Nick Seeuws

According to our database, Nick Seeuws authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., December, 2024

Avoiding Post-Processing With Event-Based Detection in Biomedical Signals.

Nick Seeuws, Maarten De Vos, Alexander Bertrand

IEEE Trans. Biomed. Eng., August, 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

A semi-supervised interactive algorithm for change point detection.

Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand

Data Min. Knowl. Discov., 2024

A Multi-View Extension for Change Point Detection via Time-Invariant Representations.

Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

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

2022

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning.

Nick Seeuws, Maarten De Vos, Alexander Bertrand

IEEE Trans. Biomed. Eng., 2022

EventNet: Detecting Events in EEG.

Nick Seeuws, Maarten De Vos, Alexander Bertrand

CoRR, 2022

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

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

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

2019

Unsupervised Deep Feature Extraction for Neonatal Sleep Stage Classification.

Nick Seeuws, Amir Hossein Ansari, Sabine Van Huffel, Gunnar Naulaers

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019