3 papers
cs.CV2026
Active Inference for Micro-Gesture Recognition: EFE-Guided Temporal Sampling and Adaptive Learning
Weijia Feng, Jingyu Yang, Ruojia Zhang +7
Micro-gestures are subtle and transient movements triggered by unconscious neural and emotional activities, holding great potential for human-computer interaction and clinical moni…
cs.LG2025
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
Behtom Adeli, John Mclinden, Pankaj Pandey +2
In recent years, deep learning (DL) approaches have demonstrated promising results in decoding hemodynamic responses captured by functional near-infrared spectroscopy (fNIRS), part…
cs.LG2025
Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
Behtom Adeli, John McLinden, Pankaj Pandey +2
Activation functions are critical to the performance of deep neural networks, particularly in domains such as functional near-infrared spectroscopy (fNIRS), where nonlinearity, low…