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Dual Learning-Based Safe Semi-Supervised Learning., , , and . IEEE Access, (2018)Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine., , , , , and . Medical Biol. Eng. Comput., 58 (9): 2119-2130 (2020)Driving Fatigue Detection from EEG Using a Modified PCANet Method., , , , , , , and . Comput. Intell. Neurosci., (2019)Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors., , , and . Sensors, 17 (6): 1229 (2017)Surface Electromyography-Based Daily Activity Recognition Using Wavelet Coherence Coefficient and Support Vector Machine., , , , and . Neural Processing Letters, 50 (3): 2265-2280 (2019)Feature-Level Fusion of Surface Electromyography for Activity Monitoring., , and . Sensors, 18 (2): 614 (2018)Feature Extraction of Surface Electromyography Based on Improved Small-World Leaky Echo State Network., , , , , , and . Neural Comput., 32 (4): 741-758 (2020)Confidence-weighted safe semi-supervised clustering., , , , and . Eng. Appl. Artif. Intell., (2019)A deep subdomain associate adaptation network for cross-session and cross-subject EEG emotion recognition., , , , and . Biomed. Signal Process. Control., (2022)Enhanced EEG-EMG coherence analysis based on hand movements., , , , , , and . Biomed. Signal Process. Control., (2020)