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8 résultats
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A comparative study of additive local explanation methods based on feature influences24th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data ((DOLAP 2022), Mar 2022, Edinburgh, United Kingdom. pp.31-40
Communication dans un congrès
hal-03687554v1
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Systemic Periodontal Risk Score Using an Innovative Machine Learning Strategy: An Observational StudyJournal of Personalized Medicine, 2022, 12 (2), pp.217. ⟨10.3390/jpm12020217⟩
Article dans une revue
hal-03687558v1
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Explainable machine learning framework to predict personalized physiological agingAging Cell, 2023, 22 (8), pp.e13872. ⟨10.1111/acel.13872⟩
Article dans une revue
hal-04186426v1
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L'explicabilité au service de l'extraction de connaissances : application à des données médicalesEXPLAIN'AI Workshop 2023 - Extraction et Gestion de Connaissances, Jan 2023, Lyon, France. ⟨10.48550/ARXIV.2302.02653⟩
Communication dans un congrès
hal-03978252v1
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A quantitative approach for the comparison of additive local explanation methodsInformation Systems, 2023, 114 (Special issue on DOLAP 2022: Design, Optimization, Languages and Analytical Processing of Big Data), pp.102162. ⟨10.1016/j.is.2022.102162⟩
Article dans une revue
hal-04239122v1
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Explanations as a New Metric for Feature Selection: A Systematic ApproachIEEE Journal of Biomedical and Health Informatics, 2023, 27 (8), pp.4131-4142. ⟨10.1109/JBHI.2023.3279340⟩
Article dans une revue
hal-04258474v1
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Data Exploration Based on Local Attribution Explanation: A Medical Use Case27th European Conference Advances in Databases and Information Systems (ADBIS 2023), Sep 2023, Barcelone, Spain. pp.315-323, ⟨10.1007/978-3-031-42941-5_27⟩
Communication dans un congrès
hal-04239173v1
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Processing Fuzzy Relational Queries Using Fuzzy ViewsIEEE International Conference on Fuzzy Systems, Jun 2019, New-Orleans, United States
Communication dans un congrès
hal-02116133v1
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