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Coalitional Strategies for Efficient Individual Prediction ExplanationInformation Systems Frontiers, 2021, pp.1-31. ⟨10.1007/s10796-021-10141-9⟩
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Explaining single predictions : a faster methodInternational Conference on Current Trends in Theory and Practice of Computer Science (SOFSEM 2020), Jan 2020, Limassol, Cyprus. pp.313-324, ⟨10.1007/978-3-030-38919-2_26⟩
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hal-02942310v1
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User Interests Clustering in Business Intelligence InteractionsInternational Conference on Advanced Information Systems Engineering (CAiSE 2017), Jun 2017, Essen, Germany. ⟨10.1007/978-3-319-59536-8_10⟩
Conference papers
hal-01629076v1
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Stratégies coalitionnelles pour une explication efficace des prédictions individuellesConférence francophone sur l'Extraction et la Gestion des Connaissances (EGC 2022), Jan 2022, Blois, France. pp.395-402
Conference papers
hal-03845757v1
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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
Conference papers
hal-03687554v1
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Improving on coalitional prediction explanation24th European Conference on Advances in Databases and Information Systems (ADBIS 2020), Aug 2020, Lyon, France. pp.122-135, ⟨10.1007/978-3-030-54832-2_11⟩
Conference papers
hal-03138314v1
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Exploration de données et journalisme : vers la spécification de narrations journalistiquesRencontre annuelle Masses de données, informations et connaissances en sciences (MaDICS) 2018. Big Data - Data Science, Groupement de recherche (GDR) MaDICS, Nov 2018, Strasbourg, France
Conference papers
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Du protéome urinaire vers le protéome tissulaire rénal : analyse des réseaux d'interaction protéines-protéines (Genotoul Biostat Bioinfo day, Toulouse, 13/12/18)Genotoul Biostat Bioinfo day 2018, Plateforme de Biostatistique- Génopole Toulouse Midi-Pyrénées, France, Dec 2018, Toulouse, France
Conference papers
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Interest-based recommendations for business intelligence usersInformation Systems, 2019, 86, pp.79-93. ⟨10.1016/j.is.2018.08.004⟩
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hal-02976606v1
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How to make the most of local explanations: effective clustering based on influences27th European Conference Advances in Databases and Information Systems (ADBIS 2023), Sep 2023, Barcelone, Spain. pp.146-160, ⟨10.1007/978-3-031-42914-9_11⟩
Conference papers
hal-04189455v1
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Towards a Meta-analysis-based User Assistant for Analysis Processes11th International Conference on Computer Science and Information Technology (CSIT 2017), Sep 2017, Yerevan, Armenia. pp.63-66
Conference papers
hal-02559799v1
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Analysis-oriented Metadata for Data Lakes25th International Database Engineering & Applications Symposium (IDEAS 2021), Jul 2021, Montreal, Canada
Conference papers
hal-03269221v1
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A framework for user assistance on predictive modelsJoint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Jul 2020, Samatan, Gers, France. pp.32
Conference papers
hal-03138319v1
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Data Quality Alerting Model for Big Data AnalyticsInternational Workshop on Qualitative Aspects of User-Centered Analytics - European Conference on Advances in Databases and Information Systems (QAUCA@ADBIS 2019), Sep 2019, Bled, Slovenia. pp.489-500
Conference papers
hal-02947780v1
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Explainable machine learning framework to predict personalized physiological agingAging Cell, 2023, 22 (8), pp.e13872. ⟨10.1111/acel.13872⟩
Journal articles
hal-04186426v1
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Local Explanation-Based Method for Healthcare Risk StratificationMedical Informatics Europe 2022, May 2022, Nice, France. ⟨10.3233/shti220520⟩
Conference papers
hal-03687549v1
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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⟩
Journal articles
hal-03687558v1
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Weather Data Visualization and Analytical PlatformScalable Computing : Practice and Experience, 2018, Special Issue, 19 (2), pp.79-86. ⟨10.12694/scpe.v19i2.1351⟩
Journal articles
hal-03508133v1
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PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithmsScientific Reports, 2021, 11 (1), pp.Article number: 5764 (2021). ⟨10.1038/s41598-021-85135-3⟩
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hal-03268300v1
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AutoXAI: A Framework to Automatically Select the Most Adapted XAI Solution31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Oct 2022, Atlanta GA, United States. pp.315-324, ⟨10.1145/3511808.3557247⟩
Conference papers
hal-03854778v1
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Un cadre d'aide à l'exploitation des résultats de prédictions, à destination d'experts de domaine37eme Congres Informatique des Organisations et Systemes d'Information et de Decision (INFORSID 2019), Jun 2019, Paris, France. pp.206-220
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hal-02419427v1
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