Kevin Fauvel

Orcid: 0000-0002-4050-8912

Affiliations:
  • Inria, Rennes, France
  • CNRS-IRISA, Rennes, France
  • University of Rennes 1, France (PhD 2020)


According to our database1, Kevin Fauvel authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
LCE: An Augmented Combination of Bagging and Boosting in Python.
CoRR, 2023

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
XEM: An explainable-by-design ensemble method for multivariate time series classification.
Data Min. Knowl. Discov., 2022

A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification.
CoRR, 2022

AppClassNet: a commercial-grade dataset for application identification research.
Comput. Commun. Rev., 2022

2021
MDSC: modelling distributed stream processing across the edge-to-cloud continuum.
Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6 - 9, 2021, 2021

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).
PhD thesis, 2020

XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification.
CoRR, 2020

A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers.
CoRR, 2020

Local Cascade Ensemble for Multivariate Data Classification.
CoRR, 2020

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Data Science Techniques for Sustainable Dairy Management.
ERCIM News, 2018


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