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A novel semi-supervised meta learning method for subject-transfer brain–computer interface
Li, Jingcong, Wang, Fei, Huang, Haiyun, Qi, Feifei, Pan, Jiahui
Published in Neural networks (01.06.2023)
Published in Neural networks (01.06.2023)
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MGFKD: A semi-supervised multi-source domain adaptation algorithm for cross-subject EEG emotion recognition
Zhang, Rui, Guo, Huifeng, Xu, Zongxin, Hu, Yuxia, Chen, Mingming, Zhang, Lipeng
Published in Brain research bulletin (01.03.2024)
Published in Brain research bulletin (01.03.2024)
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COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search
Li, Yuchen, Xiong, Haoyi, Wang, Qingzhong, Kong, Linghe, Liu, Hao, Li, Haifang, Bian, Jiang, Wang, Shuaiqiang, Chen, Guihai, Dou, Dejing, Yin, Dawei
Published in IEEE transactions on knowledge and data engineering (01.12.2023)
Published in IEEE transactions on knowledge and data engineering (01.12.2023)
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Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification
Jiang, Xue, Meng, Lubin, Wang, Ziwei, Wu, Dongrui
Published in IEEE transactions on biomedical engineering (01.04.2024)
Published in IEEE transactions on biomedical engineering (01.04.2024)
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Driver Distraction Detection Using Semi-Supervised Machine Learning
Liu, Tianchi, Yang, Yan, Huang, Guang-Bin, Yeo, Yong Kiang, Lin, Zhiping
Published in IEEE transactions on intelligent transportation systems (01.04.2016)
Published in IEEE transactions on intelligent transportation systems (01.04.2016)
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Generic semi-supervised adversarial subject translation for sensor-based activity recognition
Soleimani, Elnaz, Khodabandelou, Ghazaleh, Chibani, Abdelghani, Amirat, Yacine
Published in Neurocomputing (Amsterdam) (21.08.2022)
Published in Neurocomputing (Amsterdam) (21.08.2022)
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Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images
Yu, Gang, Sun, Kai, Xu, Chao, Shi, Xing-Hua, Wu, Chong, Xie, Ting, Meng, Run-Qi, Meng, Xiang-He, Wang, Kuan-Song, Xiao, Hong-Mei, Deng, Hong-Wen
Published in Nature communications (02.11.2021)
Published in Nature communications (02.11.2021)
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Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification
Zhang, Fan, Wu, Hanliang, Guo, Yuxin
Published in Medical & biological engineering & computing (01.06.2024)
Published in Medical & biological engineering & computing (01.06.2024)
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Three autism subtypes based on single-subject gray matter network revealed by semi-supervised machine learning
Xu, Guomei, Geng, Guohong, Wang, Ankang, Li, Zhangyong, Liu, Zhichao, Liu, Yanping, Hu, Jun, Wang, Wei, Li, Xinwei
Published in Autism research (01.10.2024)
Published in Autism research (01.10.2024)
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Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images
Shi, Feng, Chen, Bojiang, Cao, Qiqi, Wei, Ying, Zhou, Qing, Zhang, Rui, Zhou, Yaojie, Yang, Wenjie, Wang, Xiang, Fan, Rongrong, Yang, Fan, Chen, Yanbo, Li, Weimin, Gao, Yaozong, Shen, Dinggang
Published in IEEE transactions on medical imaging (01.04.2022)
Published in IEEE transactions on medical imaging (01.04.2022)
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Multimodal Semi-Supervised Domain Adaptation Using Cross-Modal Learning and Joint Distribution Alignment for Cross-Subject Emotion Recognition
Jimenez-Guarneros, Magdiel, Fuentes-Pineda, Gibran, Grande-Barreto, Jonas
Published in IEEE transactions on instrumentation and measurement (2025)
Published in IEEE transactions on instrumentation and measurement (2025)
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Using Semi-Supervised Domain Adaptation to Enhance EEG-Based Cross-Task Mental Workload Classification Performance
Wang, Tao, Ke, Yufeng, Huang, Yichao, He, Feng, Zhong, Wenxiao, Liu, Shuang, Ming, Dong
Published in IEEE journal of biomedical and health informatics (01.12.2024)
Published in IEEE journal of biomedical and health informatics (01.12.2024)
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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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Semi-supervised subject recognition in low-modal sensor data
Tiwari, Shivam, Dhekane, Sourish Gunesh, Vajra, Krishnam, Banerjee, Dip Sankar
Published in Ad hoc networks (15.04.2021)
Published in Ad hoc networks (15.04.2021)
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Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals
Zali-Vargahan, Behrooz, Charmin, Asghar, Kalbkhani, Hashem, Barghandan, Saeed
Published in Biomedical signal processing and control (01.08.2023)
Published in Biomedical signal processing and control (01.08.2023)
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