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ORCIDKevin Fauvel
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- affiliation: Inria, Rennes, France
- affiliation: CNRS-IRISA, Rennes, France
- affiliation (PhD 2020): University of Rennes 1, France
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2020 – today
- 2023
[c4]Kevin Fauvel
, Fuxing Chen, Dario Rossi:
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. KDD 2023: 4013-4023- [i6]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
LCE: An Augmented Combination of Bagging and Boosting in Python. CoRR abs/2308.07250 (2023) - 2022
- [j2]Chao Wang, Alessandro Finamore, Lixuan Yang, Kevin Fauvel, Dario Rossi:
AppClassNet: a commercial-grade dataset for application identification research. Comput. Commun. Rev. 52(3): 19-27 (2022) - [j1]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
XEM: An explainable-by-design ensemble method for multivariate time series classification. Data Min. Knowl. Discov. 36(3): 917-957 (2022) - [i5]Kevin Fauvel, Alessandro Finamore, Lixuan Yang, Fuxing Chen, Dario Rossi:
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. CoRR abs/2202.05535 (2022) - 2021
- [c3]Daniel Balouek-Thomert, Pedro Silva, Kevin Fauvel, Alexandru Costan, Gabriel Antoniu, Manish Parashar:
MDSC: modelling distributed stream processing across the edge-to-cloud continuum. UCC Companion 2021: 25:1-25:6 - 2020
- [b1]Kevin Fauvel:
Enhancing Performance and Explainability of Multivariate Time Series Machine Learning Methods: Applications for Social Impact in Dairy Resource Monitoring and Earthquake Early Warning. (Amélioration de la Performance et de l'Explicabilité des Méthodes d'Apprentissage Automatique de Séries Temporelles Multivariées). University of Rennes, Inria, France, 2020 - [c2]Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier:
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. AAAI 2020: 403-411 - [i4]Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier:
Local Cascade Ensemble for Multivariate Data Classification. CoRR abs/2005.03645 (2020) - [i3]Kevin Fauvel, Véronique Masson, Élisa Fromont:
A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers. CoRR abs/2005.14501 (2020) - [i2]Kevin Fauvel, Tao Lin, Véronique Masson, Élisa Fromont, Alexandre Termier:
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification. CoRR abs/2009.04796 (2020)
2010 – 2019
- 2019
- [c1]Kevin Fauvel, Véronique Masson, Élisa Fromont, Philippe Faverdin, Alexandre Termier:
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. KDD 2019: 3051-3059 - 2018
- [i1]Kevin Fauvel, Véronique Masson, Philippe Faverdin, Alexandre Termier:
Data Science Techniques for Sustainable Dairy Management. ERCIM News 2018(113) (2018)
Coauthor Index
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