Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 2016 von Wu, Dongrui, Xu, Yifan, Lu, Bao-Liang

Volltext

EmotionMeter: A Multimodal Framework for Recognizing Human Emotions von Zheng, Wei-Long, Liu, Wei, Lu, Yifei, Lu, Bao-Liang, Cichocki, Andrzej

Volltext

Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks von Zheng, Wei-Long, Lu, Bao-Liang

Volltext

Affective Brain-Computer Interfaces (aBCIs): A Tutorial von Wu, Dongrui, Lu, Bao-Liang, Hu, Bin, Zeng, Zhigang

Volltext

Emotional state classification from EEG data using machine learning approach von Wang, Xiao-Wei, Nie, Dan, Lu, Bao-Liang

Volltext

OGSSL: A Semi-Supervised Classification Model Coupled with Optimal Graph Learning for EEG Emotion Recognition von Peng, Yong, Jin, Fengzhe, Kong, Wanzeng, Nie, Feiping, Lu, Bao-Liang, Cichocki, Andrzej

Volltext

Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition von Liu, Wei, Qiu, Jie-Lin, Zheng, Wei-Long, Lu, Bao-Liang

Volltext

Cross-session Emotion Recognition by Joint Label-common and Label-specific EEG Features Exploration von Peng, Yong, Liu, Honggang, Li, Junhua, Huang, Jun, Lu, Bao-Liang, Kong, Wanzeng

Volltext

Emotion Recognition Using Multimodal Deep Learning von Liu, Wei, Zheng, Wei-Long, Lu, Bao-Liang

Volltext

Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD von Mu Li, Wei Bi, Kwok, James T., Bao-Liang Lu

Volltext

Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition von Peng, Yong, Liu, Honggang, Kong, Wanzeng, Nie, Feiping, Lu, Bao-Liang, Cichocki, Andrzej

Volltext

Efficient Sample and Feature Importance Mining in Semi-Supervised EEG Emotion Recognition von Li, Xing, Shen, Fangyao, Peng, Yong, Kong, Wanzeng, Lu, Bao-Liang

Volltext

Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment von Zheng, Wei-Long, Gao, Kunpeng, Li, Gang, Liu, Wei, Liu, Chao, Liu, Jing-Quan, Wang, Guoxing, Lu, Bao-Liang

Volltext

EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes von Yimin Yang, Wu, Q. M. Jonathan, Wei-Long Zheng, Bao-Liang Lu

Volltext

Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition von Wang, Yixin, Qiu, Shuang, Li, Dan, Du, Changde, Lu, Bao-Liang, He, Huiguang

Volltext

Cross-Subject Emotion Recognition Using Deep Adaptation Networks von Li, He, Jin, Yi-Ming, Zheng, Wei-Long, Lu, Bao-Liang

Volltext

Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining von Peng, Yong, Kong, Wanzeng, Qin, Feiwei, Nie, Feiping, Fang, Jinglong, Lu, Bao-Liang, Cichocki, Andrzej

Volltext

Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals von Peng, Yong, Wang, Wenjuan, Kong, Wanzeng, Nie, Feiping, Lu, Bao-Liang, Cichocki, Andrzej

Volltext

An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection von Zhang, Yikai, Guo, Ruiqi, Peng, Yong, Kong, Wanzeng, Nie, Feiping, Lu, Bao-Liang

Volltext

Multimodal Vigilance Estimation Using Deep Learning von Wu, Wei, Sun, Wei, Wu, Q. M. Jonathan, Yang, Yimin, Zhang, Hui, Zheng, Wei-Long, Lu, Bao-Liang

Volltext