Alexis Bondu - RankMe

60 papers A* 2B 12C 2Journal 25Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Early Classification of Time Series in Non-Stationary Cost Regimes. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
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	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`	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
2024	J	`jnl`	Early Classification of Time Series: Taxonomy and Benchmark. CoRR Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
2024	J	`jnl`	Early Detection of Critical Urban Events using Mobile Phone Network Data. CoRR Pierre Lemaire, Angelo Furno, Stefania Rubrichi, Alexis Bondu, Zbigniew Smoreda, Cezary Ziemlicki, Nour-Eddin El Faouzi, Eric Gaume
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	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	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	J	`jnl`	biquality-learn: a Python library for Biquality Learning. CoRR Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
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	—	`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	—	`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	J	`jnl`	Early classification of time series. Mach. Learn. Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
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
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	J	`jnl`	Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
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	B	`conf`	Multivariate Time Series Classification: A Relational Way. DaWaK Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot
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	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	—	`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	—	`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
2015	—	`conf`	Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
2015	B	`conf`	Realistic and very fast simulation of individual electricity consumptions. IJCNN Alexis Bondu, Asma Dachraoui
2015	—	`conf`	Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML Alexis Bondu, Marc Boullé, Antoine Cornuéjols
2015	—	`conf`	Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) Alexis Bondu, Marc Boullé, Antoine Cornuéjols
2014	—	`conf`	A Survey on Supervised Classification on Data Streams. eBISS Vincent Lemaire, Christophe Salperwyck, Alexis Bondu
2014	—	`conf`	Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
2013	B	`conf`	SAXO: An optimized data-driven symbolic representation of time series. IJCNN Alexis Bondu, Marc Boullé, Benoît Grossin
2011	B	`conf`	A supervised approach for change detection in data streams. IJCNN Alexis Bondu, Marc Boullé
2011	—	`conf`	Détection de changements de distribution dans un flux de données : une approche supervisée. EGC Alexis Bondu, Marc Boullé
2010	J	`jnl`	A non-parametric semi-supervised discretization method. Knowl. Inf. Syst. Alexis Bondu, Marc Boullé, Vincent Lemaire
2010	—	`conf`	Density estimation on data stream : an application to change detection. EGC Alexis Bondu, Benoît Grossin, Marie-Luce Picard
2010	B	`conf`	Exploration vs. exploitation in active learning : A Bayesian approach. IJCNN Alexis Bondu, Vincent Lemaire, Marc Boullé
2010	—	`conf`	Une nouvelle stratégie d'apprentissage Bayésienne. EGC Alexis Bondu, Vincent Lemaire, Marc Boullé
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	—	`—`	Apprentissage actif par modèles locaux. (Active learning using local models). Alexis Bondu
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
2006	—	`conf`	État de l'art sur les méthodes statistiques d'apprentissage actif. AAFD Alexis Bondu, Vincent Lemaire