632 citations · 1.7k across the 18 of their papers we have counts for
19 papers
Causal Integrated Gradients: Scalable Feature Attribution Along Causal Paths
Joran Michiels, Anis Ismail, Maarten De Vos +1
Existing feature attribution methods that account for feature dependencies do not scale to high dimensions. We propose causal integrated gradients (CIG) and causal expected gradien…
Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wards
Zhen Liu, Marta Bono, Robbe Decloedt +3
Agitation fluctuates over short time horizons in people living with dementia, yet continuous physiological information for anticipating next-day risk is limited. We assessed whethe…
SynIB: Informational Bottleneck for Maximizing Synergy in Multimodal Learning
Konstantinos Kontras, Teodora Gagaleska, Thomas Strypsteen +4
A central objective in multimodal learning is to capture synergy: task-relevant information that arises only from the joint use of multiple modalities, and is not available from an…
Multimodal wearable EEG, EMG and accelerometry measurements improve the accuracy of tonic-clonic seizure detection in-hospital
Jingwei Zhang, Lauren Swinnen, Christos Chatzichristos +23
Objective: Most current wearable tonic-clonic seizure (TCS) detection systems are based on extra-cerebral signals, such as electromyography (EMG) or accelerometry (ACC). Although m…
Explaining the Model and Feature Dependencies by Decomposition of the Shapley Value
Joran Michiels, Maarten De Vos, Johan Suykens
Shapley values have become one of the go-to methods to explain complex models to end-users. They provide a model agnostic post-hoc explanation with foundations in game theory: what…
From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research
Marco Viceconti, Maarten De Vos, Sabato Mellone +1
The idea of a systematic digital representation of the entire known human pathophysiology, which we could call the Virtual Human Twin, has been around for decades. To date, most re…