Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification. - Nick Seeuws; Amir Hossein Ansari; Sabine Van Huffel; Gunnar Naulaers (BNAIC/BENELEARN, 2019)

Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach. - Jonathan Moeyersons; John F. Morales; Nick Seeuws; Chris Van Hoof; Evelien Hermeling; Willemijn Groenendaal; Rik Willems; Sabine Van Huffel; Carolina Varon (Sensors, 2021)

Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging. - Elisabeth R. M. Heremans; Trui Osselaer; Nick Seeuws; Huy Phan; Dries Testelmans; Maarten De Vos (BHI, 2022)

EventNet: Detecting Events in EEG. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (CoRR, 2022)

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2022)

A Novel Loss for Change Point Detection Models With Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Signal Process. Lett., 2023)

A Multi-View Extension for Change Point Detection via Time-Invariant Representations. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (EUSIPCO, 2024)

A semi-supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

Correction: A semi‑supervised interactive algorithm for change point detection. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (Data Min. Knowl. Discov., 2024)

Avoiding Post-Processing With Event-Based Detection in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Biomed. Eng., 2024)

Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation. - Zhenxiang Cao; Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE Trans. Knowl. Data Eng., 2024)

A Human-in-the-Loop Method for Annotation of Events in Biomedical Signals. - Nick Seeuws; Maarten De Vos; Alexander Bertrand (IEEE J. Biomed. Health Informatics, 2025)

dtaianomaly: A Python library for time series anomaly detection. - Louis Carpentier; Nick Seeuws; Wannes Meert; Mathias Verbeke (CoRR, 2025)