| 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 | 559 | 2015 |
| 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 | 64 | 2020 |
| PETSC: pattern-based embedding for time series classification L Feremans, B Cule, B Goethals Data Mining and Knowledge Discovery 36 (3), 1015-1061, 2022 | 24 | 2022 |
| 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 | 15 | 2020 |
| 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 | 14 | 2018 |
| 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 | 9 | 2016 |
| 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 | 8 | 2017 |
| 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 | 6 | 2020 |
| 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 | 6 | 2019 |
| 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 | 3 | 2021 |
| Aspect-Oriented Refactoring L Feremans MS Thesis. Vrije Universiteit Brussel, 2005 | 3 | 2005 |
| Efficient pattern-based anomaly detection in a network of multivariate devices L Feremans, B Cule, B Goethals arXiv preprint arXiv:2305.05538, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 | 1 | 2023 |
| 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 | 1 | 2005 |
| 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 |
| 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 |
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
