EMG-based cross-subject silent speech recognition using conditional domain adversarial network
Y Zhang, H Cai, J Wu, L Xie, M Xu… - … on Cognitive and …, 2023 - ieeexplore.ieee.org
Machine learning techniques have achieved great success in electromyography (EMG)
decoding, but EMG-based cross-subject silent speech recognition (SSR) received less …
decoding, but EMG-based cross-subject silent speech recognition (SSR) received less …
Domain adversarial tangent subspace alignment for explainable domain adaptation
C Raab, M Röder, FM Schleif - Neurocomputing, 2022 - Elsevier
Deep learning is reaching state of the art in many applications. However, the generalization
capabilities of the learned networks are limited to the training or source domain. The …
capabilities of the learned networks are limited to the training or source domain. The …
Semi‐supervised breast histopathological image classification with self‐training based on non‐linear distance metric
K Liu, Z Liu, S Liu - IET Image Processing, 2022 - Wiley Online Library
Histopathological analysis requires a lot of clinical experience and time for pathologists.
Artificial intelligence (AI) may have an important role in assisting pathologists and leading to …
Artificial intelligence (AI) may have an important role in assisting pathologists and leading to …