Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification. - Fenglian Li; Can Wang; Xueying Zhang; Fengyun Hu; Wenhui Jia; Yuzhou Fan (BigDataService, 2019)

Fuzzy Support Vector Machine with Imbalanced Regulator and its Application in Stroke Classification. - Xueying Zhang; Xin Wei; Fenglian Li; Fengyun Hu; Wenhui Jia; Chao Wang (BigDataService, 2019)

Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness in Cerebral Hemorrhage and Ischemic Stroke Patients. - Fang Wang 027; Xueying Zhang; Fengyun Hu; Fenglian Li; Yu-Chu Tian (IEEE Access, 2019)

Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients. - Fang Wang 027; Xueying Zhang; Fengyun Hu; Fenglian Li; Yi Zhang; Yu-Chu Tian (IEEE Access, 2019)

Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification. - Fenglian Li; Yuzhou Fan; Xueying Zhang; Can Wang; Fengyun Hu; Wenhui Jia; Haisheng Hui (J. Medical Syst., 2020)

An ensemble of Xgboost models for detecting disorders of consciousness in brain injuries through EEG connectivity. - Fang Wang 027; Yu-Chu Tian; Xueying Zhang; Fengyun Hu (Expert Syst. Appl., 2022)

Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning. - Fang Wang 027; Yu-Chu Tian; Xueying Zhang; Fengyun Hu (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Improved FCM Clustering Algorithm Based on Learning Automata and its Application. - Fenglian Li; Zeyi Guo; Xueying Zhang; Jinyi Zhang; Fengyun Hu; Wenhui Jia (ICCIP, 2023)

Stroke classification based on deep reinforcement learning over stroke screening imbalanced data. - Ting Zuo; Fenglian Li; Xueying Zhang; Fengyun Hu; Lixia Huang; Wenhui Jia (Comput. Electr. Eng., 2024)