LINARDI Michele
MCF, CY Cergy Paris University
Member of team :
MIDI
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 (ENSEA0 in collaboration with SAP France.
The topic of this collaboration is the Analysis of Supply Chain Data.
Publications dans Hal
- Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses
- Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?
- Unsupervised Time Series Anomaly Detection: The Road to Effective Explainability
- Variable-length similarity search for very large data series : subsequence matching, motif and discord detection
