Kevin Fauvel - RankMe

13 papers A* 3Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. KDD Kevin Fauvel, Fuxing Chen, Dario Rossi
2023	J	`jnl`	LCE: An Augmented Combination of Bagging and Boosting in Python. CoRR Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier
2022	J	`jnl`	A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification. CoRR Kevin Fauvel, Alessandro Finamore, Lixuan Yang, Fuxing Chen, Dario Rossi
2022	J	`jnl`	AppClassNet: a commercial-grade dataset for application identification research. Comput. Commun. Rev. Chao Wang, Alessandro Finamore, Lixuan Yang, Kevin Fauvel, Dario Rossi
2022	J	`jnl`	XEM: An explainable-by-design ensemble method for multivariate time series classification. Data Min. Knowl. Discov. Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier
2021	—	`conf`	MDSC: modelling distributed stream processing across the edge-to-cloud continuum. UCC Companion Daniel Balouek-Thomert, Pedro Silva, Kevin Fauvel, Alexandru Costan, Gabriel Antoniu, Manish Parashar
2020	A*	`conf`	A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. AAAI Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier
2020	J	`jnl`	A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers. CoRR Kevin Fauvel, Véronique Masson, Élisa Fromont
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	J	`jnl`	Local Cascade Ensemble for Multivariate Data Classification. CoRR Kevin Fauvel, Élisa Fromont, Véronique Masson, Philippe Faverdin, Alexandre Termier
2020	J	`jnl`	XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification. CoRR Kevin Fauvel, Tao Lin, Véronique Masson, Élisa Fromont, Alexandre Termier
2019	A*	`conf`	Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection. KDD Kevin Fauvel, Véronique Masson, Élisa Fromont, Philippe Faverdin, Alexandre Termier
2018	J	`jnl`	Data Science Techniques for Sustainable Dairy Management. ERCIM News Kevin Fauvel, Véronique Masson, Philippe Faverdin, Alexandre Termier