Data Science Techniques for Sustainable Dairy Management. - Kevin Fauvel; Véronique Masson; Philippe Faverdin; Alexandre Termier (ERCIM News, 2018)

Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. - Kevin Fauvel; Véronique Masson; Élisa Fromont; Philippe Faverdin; Alexandre Termier (KDD, 2019)

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. - Kevin Fauvel; Daniel Balouek-Thomert; Diego Melgar; Pedro Silva 007; Anthony Simonet; Gabriel Antoniu; Alexandru Costan; Véronique Masson; Manish Parashar; Ivan Rodero; Alexandre Termier (AAAI, 2020)

Local Cascade Ensemble for Multivariate Data Classification. - Kevin Fauvel; Élisa Fromont; Véronique Masson; Philippe Faverdin; Alexandre Termier (CoRR, 2020)

A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers. - Kevin Fauvel; Véronique Masson; Élisa Fromont (CoRR, 2020)

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification. - Kevin Fauvel; Tao Lin; Véronique Masson; Élisa Fromont; Alexandre Termier (CoRR, 2020)

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). - Kevin Fauvel (2020)

MDSC: modelling distributed stream processing across the edge-to-cloud continuum. - Daniel Balouek-Thomert; Pedro Silva 007; Kevin Fauvel; Alexandru Costan; Gabriel Antoniu; Manish Parashar (UCC Companion, 2021)

AppClassNet: a commercial-grade dataset for application identification research. - Chao Wang 103; Alessandro Finamore; Lixuan Yang; Kevin Fauvel; Dario Rossi 001 (Comput. Commun. Rev., 2022)

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. - Kevin Fauvel; Alessandro Finamore; Lixuan Yang; Fuxing Chen; Dario Rossi 001 (CoRR, 2022)

XEM: An explainable-by-design ensemble method for multivariate time series classification. - Kevin Fauvel; Élisa Fromont; Véronique Masson; Philippe Faverdin; Alexandre Termier (Data Min. Knowl. Discov., 2022)

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. - Kevin Fauvel; Fuxing Chen; Dario Rossi 001 (KDD, 2023)

LCE: An Augmented Combination of Bagging and Boosting in Python. - Kevin Fauvel; Élisa Fromont; Véronique Masson; Philippe Faverdin; Alexandre Termier (CoRR, 2023)