Len Feremans - RankMe

17 papers A 2B 4Journal 4Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MotiPlus and MotiSet: Discovering the Best Set of Motiflets in Time Series. ECML/PKDD (7) Len Feremans, Patrick Schäfer, Wannes Meert
2025	B	`conf`	Scalable Evaluation of Rule-Based Recommender Systems: Algorithms and Benchmarks. RuleML+RR Len Feremans, Bart Goethals
2025	—	`conf`	Sequential Rule Analysis of ICU Patient Vital Signals and Alarms. ECML/PKDD (9) Michela Venturini, Len Feremans, Wouter De Corte, Celine Vens
2024	A	`conf`	Pattern-based Time Series Semantic Segmentation with Gradual State Transitions. SDM Louis Carpentier, Len Feremans, Wannes Meert, Mathias Verbeke
2024	B	`conf`	Session-based News Recommendation Using Cohesive Patterns. IEEE Big Data Mozhgan Karimi, Len Feremans, Boris Cule, Bart Goethals
2023	J	`jnl`	Efficient pattern-based anomaly detection in a network of multivariate devices. CoRR Len Feremans, Boris Cule, Bart Goethals
2023	B	`conf`	Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series. IEEE Big Data Stijn J. Rotman, Boris Cule, Len Feremans
2022	—	`conf`	A Neighbourhood-based Location- and Time-aware Recommender System. ORSUM@RecSys Len Feremans, Robin Verachtert, Bart Goethals
2022	J	`jnl`	PETSC: pattern-based embedding for time series classification. Data Min. Knowl. Discov. Len Feremans, Boris Cule, Bart Goethals
2020	J	`jnl`	Combining instance and feature neighbours for extreme multi-label classification. Int. J. Data Sci. Anal. Len Feremans, Boris Cule, Celine Vens, Bart Goethals
2020	—	`—`	Mining cohesive patterns in sequences and extreme multi-label classification Len Feremans
2019	—	`conf`	A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs. NFMCP@PKDD/ECML Len Feremans, Vincent Vercruyssen, Wannes Meert, Boris Cule, Bart Goethals
2019	J	`jnl`	Efficiently mining cohesion-based patterns and rules in event sequences. Data Min. Knowl. Discov. Boris Cule, Len Feremans, Bart Goethals
2019	—	`conf`	Pattern-Based Anomaly Detection in Mixed-Type Time Series. ECML/PKDD (1) Len Feremans, Vincent Vercruyssen, Boris Cule, Wannes Meert, Bart Goethals
2018	A	`conf`	Mining Top- SDM Len Feremans, Boris Cule, Bart Goethals
2017	B	`conf`	Combining Instance and Feature Neighbors for Efficient Multi-label Classification. DSAA Len Feremans, Boris Cule, Celine Vens, Bart Goethals
2016	—	`conf`	Efficient Discovery of Sets of Co-occurring Items in Event Sequences. ECML/PKDD (1) Boris Cule, Len Feremans, Bart Goethals