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Len Feremans
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Collaborative European neurotrauma effectiveness research in traumatic brain injury (CENTER-TBI): a prospective longitudinal observational study
AIR Maas, DK Menon, EW Steyerberg, G Citerio, F Lecky, GT Manley, ...
Neurosurgery 76 (1), 67-80, 2015
5412015
Pattern-based anomaly detection in mixed-type time series
L Feremans, V Vercruyssen, B Cule, W Meert, B Goethals
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
592020
PETSC: pattern-based embedding for time series classification
L Feremans, B Cule, B Goethals
Data Mining and Knowledge Discovery 36 (3), 1015-1061, 2022
182022
Combining instance and feature neighbours for extreme multi-label classification
L Feremans, B Cule, C Vens, B Goethals
International Journal of Data Science and Analytics 10 (3), 215-231, 2020
152020
Mining Top-k Quantile-based Cohesive Sequential Patterns
L Feremans, B Cule, B Goethals
Proceedings of the 2018 SIAM international conference on data mining, 90-98, 2018
142018
Efficient discovery of sets of co-occurring items in event sequences
B Cule, L Feremans, B Goethals
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
92016
Pattern mining for learning typical turbine response during dynamic wind turbine events
L Feremans, B Cule, C Devriendt, B Goethals, J Helsen
International Design Engineering Technical Conferences and Computers and …, 2017
82017
A framework for pattern mining and anomaly detection in multi-dimensional time series and event logs
L Feremans, V Vercruyssen, W Meert, B Cule, B Goethals
New Frontiers in Mining Complex Patterns: 8th International Workshop, NFMCP …, 2020
62020
Efficiently mining cohesion-based patterns and rules in event sequences
B Cule, L Feremans, B Goethals
Data Mining and Knowledge Discovery 33 (4), 1125-1182, 2019
62019
Fleet-oriented pattern mining combined with time series signature extraction for understanding of wind farm response to storm conditions
PJ Daems, L Feremans, T Verstraeten, B Cule, B Goethals, J Helsen
Advances in Condition Monitoring and Structural Health Monitoring: WCCM 2019 …, 2021
32021
Aspect-Oriented Refactoring
L Feremans
MS Thesis. Vrije Universiteit Brussel, 2005
32005
Efficient pattern-based anomaly detection in a network of multivariate devices
L Feremans, B Cule, B Goethals
arXiv preprint arXiv:2305.05538, 2023
12023
A neighbourhood-based location-and time-aware recommender system
L Feremans, R Verachtert, B Goethals
ACM RecSys 2022, September 23rd 2022, Seattle, WA, USA 5 (Workshop on Online …, 2022
12022
New Frontiers in Mining Complex Patterns: 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Revised …
M Ceci, C Loglisci, G Manco, E Masciari, Z Ras
Springer Nature, 2020
12020
JAsCoCME: Supporting JAsCo in the Concern Manipulation Environment
D Suvée, B De Fraine, W Vanderperren, N Joncheere, L Feremans, ...
Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective …, 2005
12005
Pattern-based Time Series Semantic Segmentation with Gradual State Transitions
L Carpentier, L Feremans, W Meert, M Verbeke
Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024
2024
Efficiently Mining Frequent Representative Motifs in Large Collections of Time Series
SJ Rotman, B Cule, L Feremans
2023 IEEE International Conference on Big Data (BigData), 66-75, 2023
2023
Pattern-based Time Series Segmentation
L Carpentier, L Feremans, W Meert, M Verbeke
37th edition of the Belgian Operational Research Society’s annual conference …, 2023
2023
A Framework for Pattern Mining and Anomaly Detection in Multi-dimensional Time Series and Event Logs
B Goethals
New Frontiers in Mining Complex Patterns: 8th International Workshop, NFMCP …, 2020
2020
Mining Cohesive Patterns in Sequences and Extreme Multi-label Classification
L Feremans
University of Antwerp, PhD thesis, 2020
2020
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Articles 1–20