Takip et
Haitao Gan (甘海涛)
Haitao Gan (甘海涛)
Hubei University of Technology
hbut.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Using clustering analysis to improve semi-supervised classification
H Gan, N Sang, R Huang, X Tong, Z Dan
Neurocomputing 101, 290-298, 2013
1732013
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
1182016
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
412018
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
382021
An entropy fusion method for feature extraction of EEG
S Chen, Z Luo, H Gan
Neural Computing and Applications 29, 857-863, 2018
362018
Local homogeneous consistent safe semi-supervised clustering
H Gan, Y Fan, Z Luo, Q Zhang
Expert Systems with Applications 97, 384-393, 2018
322018
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
302018
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
292019
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
272018
Manifold regularized semi-supervised Gaussian mixture model
H Gan, N Sang, R Huang
JOSA A 32 (4), 566-575, 2015
242015
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
232013
Dual learning-based safe semi-supervised learning
H Gan, Z Li, Y Fan, Z Luo
IEEE Access 6, 2615-2621, 2017
212017
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
212016
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
192022
Safe Semi-Supervised Fuzzy -Means Clustering
H Gan
IEEE Access 7, 95659-95664, 2019
172019
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
162021
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
142016
Semi-supervised kernel minimum squared error based on manifold structure
H Gan, N Sang, X Chen
Advances in Neural Networks–ISNN 2013: 10th International Symposium on …, 2013
142013
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
132019
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
132016
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Makaleler 1–20