Alexis Bondu

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 35

Top Venues

CoRR

IJCNN

Mach. Learn.

ACML

University of Angers, France (PHD)

Education History

University of Angers, France

PHD

Publications

Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series: Taxonomy and Benchmark. CoRR (2024)
Pierre Lemaire, Angelo Furno, Stefania Rubrichi, Alexis Bondu, Zbigniew Smoreda, Cezary Ziemlicki, Nour-Eddin El Faouzi, Eric Gaume
Early Detection of Critical Urban Events using Mobile Phone Network Data. CoRR (2024)
Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. IJCNN (2023)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR (2023)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Biquality learning: a framework to design algorithms dealing with closed-set distribution shifts. Mach. Learn. 112 (12) (2023)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
biquality-learn: a Python library for Biquality Learning. CoRR (2023)
Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. CoRR (2023)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
ECOTS: Early Classification in Open Time Series. CoRR (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-Francois Marteau
Open challenges for Machine Learning based Early Decision-Making research. SIGKDD Explor. 24 (2) (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early and Revocable Time Series Classification. IJCNN (2022)
Alexis Bondu, Youssef Achenchabe, Albert Bifet, Fabrice Clérot, Antoine Cornuéjols, João Gama, Georges Hébrail, Vincent Lemaire, Pierre-François Marteau
Open challenges for Machine Learning based Early Decision-Making research. CoRR (2022)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Repondération Préférentielle pour l'Apprentissage Biqualité. EGC (2022)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
When to Classify Events in Open Times Series? ACML (2022)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML (2021)
Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early and Revocable Time Series Classification. CoRR (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Contrastive Representations for Label Noise Require Fine-Tuning. CoRR (2021)
Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé
Interpretable Feature Construction for Time Series Extrinsic Regression. CoRR (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
Early classification of time series. Mach. Learn. 110 (6) (2021)
Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé
Interpretable Feature Construction for Time Series Extrinsic Regression. PAKDD (1) (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire
Early Classification of Time Series is Meaningful. CoRR (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
Importance Reweighting for Biquality Learning. IJCNN (2021)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN (2021)
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR (2020)
Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot
Multivariate Time Series Classification: A Relational Way. DaWaK (2020)
Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka
Sélections simultanées de variables et de représentations pour la classification de séries temporelles. EGC (2020)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols
Importance Reweighting for Biquality Learning. CoRR (2020)
Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou
From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR (2020)
Vincent Lemaire, Fabien Boitier, Jelena Pesic, Alexis Bondu, Stéphane Ragot, Fabrice Clérot
Proactive Fiber Break Detection Based on Quaternion Time Series and Automatic Variable Selection from Relational Data. AALTD@PKDD/ECML (2019)
Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka
FEARS: a Feature and Representation Selection approach for Time Series Classification. ACML (2019)
Colin Leverger, Simon Malinowski, Thomas Guyet, Vincent Lemaire, Alexis Bondu, Alexandre Termier
Toward a Framework for Seasonal Time Series Forecasting Using Clustering. IDEAL (1) (2019)
Alexis Bondu, Marc Boullé, Antoine Cornuéjols
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Alexis Bondu, Marc Boullé, Antoine Cornuéjols
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (2015)
Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) (2015)
Alexis Bondu, Asma Dachraoui
Realistic and very fast simulation of individual electricity consumptions. IJCNN (2015)
Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols
Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) (2014)
Vincent Lemaire, Christophe Salperwyck, Alexis Bondu
A Survey on Supervised Classification on Data Streams. eBISS (2014)
Alexis Bondu, Marc Boullé, Benoît Grossin
SAXO: An optimized data-driven symbolic representation of time series. IJCNN (2013)
Alexis Bondu, Marc Boullé
A supervised approach for change detection in data streams. IJCNN (2011)
Alexis Bondu, Marc Boullé
Détection de changements de distribution dans un flux de données : une approche supervisée. EGC (2011)
Alexis Bondu, Vincent Lemaire, Marc Boullé
Une nouvelle stratégie d'apprentissage Bayésienne. EGC (2010)
Alexis Bondu, Marc Boullé, Vincent Lemaire
A non-parametric semi-supervised discretization method. Knowl. Inf. Syst. 24 (1) (2010)
Alexis Bondu, Vincent Lemaire, Marc Boullé
Exploration vs. exploitation in active learning : A Bayesian approach. IJCNN (2010)
Alexis Bondu, Benoît Grossin, Marie-Luce Picard
Density estimation on data stream : an application to change detection. EGC (2010)
Alexis Bondu, Vincent Lemaire
Adaptive curiosity for emotions detection in speech. IJCNN (2008)
Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval
A Non-parametric Semi-supervised Discretization Method. ICDM (2008)
Alexis Bondu, Vincent Lemaire, Barbara Poulain
Active Learning Strategies: A Case Study for Detection of Emotions in Speech. ICDM (2007)
Alexis Bondu, Vincent Lemaire, Barbara Poulain
Apprentissage actif d'émotions dans les dialogues Homme-Machine. EGC (2007)
Alexis Bondu, Vincent Lemaire
État de l'art sur les méthodes statistiques d'apprentissage actif. AAFD (2006)

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Publication Activity (10 Years)

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Alexis Bondu