krempl, Daniel Kottke, Vincent Lemaire
2014	—	`conf`	A Supervised Methodology to Measure the Variables Contribution to a Clustering. ICONIP (1) Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2014	—	`conf`	A Survey on Supervised Classification on Data Streams. eBISS Vincent Lemaire, Christophe Salperwyck, Alexis Bondu
2014	—	`conf`	Apprentissage incrémental anytime d'un classifieur Bayésien naïf pondéré. EGC Carine Hue, Marc Boullé, Vincent Lemaire
2014	—	`conf`	Classifieur naïf de Bayes pondéré pour flux de données. EGC Christophe Salperwyck, Vincent Lemaire, Carine Hue
2014	B	`conf`	Design of the first neuronal connectomics challenge: From imaging to connectivity. IJCNN Isabelle Guyon, Demian Battaglia, Alice Guyon, Vincent Lemaire, Javier G. Orlandi, Bisakha Ray, Mehreen Saeed, Jordi Soriano, Alexander R. Statnikov, Olav Stetter
2014	—	`conf`	First Connectomics Challenge: From Imaging to Connectivity. Neural Connectomics Javier G. Orlandi, Bisakha Ray, Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Mehreen Saeed, Alexander R. Statnikov, Olav Stetter, Jordi Soriano
2014	J	`jnl`	Open challenges for data stream mining research. SIGKDD Explor. Georg Krempl, Indre Zliobaite, Dariusz Brzezinski, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
2014	—	`conf`	Supervised Pre-processings Are Useful for Supervised Clustering. ECDA Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornuéjols
2013	—	`ch.`	A Two Layers Incremental Discretization Based on Order Statistics. Statistical Models for Data Analysis Christophe Salperwyck, Vincent Lemaire
2013	B	`conf`	Active learning in the real-world design and analysis of the Nomao challenge. IJCNN Laurent Candillier, Vincent Lemaire
2013	—	`conf`	Grille bivariée pour la détection de changement dans un flux étiqueté. EGC Christophe Salperwyck, Marc Boullé, Vincent Lemaire
2013	—	`conf`	Incremental Weighted Naive Bays Classifiers for Data Stream. ECDA Christophe Salperwyck, Vincent Lemaire, Carine Hue
2013	B	`conf`	Incremental decision tree based on order statistics. IJCNN Christophe Salperwyck, Vincent Lemaire
2012	J	`jnl`	Analysis of the IJCNN 2011 UTL challenge. Neural Networks Isabelle Guyon, Gideon Dror, Vincent Lemaire, Daniel L. Silver, Graham W. Taylor, David W. Aha
2012	—	`conf`	ICML2011 Unsupervised and Transfer Learning Workshop. ICML Unsupervised and Transfer Learning Daniel L. Silver, Isabelle Guyon, Graham W. Taylor, Gideon Dror, Vincent Lemaire
2012	—	`conf`	K-moyennes contraintes par un classifieur. Application à la personnalisation de scores de campagnes. EGC Vincent Lemaire, Nicolas Creff, Fabrice Clérot
2012	—	`ed.`	Unsupervised and Transfer Learning - Workshop held at ICML 2011, Bellevue, Washington, USA, July 2, 2011 ICML Unsupervised and Transfer Learning Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, Daniel L. Silver
2011	—	`ed.`	Active Learning and Experimental Design workshop, In conjunction with AISTATS 2010, Sardinia, Italy, May 16, 2010 Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire, Alexander R. Statnikov
2011	B	`conf`	Learning with few examples: An empirical study on leading classifiers. IJCNN Christophe Salperwyck, Vincent Lemaire
2011	—	`conf`	Results of the Active Learning Challenge. Active Learning and Experimental Design @ AISTATS Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2011	B	`conf`	Unsupervised and transfer learning challenge. IJCNN Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha
2010	B	`conf`	A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. IJCNN Vincent Lemaire, Marc Boullé, Fabrice Clérot, Pascal Gouzien
2010	J	`jnl`	A non-parametric semi-supervised discretization method. Knowl. Inf. Syst. Alexis Bondu, Marc Boullé, Vincent Lemaire
2010	—	`conf`	Classification incrémentale supervisée : un panel introductif. AAFD Christophe Salperwyck, Vincent Lemaire
2010	B	`conf`	Design and analysis of the WCCI 2010 active learning challenge. IJCNN Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire
