
Michele Linardi
9
Documents
Publications
Publications
Machine Learning is heading to the SUD (Socially Unacceptable Discourse) analysis: From Shallow Learning to Large Language Models to the rescue, where do we stand?Exploring digitally-mediated communication with corpora, De Gruyter, pp.225-256, 2025, ⟨10.1515/9783111434018-011⟩
Chapitre d'ouvrage
halshs-05141486
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Towards a new Contextualized Annotation Schema for Unacceptable and Extreme Speech (CUES) to Unleash Generalization Capability of ML modelsStudii de lingvistică, 2024, 14 (2), pp.63-94
Article dans une revue
hal-04983788
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Analysis of Socially Unacceptable Discourse with Zero-shot LearningInternational Conference on CMC and Social Media Corpora for the Humanities, University Côte d’Azur, France, 2024, Sep 2024, Nice (FRANCE), France
Communication dans un congrès
hal-04689478
v3
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Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?International Conference on CMC and Social Media Corpora for the Humanities, Sep 2023, Mannheim, Germany, Germany
Communication dans un congrès
hal-04316521
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Evaluating Explanation Methods of Multivariate Time Series Classification through Causal LensesIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Tessalonique, Grèce, Greece
Communication dans un congrès
hal-04316507
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Unsupervised Time Series Anomaly Detection: The Road to Effective ExplainabilityConférence francophone sur l'Extraction et la Gestion des Connaissances 24-28 janvier 2022 (Atelier EXPLAIN'AI ), Jan 2022, Blois, France, France
Communication dans un congrès
hal-04316207
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ChaseFUN: a Data Exchange Engine for Functional Dependencies at ScaleInternational Conference on Extending DatabaseTechnology (EDBT), Mar 2017, Venice, Italy. pp.534--537
Communication dans un congrès
hal-01979684
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Functional Dependencies Unleashed for Scalable Data ExchangeInternational Conference on Scientific and Statistical Database Management (SSDBM), Jul 2016, Budapest, Hungary. pp.2:1-2:12, ⟨10.1145/2949689.2949698⟩
Communication dans un congrès
hal-01401405
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Variable-length similarity search for very large data series : subsequence matching, motif and discord detectionDatabases [cs.DB]. Université Sorbonne Paris Cité, 2019. English. ⟨NNT : 2019USPCB056⟩
Thèse
tel-04047032
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