Using clustering analysis to improve semi-supervised classification H Gan, N Sang, R Huang, X Tong, Z Dan
Neurocomputing 101, 290-298, 2013
173 2013 Improving motor imagery practice with synchronous action observation in stroke patients Y Sun, W Wei, Z Luo, H Gan, X Hu
Topics in Stroke Rehabilitation 23 (4), 245-253, 2016
122 2016 Safety-aware graph-based semi-supervised learning H Gan, Z Li, W Wu, Z Luo, R Huang
Expert Systems with Applications 107, 243-254, 2018
40 2018 An entropy fusion method for feature extraction of EEG S Chen, Z Luo, H Gan
Neural Computing and Applications 29, 857-863, 2018
36 2018 Deep learning-based carotid plaque segmentation from B-mode ultrasound images R Zhou, MR Azarpazhooh, JD Spence, S Hashemi, W Ma, X Cheng, ...
Ultrasound in medicine & biology 47 (9), 2723-2733, 2021
35 2021 Local homogeneous consistent safe semi-supervised clustering H Gan, Y Fan, Z Luo, Q Zhang
Expert Systems with Applications 97, 384-393, 2018
32 2018 Safe semi-supervised extreme learning machine for EEG signal classification Q She, B Hu, H Gan, Y Fan, T Nguyen, T Potter, Y Zhang
IEEE Access 6, 49399-49407, 2018
31 2018 Confidence-weighted safe semi-supervised clustering H Gan, Y Fan, Z Luo, R Huang, Z Yang
Engineering Applications of Artificial Intelligence 81, 107-116, 2019
28 2019 On using supervised clustering analysis to improve classification performance H Gan, R Huang, Z Luo, X Xi, Y Gao
Information Sciences 454, 216-228, 2018
27 2018 Manifold regularized semi-supervised Gaussian mixture model H Gan, N Sang, R Huang
Journal of the Optical Society of America A 32 (4), 566-575, 2015
24 2015 Dual learning-based safe semi-supervised learning H Gan, Z Li, Y Fan, Z Luo
IEEE Access 6, 2615-2621, 2017
22 2017 Self-training-based face recognition using semi-supervised linear discriminant analysis and affinity propagation H Gan, N Sang, R Huang
Journal of the Optical Society of America A 31 (1), 1-6, 2013
22 2013 Towards designing risk-based safe laplacian regularized least squares H Gan, Z Luo, Y Sun, X Xi, N Sang, R Huang
Expert Systems with Applications 45, 1-7, 2016
21 2016 An improved self-supervised learning for EEG classification Y Ou, S Sun, H Gan, R Zhou, Z Yang
Math. Biosci. Eng 19 (7), 6907-6922, 2022
18 2022 Safe Semi-Supervised Fuzzy H Gan
IEEE Access 7, 95659-95664, 2019
17 2019 Joint exploring of risky labeled and unlabeled samples for safe semi-supervised clustering L Guo, H Gan, S Xia, X Xu, T Zhou
Expert Systems with Applications 176, 114796, 2021
16 2021 A risk degree-based safe semi-supervised learning algorithm H Gan, ZZ Luo, M Meng, Y Ma, Q She
International Journal of Machine Learning and Cybernetics 7, 85-94, 2016
15 2016 Semi-supervised kernel minimum squared error based on manifold structure H Gan, N Sang, X Chen
International Symposium on Neural Networks, 265-272, 2013
14 2013 Image-dehazing method based on the fusion coding of contours and colors M Tan, T Fang, Y Fan, W Wu, Q She, H Gan
IEEE Access 7, 147857-147871, 2019
13 2019 Scale‐Dependent Signal Identification in Low‐Dimensional Subspace: Motor Imagery Task Classification Q She, H Gan, Y Ma, Z Luo, T Potter, Y Zhang
Neural Plasticity 2016 (1), 7431012, 2016
13 2016 
Nong SangHuazhong University of Science and TechnologyПідтверджена електронна адреса в hust.edu.cn
