Michele Linardi

Publications

Chapitre d'ouvrage (1)

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? Dimitra Niaouri,Bruno Machado Carneiro,Michele Linardi,Julien Longhi Louis Cotgrove; Laura Herzberg; Harald Lüngen. Exploring digitally-mediated communication with corpora, De Gruyter, pp.225-256, 2025, 9783111432595. ⟨10.1515/9783111434018-011⟩ Chapitre d'ouvrage halshs-05141486v1

Communication dans un congrès (7)

[MASK]ED -Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse Dimitra Niaouri,Mohamed Rayane Ghilene,Michele Linardi,Julien Longhi Findings of the Association for Computational Linguistics: EMNLP 2025, Nov 2025, Suzhou, France. pp.14870-14883, ⟨10.18653/v1/2025.findings-emnlp.803⟩ Communication dans un congrès hal-05362837v1
Analysis of Socially Unacceptable Discourse with Zero-shot Learning Rayane Ghilene,Dimitra Niaouri,Michele Linardi,Julien Longhi International 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-04689478v3
Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: &quot;Are we on the same page ? Bruno Machado Carneiro,Michele Linardi,Julien Longhi International Conference on CMC and Social Media Corpora for the Humanities, Sep 2023, Mannheim, Germany, Germany Communication dans un congrès hal-04316521v1
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses Etienne Vareille,Adel Abbas,Michele Linardi,Vassilis Christophides IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Tessalonique, Grèce, Greece Communication dans un congrès hal-04316507v1
Unsupervised Time Series Anomaly Detection: The Road to Effective Explainability Michele Linardi,Vassilis Christophides Conférence 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-04316207v1
ChaseFUN: a Data Exchange Engine for Functional Dependencies at Scale Angela Bonifati,Ioana Ileana,Michele Linardi International Conference on Extending DatabaseTechnology (EDBT), Mar 2017, Venice, Italy. pp.534--537 Communication dans un congrès hal-01979684v1
Functional Dependencies Unleashed for Scalable Data Exchange Angela Bonifati,Ioana Ileana,Michele Linardi International 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-01401405v1

Article dans une revue (1)

Towards a new Contextualized Annotation Schema for Unacceptable and Extreme Speech (CUES) to Unleash Generalization Capability of ML models Dimitra Niaouri,Michele Linardi,Julien Longhi Studii de lingvistică, 2024, 14 (2), pp.63-94 Article dans une revue hal-04983788v1

Thèse (1)

Variable-length similarity search for very large data series : subsequence matching, motif and discord detection Michele Linardi Databases [cs.DB]. Université Sorbonne Paris Cité, 2019. English. ⟨NNT : 2019USPCB056⟩ Thèse tel-04047032v1