LINARDI Michele
MCF, CY Cergy Paris University
Member of team :
DATA&AI
Phone :
07 52 91 99 70
Biography
Since September 2021, I have been an assistant professor in the MIDI team of ETIS lab.
I obtained a Master of Science in Computer Science from the University of Trento and Scuola Superiore S.Anna (Italy) 2014.
I obtained a Ph.D. in Computer Science at Paris Descartes University in 2019.
The title of my thesis was: Variable-Length Similarity Search for Very Large Data Series Subsequence Matching, Motif, and Discord Detection.
Research activities
- ML/DL models applied to Time Series (a.k.a. Time Series) Analytics.
- Explainable Deep Learning for Time Series Anomaly Detection.
- Time Series Databases.
- Online Time Series Pattern Matching.
Ongoing projects
I am currently working on a research project directed by Professor Vassilis Christophides (ENSEA) in collaboration with SAP France. The topic of this collaboration is the Analysis of Supply Chain Data.
ARENAS European project (Analysis of and Responses to Extremist Narratives)
Publications dans Hal
- [MASK]ED -Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse
- 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?
- Towards a new Contextualized Annotation Schema for Unacceptable and Extreme Speech (CUES) to Unleash Generalization Capability of ML models
- Analysis of Socially Unacceptable Discourse with Zero-shot Learning