État de l'art sur les méthodes statistiques d'apprentissage actif. - Alexis Bondu; Vincent Lemaire 001 (AAFD, 2006)

Apprentissage actif d'émotions dans les dialogues Homme-Machine. - Alexis Bondu; Vincent Lemaire 001; Barbara Poulain (EGC, 2007)

Active Learning Strategies: A Case Study for Detection of Emotions in Speech. - Alexis Bondu; Vincent Lemaire 001; Barbara Poulain (ICDM, 2007)

A Non-parametric Semi-supervised Discretization Method. - Alexis Bondu; Marc Boullé; Vincent Lemaire 001; Stéphane Loiseau; Béatrice Duval (ICDM, 2008)

Adaptive curiosity for emotions detection in speech. - Alexis Bondu; Vincent Lemaire 001 (IJCNN, 2008)

Apprentissage actif par modèles locaux. (Active learning using local models). - Alexis Bondu (2008)

Density estimation on data stream : an application to change detection. - Alexis Bondu; Benoît Grossin; Marie-Luce Picard (EGC, 2010)

Une nouvelle stratégie d'apprentissage Bayésienne. - Alexis Bondu; Vincent Lemaire 001; Marc Boullé (EGC, 2010)

Exploration vs. exploitation in active learning : A Bayesian approach. - Alexis Bondu; Vincent Lemaire 001; Marc Boullé (IJCNN, 2010)

A non-parametric semi-supervised discretization method. - Alexis Bondu; Marc Boullé; Vincent Lemaire 001 (Knowl. Inf. Syst., 2010)

Détection de changements de distribution dans un flux de données : une approche supervisée. - Alexis Bondu; Marc Boullé (EGC, 2011)

A supervised approach for change detection in data streams. - Alexis Bondu; Marc Boullé (IJCNN, 2011)

SAXO: An optimized data-driven symbolic representation of time series. - Alexis Bondu; Marc Boullé; Benoît Grossin (IJCNN, 2013)

A Survey on Supervised Classification on Data Streams. - Vincent Lemaire 001; Christophe Salperwyck; Alexis Bondu (eBISS, 2014)

Evaluation Protocol of Early Classifiers over Multiple Data Sets. - Asma Dachraoui; Alexis Bondu; Antoine Cornuéjols (ICONIP (2), 2014)

Realistic and very fast simulation of individual electricity consumptions. - Alexis Bondu; Asma Dachraoui (IJCNN, 2015)

Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. - Alexis Bondu; Marc Boullé; Antoine Cornuéjols (AALTD@PKDD/ECML, 2015)

Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. - Asma Dachraoui; Alexis Bondu; Antoine Cornuéjols (ECML/PKDD (1), 2015)

FEARS: a Feature and Representation Selection approach for Time Series Classification. - Alexis Bondu; Dominique Gay; Vincent Lemaire 001; Marc Boullé; Eole Cervenka (ACML, 2019)

Toward a Framework for Seasonal Time Series Forecasting Using Clustering. - Colin Leverger; Simon Malinowski; Thomas Guyet; Vincent Lemaire 001; Alexis Bondu; Alexandre Termier (IDEAL (1), 2019)

Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data. - Vincent Lemaire 001; Fabien Boitier; Jelena Pesic; Alexis Bondu; Stéphane Ragot; Fabrice Clérot (AALTD@PKDD/ECML, 2019)

Multivariate Time Series Classification: A Relational Way. - Dominique Gay; Alexis Bondu; Vincent Lemaire 001; Marc Boullé; Fabrice Clérot (DaWaK, 2020)

Sélections simultanées de variables et de représentations pour la classification de séries temporelles. - Alexis Bondu; Dominique Gay; Vincent Lemaire 001; Marc Boullé; Eole Cervenka (EGC, 2020)

Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Asma Dachraoui (CoRR, 2020)

Importance Reweighting for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (CoRR, 2020)

From Weakly Supervised Learning to Biquality Learning, a brief introduction. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (CoRR, 2020)

Early Classification of Time Series: Cost-based multiclass Algorithms. - Paul-Emile Zafar; Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (DSAA, 2021)

Importance Reweighting for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (IJCNN, 2021)

From Weakly Supervised Learning to Biquality Learning: an Introduction. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols; Adam Ouorou (IJCNN, 2021)

Interpretable Feature Construction for Time Series Extrinsic Regression. - Dominique Gay; Alexis Bondu; Vincent Lemaire 001; Marc Boullé (PAKDD (1), 2021)

Contrastive Representations for Label Noise Require Fine-Tuning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (IAL@PKDD/ECML, 2021)

Early Classification of Time Series is Meaningful. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2021)

Early classification of time series. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Asma Dachraoui (Mach. Learn., 2021)

When to Classify Events in Open Times Series? - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (ACML, 2022)

Repondération Préférentielle pour l'Apprentissage Biqualité. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (EGC, 2022)

Early and Revocable Time Series Classification. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (IJCNN, 2022)

ECOTS: Early Classification in Open Time Series. - Youssef Achenchabe; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2022)

Open challenges for Machine Learning based Early Decision-Making research. - Alexis Bondu; Youssef Achenchabe; Albert Bifet; Fabrice Clérot; Antoine Cornuéjols; João Gama 001; Georges Hébrail; Vincent Lemaire 001; Pierre-Francois Marteau (SIGKDD Explor., 2022)

Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. - Aurélien Renault; Alexis Bondu; Vincent Lemaire 001; Dominique Gay (IJCNN, 2023)

biquality-learn: a Python library for Biquality Learning. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (CoRR, 2023)

Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. - Pierre Nodet; Vincent Lemaire 001; Alexis Bondu; Antoine Cornuéjols (Mach. Learn., 2023)

Early Detection of Critical Urban Events using Mobile Phone Network Data. - Pierre Lemaire 004; Angelo Furno; Stefania Rubrichi; Alexis Bondu; Zbigniew Smoreda; Cezary Ziemlicki; Nour-Eddin El Faouzi; Eric Gaume (CoRR, 2024)

Early Classification of Time Series: Taxonomy and Benchmark. - Aurélien Renault; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (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 001; Asma Dachraoui (CoRR, 2024)

Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark. - Thomas George; Pierre Nodet; Alexis Bondu; Vincent Lemaire 001 (Trans. Mach. Learn. Res., 2024)

Khiops: apprentissage automatique sans hyperparamètre. - 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; et al. (EGC, 2025)

Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series. - Aurélien Renault; Alexis Bondu; Antoine Cornuéjols; Vincent Lemaire 001 (CoRR, 2025)