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Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality predictionPLOS Digital Health, 2022, 1 (10), pp.e0000115. ⟨10.1371/journal.pdig.0000115⟩
Journal articles
hal-03830607v1
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Combining Internal- and External-Training-Loads to Predict Non-Contact Injuries in SoccerApplied Sciences, 2020, 10 (15), pp.5261. ⟨10.3390/app10155261⟩
Journal articles
hal-02913576v1
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The AffectMove Challenge: some machine learning approachesACIIW 2021 - 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, Sep 2021, Nara, Japan. pp.01-05, ⟨10.1109/ACIIW52867.2021.9666318⟩
Conference papers
hal-03531261v2
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Imputation crédibiliste pour la prédiction de charge interne de joueurs de footballLFA’2020 - 29èmes Rencontres Francophones sur la Logique Floue et ses Applications, Oct 2020, Sète, France
Conference papers
hal-02969311v1
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Evidential Bagging: Combining Heterogeneous Classifiers in the Belief Functions Framework17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2018), Jun 2018, Cadix, Spain. ⟨10.1007/978-3-319-91473-2_26⟩
Conference papers
hal-02294352v1
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Consideration of uncertainty during data acquisition and processing chain on sensory data11th Pangborn Sensory Science Symposium, 2015, Gothenburg, Sweden
Conference papers
hal-01933847v1
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Machine learning approach for predicting injury in soccer from external and internal training loadsACAPS 2019 - 18th Congress of the ACAPS in Paris, from the 29 - 31 October,, Oct 2019, Paris, France. 2019
Conference poster
hal-02416517v1
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