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Data Science Techniques for Sustainable Dairy Management

 Kévin Fauvel , Véronique Masson , Philippe Faverdin , Alexandre Termier
ERCIM News, 2018, 113, pp.29-30
Article dans une revue hal-02623595v1
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A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

 Kevin Fauvel , Daniel Balouek-Thomert , Diego Melgar , Pedro Silva , Anthony Simonet , et al.
In Proceedings of the 34th AAAI Conference on Artificial Intelligence, Feb 2020, New York, United States. pp.403-411, ⟨10.1609/aaai.v34i01.5376⟩
Communication dans un congrès hal-02373429v2
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Towards Sustainable Dairy Management - A Machine Learning Enhanced Method for Estrus Detection

 Kevin Fauvel , Véronique Masson , Elisa Fromont , Philippe Faverdin , Alexandre Termier
In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2019, Anchorage, United States. pp.3051-3059, ⟨10.1145/3292500.3330712⟩
Communication dans un congrès hal-02190790v2
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MDSC: Modelling Distributed Stream Processing across the Edge-to-Cloud Continuum

 Daniel Balouek-Thomert , Pedro Silva , Kevin Fauvel , Alexandru Costan , Gabriel Antoniu , et al.
DML-ICC 2021 workshop (held in conjunction with UCC 2021), Dec 2021, Leicester, United Kingdom
Communication dans un congrès hal-03510012v1

Earthquake Early Warning Dataset

 Kevin Fauvel , Daniel Balouek-Thomert , Diego Melgar , Pedro Silva , Anthony Simonet , et al.
2019
Pré-publication, Document de travail hal-03104149v1
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A Performance-Explainability Framework to Benchmark Machine Learning Methods: Application to Multivariate Time Series Classifiers

 Kevin Fauvel , Véronique Masson , Elisa Fromont
IJCAI-PRICAI 2020 - Workshop on Explainable Artificial Intelligence (XAI), Jan 2021, Yokohama, Japan. pp.1-8
Communication dans un congrès hal-03094885v2
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XPM: An explainable-by-design pattern-based estrus detection approach to improve resource use in dairy farms

 Issei Harada , Kevin Fauvel , Thomas Guyet , Véronique Masson , Alexandre Termier , et al.
AAAI 2022 - 36th AAAI Conference on Artificial Intelligence, Feb 2022, Vancouver, Canada. pp.1-10
Communication dans un congrès hal-03483109v2
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Enhancing Performance and Explainability of Multivariate Time Series Machine Learning Methods : Applications for Social Impact in Dairy Resource Monitoring and Earthquake Early Warning

 Kevin Fauvel
Machine Learning [cs.LG]. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S043⟩
Thèse tel-03140673v1
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XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification

 Kevin Fauvel , Tao Lin , Véronique Masson , Élisa Fromont , Alexandre Termier
Mathematics , 2021, 9 (23), pp.1-20. ⟨10.3390/math9233137⟩
Article dans une revue hal-03469487v1
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XEM: An explainable-by-design ensemble method for multivariate time series classification

 Kevin Fauvel , Elisa Fromont , Véronique Masson , Philippe Faverdin , Alexandre Termier
Data Mining and Knowledge Discovery, 2022, 36 (3), pp.917-957. ⟨10.1007/s10618-022-00823-6⟩
Article dans une revue hal-03599214v1
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