9 citations · 12 across the 3 of their papers we have counts for
5 papers
Inter-subject Deep Transfer Learning for Motor Imagery EEG Decoding
Xiaoxi Wei, Pablo Ortega, A. Aldo Faisal
Convolutional neural networks (CNNs) have become a powerful technique to decode EEG and have become the benchmark for motor imagery EEG Brain-Computer-Interface (BCI) decoding. How…
HemCNN: Deep Learning enables decoding of fNIRS cortical signals in hand grip motor tasks
Pablo Ortega, Aldo Faisal
We solve the fNIRS left/right hand force decoding problem using a data-driven approach by using a convolutional neural network architecture, the HemCNN. We test HemCNN's decoding c…
Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation
Luchen Li, Ignacio Albert-Smet, Aldo A. Faisal
Our aim is to establish a framework where reinforcement learning (RL) of optimizing interventions retrospectively allows us a regulatory compliant pathway to prospective clinical t…
Optimizing Sequential Medical Treatments with Auto-Encoding Heuristic Search in POMDPs
Luchen Li, Matthieu Komorowski, Aldo A. Faisal
Health-related data is noisy and stochastic in implying the true physiological states of patients, limiting information contained in single-moment observations for sequential clini…
The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making
Luchen Li, Matthieu Komorowski, Aldo A. Faisal
Off-policy reinforcement learning enables near-optimal policy from suboptimal experience, thereby provisions opportunity for artificial intelligence applications in healthcare. Pre…