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Researcher
Nick Seeuws
- Disciplines:Biomedical signal processing
Affiliations
- Declarative Languages and Artificial Intelligence (DTAI) (Division)
Member
From4 Mar 2024 → Today - Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From1 Sep 2019 → 31 Jul 2020
Projects
1 - 1 of 1
- Detection of Disturbances and Events in Biomedical Signals with Deep LearningFrom18 Sep 2019 → 1 Mar 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 5 of 5
- Detection of Disturbances and Events in Biomedical Signals with Deep Learning(2024)
Authors: Nick Seeuws, Alexander Bertrand, Maarten De Vos
- A novel loss for change point detection models with time-invariant representations(2023)
Authors: Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand
Pages: 1737 - 1741 - Electrocardiogram Quality Assessment using Unsupervised Deep Learning(2022)
Authors: Nick Seeuws, Maarten De Vos, Alexander Bertrand
Pages: 882 - 893 - Data augmentation in semi-supervised adversarial domain adaptation for EEG-based sleep staging(2022)
Authors: Elisabeth Heremans, Nick Seeuws, Dries Testelmans, Maarten De Vos
Number of pages: 4 - Artefact Detection in Impedance Pneumography Signals: A Machine Learning Approach(2021)
Authors: Nick Seeuws, Chris Van Hoof, Rik Willems, Sabine Van Huffel, Carolina Varon Perez