Search Results - "Adversarial training" :: K.UTB vyhledávací portál

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Improving Cross-State and Cross-Subject Visual ERP-Based BCI With Temporal Modeling and Adversarial Training

by Ni, Ziyi, Xu, Jiaming, Wu, Yuwei, Li, Mengfan, Xu, Guizhi, Xu, Bo
Published in IEEE transactions on neural systems and rehabilitation engineering (2022)

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An Intersubject Brain-Computer Interface Based on Domain-Adversarial Training of Convolutional Neural Network

by Chen, Di, Huang, Haiyun, Guan, Zijing, Pan, Jiahui, Li, Yuanqing
Published in IEEE transactions on biomedical engineering (01.10.2024)

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Cross-Subject EEG-Based Emotion Recognition Using Deep Metric Learning and Adversarial Training

by Alameer, Hawraa Razzaq Abed, Salehpour, Pedram, Hadi Aghdasi, Seyyed, Feizi-Derakhshi, Mohammad-Reza
Published in IEEE access (2024)

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MI-EEG: Generalized model based on mutual information for EEG emotion recognition without adversarial training

by Wang, Yingdong, Wu, Qingfeng, Wang, Shuocheng, Fang, XiQiao, Ruan, Qungsheng
Published in Expert systems with applications (15.06.2024)

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Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs

by Chen, Xiaoqing, Wang, Ziwei, Wu, Dongrui
Published in IEEE transactions on neural systems and rehabilitation engineering (2024)

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Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images

by Gao, Mingjie, Fessler, Jeffrey A., Chan, Heang-Ping
Published in IEEE transactions on medical imaging (01.07.2021)

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A Unified User-Generic Framework for Myoelectric Pattern Recognition: Mix-Up and Adversarial Training for Domain Generalization and Adaptation

by Li, Xinhui, Zhang, Xu, Chen, Xiang, Chen, Xun, Zhang, Liwei
Published in IEEE transactions on biomedical engineering (01.08.2023)

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Arterial Blood Pressure Waveform Estimation from Photoplethysmogram Under Inter-Subject Paradigm Using Subject-Distinguishable Dataset by U-Net and Domain Adversarial Training

by Yoshizawa, Rikuto, Yamamoto, Kohei, Ohtsuki, Tomoaki
Published in IEEE International Conference on Communications (2003) (28.05.2023)

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Feature separation and adversarial training for the patient-independent detection of epileptic seizures

by Yang, Yong, Li, Feng, Qin, Xiaolin, Wen, Han, Lin, Xiaoguang, Huang, Dong
Published in Frontiers in computational neuroscience (19.07.2023)

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Trade-Off Between Robustness and Rewards Adversarial Training for Deep Reinforcement Learning Under Large Perturbations

by Huang, Jeffrey, Choi, Ho Jin, Figueroa, Nadia
Published in IEEE robotics and automation letters (01.12.2023)

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Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training

by Wang, Dai, Liu, Aiping, Xue, Bo, Wu, Le, Chen, Xun
Published in Medicine in novel technology and devices (01.06.2023)

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Omni-Supervised Domain Adversarial Training for White Matter Hyperintensity Segmentation in the UK Biobank

by Sundaresan, Vaanathi, Dinsdale, Nicola K, Jenkinson, Mark, Griffanti, Ludovica
Published in Proceedings (International Symposium on Biomedical Imaging) (28.03.2022)

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Generative Adversarial Training for MRA Image Synthesis Using Multi-contrast MRI

by Olut, Sahin, Sahin, Yusuf H., Demir, Ugur, Unal, Gozde
Published in PRedictive Intelligence in MEdicine (13.09.2018)

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Cross-subject Cognitive Workload Recognition Based on EEG and Deep Domain Adaptation

by Zhou, Yueying, Wang, Pengpai, Gong, Peiliang, Wei, Fulin, Wen, Xuyun, Wu, Xia, Zhang, Daoqiang
Published in IEEE transactions on instrumentation and measurement (01.01.2023)

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BLSAN: A Brain Lateralization-Guided Subject Adaptive Network for Motor Imagery Classification

by Wei, Fulin, Xu, Xueyuan, Li, Qing, Li, Xiuxing, Wu, Xia
Published in IEEE signal processing letters (2024)

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Enhancing Social Recommendation With Adversarial Graph Convolutional Networks

by Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi, Cui, Lizhen
Published in IEEE transactions on knowledge and data engineering (01.08.2022)

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Enhancing and Shaping Closed-Loop Co-Adaptive Myoelectric Interfaces With Scenario-Guided Adaptive Incremental Learning

by Li, Wei, Shao, Jiang, Shi, Ping, Li, Sujiao, Yu, Hongliu
Published in IEEE journal of biomedical and health informatics (07.05.2025)

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Across Sessions and Subjects Domain Adaptation for Building Robust Myoelectric Interface

by Li, Wei, Zhang, Xinran, Shi, Ping, Li, Sujiao, Li, Ping, Yu, Hongliu
Published in IEEE transactions on neural systems and rehabilitation engineering (2024)

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Entity relation joint extraction model combining pointer network and attention mechanism based on relative position embedding

by Liu, Wei, Xu, Jun, Xu, Chunsheng
Year of Publication 19.02.2024

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Conference Proceeding

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Adversarial Training for Probabilistic Spiking Neural Networks

by Bagheri, Alireza, Simeone, Osvaldo, Rajendran, Bipin
Published in SPAWC : signal processing advances in wireless communications (01.06.2018)

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