2010	B	`conf`	Exploration vs. exploitation in active learning : A Bayesian approach. IJCNN Alexis Bondu, Vincent Lemaire, Marc Boullé
2010	A*	`conf`	The Orange Customer Analysis Platform. ICDM Raphaël Féraud, Marc Boullé, Fabrice Clérot, Françoise Fessant, Vincent Lemaire
2010	—	`conf`	Une nouvelle stratégie d'apprentissage Bayésienne. EGC Alexis Bondu, Vincent Lemaire, Marc Boullé
2009	—	`conf`	Analysis of the KDD Cup 2009: Fast Scoring on a Large Orange Customer Database. KDD Cup Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel
2009	J	`jnl`	Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database. SIGKDD Explor. Isabelle Guyon, Vincent Lemaire, Marc Boullé, Gideon Dror, David Vogel
2009	—	`conf`	Exploration des corrélations dans un classifieur - Application au placement d'offres commerciales. EGC Vincent Lemaire, Carine Hue
2009	—	`ed.`	Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009 KDD Cup Gideon Dror, Marc Boullé, Isabelle Guyon, Vincent Lemaire, David Vogel
2008	A*	`conf`	A Non-parametric Semi-supervised Discretization Method. ICDM Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval
2008	B	`conf`	Adaptive curiosity for emotions detection in speech. IJCNN Alexis Bondu, Vincent Lemaire
2008	B	`conf`	Contact personalization using a score understanding method. IJCNN Vincent Lemaire, Raphaël Féraud, Nicolas Voisine
2008	—	`book`	Data MiningExploration, Sélection, Compréhension. Vincent Lemaire
2007	A*	`conf`	Active Learning Strategies: A Case Study for Detection of Emotions in Speech. ICDM Alexis Bondu, Vincent Lemaire, Barbara Poulain
2007	—	`conf`	Apprentissage actif d'émotions dans les dialogues Homme-Machine. EGC Alexis Bondu, Vincent Lemaire, Barbara Poulain
2007	—	`conf`	Combining Several SOM Approaches in Data Mining: Application to ADSL Customer Behaviours Analysis. GfKl Françoise Fessant, Vincent Lemaire, Fabrice Clérot
2007	J	`jnl`	Learning invariants to illumination changes typical of indoor environments: Application to image color correction. Int. J. Imaging Syst. Technol. Benedicte Bascle, Olivier Bernier, Vincent Lemaire
2007	—	`conf`	Une méthode d'interprétation de scores. EGC Vincent Lemaire, Raphaël Féraud
2006	—	`conf`	A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination. ICONIP (2) Benedicte Bascle, Olivier Bernier, Vincent Lemaire
2006	—	`ch.`	An Input Variable Importance Definition based on Empirical Data Probability Distribution. Feature Extraction Vincent Lemaire, Fabrice Clérot
2006	—	`conf`	Driven Forward Features Selection: A Comparative Study on Neural Networks. ICONIP (2) Vincent Lemaire, Raphaël Féraud
2006	—	`conf`	Effective Organization and Visualization of Web Search Results. EuroIMSA Nicolas Bonnel, Vincent Lemaire, Alexandre Cotarmanac'h, Annie Morin
2006	—	`conf`	Illumination-Invariant Color Image Correction. IWICPAS Benedicte Bascle, Olivier Bernier, Vincent Lemaire
2006	—	`conf`	État de l'art sur les méthodes statistiques d'apprentissage actif. AAFD Alexis Bondu, Vincent Lemaire
2005	B	`conf`	Individualized HRTFs from few measurements: a statistical learning approach. IJCNN Vincent Lemaire, Fabrice Clérot, Sylvain Busson, Rozenn Nicol, Vincent Choqueuse
2005	—	`ch.`	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 Vincent Lemaire, Fabrice Clérot
2004	B	`conf`	An input variable importance definition based on empirical data probability and its use in variable selection. IJCNN Vincent Lemaire, Fabrice Clérot
2002	—	`conf`	SOM-Based Clustering for On-Line Fraud Behavior Classification: A Case study. FSKD Vincent Lemaire, Fabrice Clérot
2000	J	`jnl`	A New Method to Increase the Margin of Multilayer Perceptrons. Neural Process. Lett. Vincent Lemaire, Olivier Bernier, Daniel Collobert, Fabrice Clérot
1998	—	`conf`	MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time. ICIP (1) Olivier Bernier, Michel Collobert, Raphaël Féraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert