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Fengyun Hu
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 9
Top Topics
Learning Automaton
Ischemic Stroke
Fuzzy Support Vector Machine
Imbalanced Datasets
Top Venues
BigDataService
IEEE Access
IEEE Trans. Emerg. Top. Comput. Intell.
Comput. Electr. Eng.
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Publications
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Ting Zuo
,
Fenglian Li
,
Xueying Zhang
,
Fengyun Hu
,
Lixia Huang
,
Wenhui Jia
Stroke classification based on deep reinforcement learning over stroke screening imbalanced data.
Comput. Electr. Eng.
114 (2024)
Fenglian Li
,
Zeyi Guo
,
Xueying Zhang
,
Jinyi Zhang
,
Fengyun Hu
,
Wenhui Jia
Improved FCM Clustering Algorithm Based on Learning Automata and its Application.
ICCIP
(2023)
Fang Wang
,
Yu-Chu Tian
,
Xueying Zhang
,
Fengyun Hu
An ensemble of Xgboost models for detecting disorders of consciousness in brain injuries through EEG connectivity.
Expert Syst. Appl.
198 (2022)
Fang Wang
,
Yu-Chu Tian
,
Xueying Zhang
,
Fengyun Hu
Detecting Disorders of Consciousness in Brain Injuries From EEG Connectivity Through Machine Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
6 (1) (2022)
Fenglian Li
,
Yuzhou Fan
,
Xueying Zhang
,
Can Wang
,
Fengyun Hu
,
Wenhui Jia
,
Haisheng Hui
Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification.
J. Medical Syst.
44 (2) (2020)
Fang Wang
,
Xueying Zhang
,
Fengyun Hu
,
Fenglian Li
,
Yu-Chu Tian
Quantitative Electroencephalography Analysis for Improved Assessment of Consciousness in Cerebral Hemorrhage and Ischemic Stroke Patients.
IEEE Access
7 (2019)
Xueying Zhang
,
Xin Wei
,
Fenglian Li
,
Fengyun Hu
,
Wenhui Jia
,
Chao Wang
Fuzzy Support Vector Machine with Imbalanced Regulator and its Application in Stroke Classification.
BigDataService
(2019)
Fang Wang
,
Xueying Zhang
,
Fengyun Hu
,
Fenglian Li
,
Yi Zhang
,
Yu-Chu Tian
Using Phase Synchrony Index for Improved Assessment of Consciousness in Ischemic Stroke Patients.
IEEE Access
7 (2019)
Fenglian Li
,
Can Wang
,
Xueying Zhang
,
Fengyun Hu
,
Wenhui Jia
,
Yuzhou Fan
Features of Hierarchical Fuzzy Entropy of Stroke Based on EEG Signal and Its Application in Stroke Classification.
BigDataService
(2019)