| 2026 | DaWaK | Calibration Improves Detection of Mislabeled Examples. | Ilies Chibane, Thomas George, Pierre Nodet, Vincent Lemaire |
| 2025 | DSAA | Operational Evaluation of Algorithms for Online Streaming Continual Multi-Label Classification. | Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire, Killian Le Mau |
| 2025 | DSAA | Automatic Feature Engineering for Time Series Extrinsic Regression: A Comparative Study of Signal Processing Libraries. | Aurlien Renault, Dominique Gay, Noureddine Yassine Nair Benrekia, Vincent Lemaire, Alexis Bondu |
| 2025 | IDEAL | Memory Combination-Based Approaches for Multi-label Classification on Non-Stationary Data Streams. | Xihui Wang, Hugo Peuzet, Pascale Kuntz, Frank Meyer, Vincent Lemaire |
| 2024 | IJCNN | Viewing the process of generating counterfactuals as a source of knowledge: a new approach for explaining classifiers. | Vincent Lemaire, Nathan Le Boudec, Victor Guyomard, Franoise Fessant |
| 2023 | IJCNN | Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. | Aurlien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay |
| 2022 | ACML | When to Classify Events in Open Times Series? | Youssef Achenchabe, Alexis Bondu, Antoine Cornujols, Vincent Lemaire |
| 2022 | IJCNN | Early and Revocable Time Series Classification. | Youssef Achenchabe, Alexis Bondu, Antoine Cornujols, Vincent Lemaire |
| 2021 | DSAA | Early Classification of Time Series: Cost-based multiclass Algorithms. | Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornujols, Vincent Lemaire |
| 2021 | IJCNN | Importance Reweighting for Biquality Learning. | Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornujols, Adam Ouorou |
| 2021 | IJCNN | From Weakly Supervised Learning to Biquality Learning: an Introduction. | Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornujols, Adam Ouorou |
| 2021 | PAKDD | Interpretable Feature Construction for Time Series Extrinsic Regression. | Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boull |
| 2020 | DaWaK | Multivariate Time Series Classification: A Relational Way. | Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boull, Fabrice Clrot |
| 2019 | ACML | FEARS: a Feature and Representation Selection approach for Time Series Classification. | Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boull, Eole Cervenka |
| 2019 | IDEAL | Toward a Framework for Seasonal Time Series Forecasting Using Clustering. | Colin Leverger, Simon Malinowski, Thomas Guyet, Vincent Lemaire, Alexis Bondu, Alexandre Termier |
| 2019 | SIGdial | Graph2Bots, Unsupervised Assistance for Designing Chatbots. | Jean Lon Bouraoui, Sonia Le Meitour, Romain Carbou, Lina Maria Rojas-Barahona, Vincent Lemaire |
| 2016 | ICDM | Improving the Prediction Cost of Drift Handling Algorithms by Abstaining. | Pierre-Xavier Loeffel, Vincent Lemaire, Christophe Marsala, Marcin Detyniecki |
| 2015 | IJCNN | An initialization scheme for supervized K-means. | Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornujols |
| 2015 | IJCNN | Concept drift detection using supervised bivariate grids. | Christophe Salperwyck, Marc Boull, Vincent Lemaire |
| 2014 | ICONIP | A Supervised Methodology to Measure the Variables Contribution to a Clustering. | Oumaima Alaoui Ismaili, Vincent Lemaire, Antoine Cornujols |
| 2014 | IJCNN | 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 |
| 2013 | IJCNN | Active learning in the real-world design and analysis of the Nomao challenge. | Laurent Candillier, Vincent Lemaire |
| 2013 | IJCNN | Incremental decision tree based on order statistics. | Christophe Salperwyck, Vincent Lemaire |
| 2011 | IJCNN | Unsupervised and transfer learning challenge. | Isabelle Guyon, Gideon Dror, Vincent Lemaire, Graham W. Taylor, David W. Aha |
| 2011 | IJCNN | Learning with few examples: An empirical study on leading classifiers. | Christophe Salperwyck, Vincent Lemaire |
| 2010 | IJCNN | Exploration vs. exploitation in active learning : A Bayesian approach. | Alexis Bondu, Vincent Lemaire, Marc Boull |
| 2010 | IJCNN | Design and analysis of the WCCI 2010 active learning challenge. | Isabelle Guyon, Gavin C. Cawley, Gideon Dror, Vincent Lemaire |
| 2010 | IJCNN | A method to build a representation using a classifier and its use in a K Nearest Neighbors-based deployment. | Vincent Lemaire, Marc Boull, Fabrice Clrot, Pascal Gouzien |
| 2008 | ICDM | A Non-parametric Semi-supervised Discretization Method. | Alexis Bondu, Marc Boull, Vincent Lemaire, Stphane Loiseau, Batrice Duval |
| 2008 | IJCNN | Adaptive curiosity for emotions detection in speech. | Alexis Bondu, Vincent Lemaire |
| 2008 | IJCNN | Contact personalization using a score understanding method. | Vincent Lemaire, Raphal Fraud, Nicolas Voisine |
| 2006 | ICONIP | A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination. | Benedicte Bascle, Olivier Bernier, Vincent Lemaire |
| 2006 | ICONIP | Driven Forward Features Selection: A Comparative Study on Neural Networks. | Vincent Lemaire, Raphal Fraud |
| 2005 | IJCNN | Individualized HRTFs from few measurements: a statistical learning approach. | Vincent Lemaire, Fabrice Clrot, Sylvain Busson, Rozenn Nicol, Vincent Choqueuse |
| 2004 | IJCNN | An input variable importance definition based on empirical data probability and its use in variable selection. | Vincent Lemaire, Fabrice Clrot |
| 1998 | ICIP | MULTRAK: A System for Automatic Multiperson Localization and Tracking in Real-Time. | Olivier Bernier, Michel Collobert, Raphal Fraud, Vincent Lemaire, Jean-Emmanuel Viallet, Daniel Collobert |