10 citations · 13 across the 7 of their papers we have counts for
7 papers
Increasing Performance And Sample Efficiency With Model-agnostic Interactive Feature Attributions
Joran Michiels, Maarten De Vos, Johan Suykens
Model-agnostic feature attributions can provide local insights in complex ML models. If the explanation is correct, a domain expert can validate and trust the model's decision. How…
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging
Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse +3
As machine learning becomes increasingly prevalent in critical fields such as healthcare, ensuring the safety and reliability of machine learning systems becomes paramount. A key c…
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities
Konstantinos Kontras, Christos Chatzichristos, Huy Phan +2
Sleep abnormalities can have severe health consequences. Automated sleep staging, i.e. labelling the sequence of sleep stages from the patient's physiological recordings, could sim…
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging
Huy Phan, Kristian P. Lorenzen, Elisabeth Heremans +7
Human sleep is cyclical with a period of approximately 90 minutes, implying long temporal dependency in the sleep data. Yet, exploring this long-term dependency when developing sle…
Avoiding Post-Processing with Event-Based Detection in Biomedical Signals
Nick Seeuws, Maarten De Vos, Alexander Bertrand
Objective: Finding events of interest is a common task in biomedical signal processing. The detection of epileptic seizures and signal artefacts are two key examples. Epoch-based c…
Practical Reasoning with Norms for Autonomous Software Agents (Full Edition)
Zohreh Shams, Marina De Vos, Julian Padget +1
Autonomous software agents operating in dynamic environments need to constantly reason about actions in pursuit of their goals, while taking into consideration norms which might be…