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LMSVCR: novel effective method of semi-supervised multi-classification Journal article
Neural Computing and Applications, 2022,Volume: 34,Issue: 5,Page: 3857-3873
Authors:  Dong, Zijie;  Qin, Yimo;  Zou, Bin;  Xu, Jie;  Tang, Yuan Yan
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/03/28
Laplacian Svm  Learning Rate  Multi-classification  Semi-supervised Learning  Support Vector Classification-regression  
Fusing Frequency-Domain Features and Brain Connectivity Features for Cross-Subject Emotion Recognition Journal article
IEEE Transactions on Instrumentation and Measurement, 2022
Authors:  Chen, Chuangquan;  Li, Zhencheng;  Wan, Feng;  Xu, Leicai;  Bezerianos, Anastasios;  Wang, Hongtao
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
approximate empirical kernel map  brain connectivity features  cross-subject emotion recognition  Electroencephalography  Emotion recognition  Feature extraction  frequency domain features  Frequency-domain analysis  fused features  Kernel  Motion pictures  Support vector machines  
Local Correntropy Matrix Representation for Hyperspectral Image Classification Journal article
IEEE Transactions on Geoscience and Remote Sensing, 2022,Volume: 60
Authors:  Zhang, Xinyu;  Wei, Yantao;  Cao, Weijia;  Yao, