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Len Feremans
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Pattern-based anomaly detection in mixed-type time series
L Feremans, V Vercruyssen, B Cule, W Meert, B Goethals
Joint European conference on machine learning and knowledge discovery in …, 2019
372019
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
102018
Combining Instance and Feature neighbors for Efficient Multi-label Classification
L Feremans, B Cule, C Vens, B Goethals
2017 IEEE International Conference on Data Science and Advanced Analytics …, 2017
8*2017
Efficient discovery of sets of co-occurring items in event sequences
B Cule, L Feremans, B Goethals
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
82016
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
72017
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
52019
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
International Workshop on New Frontiers in Mining Complex Patterns, 3-20, 2019
42019
Aspect-Oriented Refactoring
L Feremans
MS Thesis. Vrije Universiteit Brussel, 2005
32005
PETSC: pattern-based embedding for time series classification
L Feremans, B Cule, B Goethals
Data Mining and Knowledge Discovery 36 (3), 1015-1061, 2022
22022
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, 271-283, 2021
22021
Mining Cohesive Patterns in Sequences and Extreme Multi-label Classification: Proefschrift
L Feremans
2020
Mining Cohesive Patterns in Sequences and Extreme Multi-label Classification
L Feremans
University of Antwerp, 2020
2020
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Articles 1–12