Michele Linardi — accepted AI-conference papers

2025

[MASK]ED - Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse.

Dimitra Niaouri, Mohamed Rayane Ghilene, Michele Linardi, Julien Longhi

EMNLP 2025

Analyzing Socially Unacceptable Discourse (SUD) online is a critical challenge for regulators and platforms amidst growing concerns over harmful content. While Pre-trained Masked Language Models (PMLMs) have proven effective for many NLP tasks, their performance often degrades in multi-label SUD cla

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2024

ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions

Etienne Vareille, Michele Linardi, Ioannis Tsamardinos, Vassilis Christophides

NeurIPS 2024poster

We consider the problem of selecting all the minimal-size subsets of multivariate time-series (TS) variables whose past leads to an optimal predictive model for the future (forecasting) of a given target variable (multiple feature selection problem for times-series). Identifying these subsets leads…

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