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Publication search results
found 49 matches
- 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): 4663-4692 (2023) - Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. IJCNN 2023: 1-10 - Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. CoRR abs/2308.01071 (2023) - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
biquality-learn: a Python library for Biquality Learning. CoRR abs/2308.09643 (2023) - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts. CoRR abs/2308.15132 (2023) - 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): 12-31 (2022) - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
When to Classify Events in Open Times Series? ACML 2022: 1-16 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Repondération Préférentielle pour l'Apprentissage Biqualité. EGC 2022: 339-346 - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. IJCNN 2022: 1-8 - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
ECOTS: Early Classification in Open Time Series. CoRR abs/2204.00392 (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 abs/2204.13111 (2022) - 2021
- Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early classification of time series. Mach. Learn. 110(6): 1481-1504 (2021) - Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA 2021: 1-10 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
Importance Reweighting for Biquality Learning. IJCNN 2021: 1-8 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN 2021: 1-10 - Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. PAKDD (1) 2021: 804-816 - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML 2021: 89-104 - Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. CoRR abs/2103.10247 (2021) - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series is Meaningful. CoRR abs/2104.13257 (2021) - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. CoRR abs/2108.09154 (2021) - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. CoRR abs/2109.10285 (2021) - 2020
- Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. DaWaK 2020: 316-330 - 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: 415-424 - Vincent Lemaire, Simon Malinowski, Anthony J. Bagnall, Alexis Bondu, Thomas Guyet, Romain Tavenard:
Advanced Analytics and Learning on Temporal Data - 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11986, Springer 2020, ISBN 978-3-030-39097-6 [contents] - Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR abs/2005.09945 (2020) - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Importance Reweighting for Biquality Learning. CoRR abs/2010.09621 (2020) - Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning, a brief introduction. CoRR abs/2012.09632 (2020) - 2019
- Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka:
FEARS: a Feature and Representation Selection approach for Time Series Classification. ACML 2019: 379-394 - 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: 328-340 - 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: 26-42
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