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)

Feature matching as improved transfer learning technique for wearable EEG. - Elisabeth R. M. Heremans; Huy Phan; Amir Hossein Ansari; Pascal Borzée; Bertien Buyse; Dries Testelmans; Maarten De Vos (Biomed. Signal Process. Control., 2022)

Improving Automatic Sleep Staging Via Temporal Smoothness Regularization. - Huy Phan; Elisabeth R. M. Heremans; Oliver Y. Chén; Philipp Koch; Alfred Mertins; Maarten De Vos (ICASSP, 2023)

Explaining Uncertainty in AI for Clinical Decision Support Systems. - Elisabeth R. M. Heremans; Maarten De Vos (PKDD/ECML Workshops (2), 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (CoRR, 2023)

L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. - Huy Phan; Kristian P. Lorenzen; Elisabeth R. M. Heremans; Oliver Y. Chén; Minh C. Tran; Philipp Koch; Alfred Mertins; Mathias Baumert; Kaare B. Mikkelsen; Maarten De Vos (IEEE J. Biomed. Health Informatics, 2023)

U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. - Elisabeth R. M. Heremans; Nabeel Seedat; Bertien Buyse; Dries Testelmans; Mihaela van der Schaar; Maarten De Vos (Comput. Biol. Medicine, 2024)

Personalization of Automatic Sleep Scoring: How Best to Adapt Models to Personal Domains in Wearable EEG. - Kristian P. Lorenzen; Elisabeth R. M. Heremans; Maarten De Vos; Kaare B. Mikkelsen (IEEE J. Biomed. Health Informatics, 2024)

Functional Near-Infrared Spectroscopy Feature Extraction with Application in Workload Estimation. - Elisabeth R. M. Heremans; David Johnston; Dimitra Emmanouilidou; Andre Golard; Ivan Tashev; Ryen White (ICASSP, 2025)