Michele Linardi

26 papers A* 4B 3C 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Rethinking HyperSpectral Image Classification (HSIC) Benchmark with Explainability (xAI) under a Causal Estimation Perspective. EDBT/ICDT Workshops Sékou Dabo, Michele Linardi, Claudia Paris
2025	—	`conf`	[MASK]ED - Language Modeling for Explainable Classification and Disentangling of Socially Unacceptable Discourse. EMNLP (Findings) Dimitra Niaouri, Rayane Ghilene, Michele Linardi, Julien Longhi
2024	J	`jnl`	Analysis of Socially Unacceptable Discourse with Zero-shot Learning. CoRR Rayane Ghilene, Dimitra Niaouri, Michele Linardi, Julien Longhi
2024	A*	`conf`	ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions. NeurIPS Etienne Vareille, Michele Linardi, Ioannis Tsamardinos, Vassilis Christophides
2023	J	`jnl`	Correction to: Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
2023	B	`conf`	Evaluating Explanation Methods of Multivariate Time Series Classification through Causal Lenses. DSAA Etienne Vareille, Adel Abbas, Michele Linardi, Vassilis Christophides
2023	J	`jnl`	Studying Socially Unacceptable Discourse Classification (SUD) through different eyes: "Are we on the same page ?". CoRR Bruno Machado Carneiro, Michele Linardi, Julien Longhi
2023	C	`conf`	Towards Explainable AI4EO: An Explainable Deep Learning Approach for Crop Type Mapping using Satellite Images Time Series. IGARSS Adel Abbas, Michele Linardi, Etienne Vareille, Vassilis Christophides, Claudia Paris
2021	J	`jnl`	Unsupervised and scalable subsequence anomaly detection in large data series. VLDB J. Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas, Mohammed Meftah, Emmanuel Remy
2020	A*	`conf`	Automated Anomaly Detection in Large Sequences. ICDE Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	J	`jnl`	Effective and Efficient Variable-Length Data Series Analytics. CoRR Michele Linardi
2020	J	`jnl`	Matrix Profile Goes MAD: Variable-Length Motif And Discord Discovery in Data Series. CoRR Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
2020	J	`jnl`	Matrix profile goes MAD: variable-length motif and discord discovery in data series. Data Min. Knowl. Discov. Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
2020	A*	`conf`	SAD: An Unsupervised System for Subsequence Anomaly Detection. ICDE Paul Boniol, Michele Linardi, Federico Roncallo, Themis Palpanas
2020	J	`jnl`	Scalable Data Series Subsequence Matching with ULISSE. CoRR Michele Linardi, Themis Palpanas
2020	J	`jnl`	Scalable data series subsequence matching with ULISSE. VLDB J. Michele Linardi, Themis Palpanas
2020	J	`jnl`	VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. CoRR Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
2019	—	`conf`	Effective and Efficient Variable-Length Data Series Analytics. PhD@VLDB Michele Linardi
2019	—	`—`	Variable-length similarity search for very large data series: subsequence matching, motif and discord detection. (Recherche de similarité de longueur variable pour l'analyse de grandes séries temporelles: appariement de séquences, recherche de motifs et anomalies). Michele Linardi
2018	—	`conf`	Matrix Profile X: VALMOD - Scalable Discovery of Variable-Length Motifs in Data Series. SIGMOD Conference Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
2018	J	`jnl`	Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach. Proc. VLDB Endow. Michele Linardi, Themis Palpanas
2018	A*	`conf`	ULISSE: ULtra Compact Index for Variable-Length Similarity Search in Data Series. ICDE Michele Linardi, Themis Palpanas
2018	—	`conf`	VALMOD: A Suite for Easy and Exact Detection of Variable Length Motifs in Data Series. SIGMOD Conference Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn J. Keogh
2017	B	`conf`	ChaseFUN: a Data Exchange Engine for Functional Dependencies at Scale. EDBT Angela Bonifati, Ioana Ileana, Michele Linardi
2016	B	`conf`	Functional Dependencies Unleashed for Scalable Data Exchange. SSDBM Angela Bonifati, Ioana Ileana, Michele Linardi
2016	J	`jnl`	Functional Dependencies Unleashed for Scalable Data Exchange. CoRR Angela Bonifati, Ioana Ileana, Michele Linardi