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cs.LG2026
EMG-GPT: Predictive Pretraining on Residual-Quantized EMG Tokens for Hand Pose Estimation
Ettore Magni, Rolandos Alexandros Potamias, Stefanos Zafeiriou +1
Surface electromyography (sEMG) is a low-power, cost-effective biosignal for hand-pose estimation and gesture classification. In this work, we examine whether self-supervised pretr…
cs.LG2023
Multimodal brain age estimation using interpretable adaptive population-graph learning
Kyriaki-Margarita Bintsi, Vasileios Baltatzis, Rolandos Alexandros Potamias +2
Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which inclu…