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Journal Articles
- 2024
[j6]Zhenxiang Cao
, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A semi-supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 623-651 (2024)- [j5]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Correction: A semi‑supervised interactive algorithm for change point detection. Data Min. Knowl. Discov. 38(2): 652 (2024) - [j4]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. IEEE Trans. Biomed. Eng. 71(8): 2442-2453 (2024) - 2023
- [j3]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Novel Loss for Change Point Detection Models With Time-Invariant Representations. IEEE Signal Process. Lett. 30: 1737-1741 (2023) - 2022
- [j2]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. IEEE Trans. Biomed. Eng. 69(2): 882-893 (2022) - 2021
- [j1]Jonathan Moeyersons, John F. Morales, Nick Seeuws, Chris Van Hoof, Evelien Hermeling, Willemijn Groenendaal, Rik Willems, Sabine Van Huffel, Carolina Varon:
Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach. Sensors 21(8): 2613 (2021)
Conference and Workshop Papers
- 2024
- [c3]Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Multi-View Extension for Change Point Detection via Time-Invariant Representations. EUSIPCO 2024: 2732-2736 - 2022
- [c2]Elisabeth R. M. Heremans, Trui Osselaer, Nick Seeuws, Huy Phan, Dries Testelmans, Maarten De Vos:
Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. BHI 2022: 1-4 - 2019
- [c1]Nick Seeuws, Amir Hossein Ansari, Sabine Van Huffel, Gunnar Naulaers:
Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification. BNAIC/BENELEARN 2019
Informal and Other Publications
- 2022
- [i1]Nick Seeuws, Maarten De Vos, Alexander Bertrand:
EventNet: Detecting Events in EEG. CoRR abs/2209.11007 (2022)
Coauthor Index
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