Michele Linardi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

Top Topics

Anomaly Detection

Functional Dependencies

Variable Length

Similarity Search

Top Venues

SIGMOD Conference

Publications

Adel Abbas, Michele Linardi, Etienne Vareille, Vassillis Christophides, Claudia Paris
Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series. IGARSS (2023)
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 32 (2) (2023)
Etienne Vareille, Adel Abbas, Michele Linardi, Vassillis Christophides
Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses. DSAA (2023)
Bruno Machado Carneiro, Michele Linardi, Julien Longhi
Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?". CoRR (2023)
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. 30 (6) (2021)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. CoRR (2020)
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE (2020)
Michele Linardi, Themis Palpanas
Scalable Data Series Subsequence Matching with ULISSE. CoRR (2020)
Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
Automated Anomaly Detection in Large Sequences. ICDE (2020)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. CoRR (2020)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov. 34 (4) (2020)
Michele Linardi
Effective and Efficient Variable-Length Data Series Analytics. CoRR (2020)
Michele Linardi, Themis Palpanas
Scalable data series subsequence matching with ULISSE. VLDB J. 29 (6) (2020)
Michele Linardi
Effective and Efficient Variable-Length Data Series Analytics. PhD@VLDB (2019)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. SIGMOD Conference (2018)
Michele Linardi, Themis Palpanas
ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series. ICDE (2018)
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. SIGMOD Conference (2018)
Michele Linardi, Themis Palpanas
Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach. Proc. VLDB Endow. 11 (13) (2018)
Angela Bonifati, Ioana Ileana, Michele Linardi
ChaseFUN: a Data Exchange Engine for Functional Dependencies at Scale. EDBT (2017)
Angela Bonifati, Ioana Ileana, Michele Linardi
Functional Dependencies Unleashed for Scalable Data Exchange. SSDBM (2016)
Angela Bonifati, Ioana Ileana, Michele Linardi
Functional Dependencies Unleashed for Scalable Data Exchange. CoRR (2016)