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custom-domain-adaptation

Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition

il2fs

mfa-lr

This repository contains the code for our proposed method "Multi-source Feature Alignment and Label Rectification" (MFA-LR), which has been published in the paper "Learning a Robust Unified Domain Adaptation Framework for Cross-subject EEG-based Emotion Recognition."

recresnet

Cross-subject classification of cognitive loads using a recurrent-residual deep network

study-of-negative-transfer

This repository contains implementations of the best methods reported in the paper "A study of the effects of negative transfer on deep unsupervised domain adaptation methods", which were applied over synthetic data and three different real datasets for emotion recognition.