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Dual filtration subdomain adaptation network for cross-subject EEG emotion recognition
She, Qingshan, Li, Yipeng, Chen, Yun, Meng, Ming, Liu, Su, Zhang, Yingchun
Published in Neurocomputing (Amsterdam) (28.07.2025)
Published in Neurocomputing (Amsterdam) (28.07.2025)
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An extended variational autoencoder for cross-subject electromyograph gesture recognition
Zhang, Zhen, Ming, Yuewei, Shen, Quming, Wang, Yanyu, Zhang, Yuhui
Published in Biomedical signal processing and control (01.01.2025)
Published in Biomedical signal processing and control (01.01.2025)
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Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition
He, Xinjie, Allison, Brendan Z., Qin, Ke, Liang, Wei, Wang, Xingyu, Cichocki, Andrzej, Jin, Jing
Published in IEEE transactions on biomedical engineering (01.11.2024)
Published in IEEE transactions on biomedical engineering (01.11.2024)
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition: Performance of Human Activity Recognition (HAR) models, particularly deep neural networks, is highly contingent upon the availability of the massive amount of annotated training data. Though, data collection and manual labeling in the HAR domain are prohibitively expensive due to human resource dependence in both steps. Hence, domain adaptation techniques are proposed to adapt the knowledge from the existing source of data. More recently, adversarial transfer learning methods have shown promisin
Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine
Published in Neurocomputing (Amsterdam) (01.08.2022)
Published in Neurocomputing (Amsterdam) (01.08.2022)
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Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition
Zhang, Xuan, Wu, Le, Zhang, Xu, Chen, Xiang, Li, Chang, Chen, Xun
Published in Journal of neural engineering (01.02.2023)
Published in Journal of neural engineering (01.02.2023)
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EEG-based cross-subject emotion recognition using multi-source domain transfer learning
Quan, Jie, Li, Ying, Wang, Lingyue, He, Renjie, Yang, Shuo, Guo, Lei
Published in Biomedical signal processing and control (01.07.2023)
Published in Biomedical signal processing and control (01.07.2023)
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Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
Yin, Zhong, Wang, Yongxiong, Liu, Li, Zhang, Wei, Zhang, Jianhua
Published in Frontiers in neurorobotics (10.04.2017)
Published in Frontiers in neurorobotics (10.04.2017)
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Multi-Classifier Fusion Based on MI–SFFS for Cross-Subject Emotion Recognition
Yang, Haihui, Huang, Shiguo, Guo, Shengwei, Sun, Guobing
Published in Entropy (Basel, Switzerland) (16.05.2022)
Published in Entropy (Basel, Switzerland) (16.05.2022)
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Subject-dependent selection of geometrical features for spontaneous emotion recognition
Sidhom, Ones, Ghazouani, Haythem, Barhoumi, Walid
Published in Multimedia tools and applications (01.01.2023)
Published in Multimedia tools and applications (01.01.2023)
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On the intra-subject similarity of hand vein patterns in biometric recognition
Kuzu, Rıdvan Salih, Maiorana, Emanuele, Campisi, Patrizio
Published in Expert systems with applications (15.04.2022)
Published in Expert systems with applications (15.04.2022)
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