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Работы, на которые ссылается эта работа

Работ: 281

Работа: Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

  1. Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination

    Zhong Yin, Yongxiong Wang, Li Liu +2

    Статья2017Цитирований: 2
    ABI

  2. A Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion Recognition

    Xin Chai, Qisong Wang, Yong-Ping Zhao +4

    Статья2017Цитирований: 2
    ABI

  3. Improving Cross-Day EEG-Based Emotion Classification Using Robust Principal Component Analysis

    Yuan‐Pin Lin, Ping-Keng Jao, Yi-Hsuan Yang

    Статья2017Цитирований: 2
    ABI

  4. Detecting Epilepsy in EEG Signals Using Time, Frequency and Time-Frequency Domain Features

    Daniel E. Hernández, Leonardo Trujillo, Emigdio Z-Flores +2

    Глава2018Цитирований: 2
    ABI

  5. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

    Tengfei Song, Wenming Zheng, Peng Song +1

    Статья2018Цитирований: 2
    ABI

  6. Exploring EEG Features in Cross-Subject Emotion Recognition

    Xiang Li, Dawei Song, Peng Zhang +3

    Статья2018Цитирований: 2
    ABI

  7. Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li, Naiyan Wang, Jianping Shi +2

    Статья2018Цитирований: 2
    ABI

  8. Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets

    Zirui Lan, Olga Sourina, Lipo Wang +2

    Статья2018Цитирований: 2
    ABI

  9. Multi-subject subspace alignment for non-stationary EEG-based emotion recognition

    Xin Chai, Qisong Wang, Yong-Ping Zhao +3

    Статья2018Цитирований: 2
    ABI

  10. A wavelet-based approach to emotion classification using EDA signals

    Huanghao Feng, Hosein M. Golshan, Mohammad H. Mahoor

    Статья2018Цитирований: 2
    ABI

  11. A robust data-driven approach identifies four personality types across four large data sets

    Martin Gerlach, Beatrice Farb, William Revelle +1

    Другое2018Цитирований: 2
    ABI

  12. Frontal EEG Asymmetry and Middle Line Power Difference in Discrete Emotions

    Guozhen Zhao, Yulin Zhang, Yan Ge

    Статья2018Цитирований: 2
    ABI

  13. Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals

    Vipin Gupta, Mayur Dahyabhai Chopda, Ram Bilas Pachori

    Статья2018Цитирований: 2
    ABI

  14. A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition

    Yang Li, Wenming Zheng, Yuan Zong +3

    Статья2018Цитирований: 2
    ABI

  15. Wearable EEG and beyond

    Alexander J. Casson

    Обзорная статья2019Цитирований: 2
    ABI

  16. Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition

    Jinpeng Li, Shuang Qiu, Yuanyuan Shen +2

    Статья2019Цитирований: 2
    ABI

  17. Multiple Transferable Recursive Feature Elimination Technique for Emotion Recognition Based on EEG Signals

    Jiahui Cai, Wei Chen, Zhong Yin

    Статья2019Цитирований: 2
    ABI

  18. From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

    Yang Li, Wenming Zheng, Lei Wang +2

    Статья2019Цитирований: 2
    ABI

  19. Supervised Dictionary Learning

    Julien Mairal, Francis Bach, Jean Ponce +2

    Препринт2008Цитирований: 2
    ABI

  20. Combining Inter-Subject Modeling with a Subject-Based Data Transformation to Improve Affect Recognition from EEG Signals

    Miguel Arevalillo‐Herráez, Máximo Cobos, Sandra Roger +1

    Статья2019Цитирований: 2
    ABI

  21. Learning Representations from EEG with Deep Recurrent-Convolutional\n Neural Networks

    Pouya Bashivan, Irina Rish, Mohammed Yeasin +1

    Препринт2015Цитирований: 2
    ABI

  22. Multi-method Fusion of Cross-Subject Emotion Recognition Based on High-Dimensional EEG Features

    Fu Yang, Xingcong Zhao, Wenge Jiang +2

    Статья2019Цитирований: 2
    ABI

  23. Scatter Component Analysis: A Unified Framework for Domain Adaptation and Domain Generalization

    Muhammad Ghifary, David Balduzzi, W. Bastiaan Kleijn +1

    Статья2016Цитирований: 2
    ABI

  24. Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning

    Yuan‐Pin Lin

    Статья2019Цитирований: 2
    ABI

  25. Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals

    Yun Lu, Mingjiang Wang, Wanqing Wu +3

    Статья2019Цитирований: 2
    ABI