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2020 – today
- 2024
[i15]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 abs/2405.19125 (2024)- [i14]Aurélien Renault, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Taxonomy and Benchmark. CoRR abs/2406.18332 (2024) - [i13]Aurélien Renault, Youssef Achenchabe, Edouard Bertrand, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire, Asma Dachraoui:
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making. CoRR abs/2408.12925 (2024) - 2023
- [j4]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) - [c31]Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. IJCNN 2023: 1-10 - [i12]Aurélien Renault, Alexis Bondu, Vincent Lemaire, Dominique Gay:
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion. CoRR abs/2308.01071 (2023) - [i11]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
biquality-learn: a Python library for Biquality Learning. CoRR abs/2308.09643 (2023) - [i10]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
- [j3]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) - [c30]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
When to Classify Events in Open Times Series? ACML 2022: 1-16 - [c29]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Repondération Préférentielle pour l'Apprentissage Biqualité. EGC 2022: 339-346 - [c28]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. IJCNN 2022: 1-8 - [i9]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
ECOTS: Early Classification in Open Time Series. CoRR abs/2204.00392 (2022) - [i8]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
- [j2]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early classification of time series. Mach. Learn. 110(6): 1481-1504 (2021) - [c27]Paul-Emile Zafar, Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series: Cost-based multiclass Algorithms. DSAA 2021: 1-10 - [c26]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
Importance Reweighting for Biquality Learning. IJCNN 2021: 1-8 - [c25]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols, Adam Ouorou:
From Weakly Supervised Learning to Biquality Learning: an Introduction. IJCNN 2021: 1-10 - [c24]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. PAKDD (1) 2021: 804-816 - [c23]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. IAL@PKDD/ECML 2021: 89-104 - [i7]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé:
Interpretable Feature Construction for Time Series Extrinsic Regression. CoRR abs/2103.10247 (2021) - [i6]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early Classification of Time Series is Meaningful. CoRR abs/2104.13257 (2021) - [i5]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Contrastive Representations for Label Noise Require Fine-Tuning. CoRR abs/2108.09154 (2021) - [i4]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Vincent Lemaire:
Early and Revocable Time Series Classification. CoRR abs/2109.10285 (2021) - 2020
- [c22]Dominique Gay, Alexis Bondu, Vincent Lemaire, Marc Boullé, Fabrice Clérot:
Multivariate Time Series Classification: A Relational Way. DaWaK 2020: 316-330 - [c21]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 - [e1]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] - [i3]Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols, Asma Dachraoui:
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms. CoRR abs/2005.09945 (2020) - [i2]Pierre Nodet, Vincent Lemaire, Alexis Bondu, Antoine Cornuéjols:
Importance Reweighting for Biquality Learning. CoRR abs/2010.09621 (2020) - [i1]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)
2010 – 2019
- 2019
- [c20]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 - [c19]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 - [c18]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 - 2015
- [c17]Alexis Bondu, Asma Dachraoui:
Realistic and very fast simulation of individual electricity consumptions. IJCNN 2015: 1-8 - [c16]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML 2015 - [c15]Alexis Bondu, Marc Boullé, Antoine Cornuéjols:
Symbolic Representation of Time Series: A Hierarchical Coclustering Formalization. AALTD@PKDD/ECML (Revised Selected Papers) 2015: 3-16 - [c14]Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols:
Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem. ECML/PKDD (1) 2015: 433-447 - 2014
- [c13]Vincent Lemaire, Christophe Salperwyck, Alexis Bondu:
A Survey on Supervised Classification on Data Streams. eBISS 2014: 88-125 - [c12]Asma Dachraoui, Alexis Bondu, Antoine Cornuéjols:
Evaluation Protocol of Early Classifiers over Multiple Data Sets. ICONIP (2) 2014: 548-555 - 2013
- [c11]Alexis Bondu, Marc Boullé, Benoît Grossin:
SAXO: An optimized data-driven symbolic representation of time series. IJCNN 2013: 1-9 - 2011
- [c10]Alexis Bondu, Marc Boullé:
Détection de changements de distribution dans un flux de données : une approche supervisée. EGC 2011: 191-196 - [c9]Alexis Bondu, Marc Boullé:
A supervised approach for change detection in data streams. IJCNN 2011: 519-526 - 2010
- [j1]Alexis Bondu, Marc Boullé, Vincent Lemaire:
A non-parametric semi-supervised discretization method. Knowl. Inf. Syst. 24(1): 35-57 (2010) - [c8]Alexis Bondu, Benoît Grossin, Marie-Luce Picard:
Density estimation on data stream : an application to change detection. EGC 2010: 229-240 - [c7]Alexis Bondu, Vincent Lemaire, Marc Boullé:
Une nouvelle stratégie d'apprentissage Bayésienne. EGC 2010: 707-708 - [c6]Alexis Bondu, Vincent Lemaire, Marc Boullé:
Exploration vs. exploitation in active learning : A Bayesian approach. IJCNN 2010: 1-7
2000 – 2009
- 2008
- [b1]Alexis Bondu:
Apprentissage actif par modèles locaux. (Active learning using local models). University of Angers, France, 2008 - [c5]Alexis Bondu, Marc Boullé, Vincent Lemaire, Stéphane Loiseau, Béatrice Duval:
A Non-parametric Semi-supervised Discretization Method. ICDM 2008: 53-62 - [c4]Alexis Bondu, Vincent Lemaire:
Adaptive curiosity for emotions detection in speech. IJCNN 2008: 674-680 - 2007
- [c3]Alexis Bondu, Vincent Lemaire, Barbara Poulain:
Apprentissage actif d'émotions dans les dialogues Homme-Machine. EGC 2007: 427-432 - [c2]Alexis Bondu, Vincent Lemaire, Barbara Poulain:
Active Learning Strategies: A Case Study for Detection of Emotions in Speech. ICDM 2007: 228-241 - 2006
- [c1]Alexis Bondu, Vincent Lemaire:
État de l'art sur les méthodes statistiques d'apprentissage actif. AAFD 2006: 207-226
Coauthor Index
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last updated on 2024-11-07 20:34 CET by the dblp team
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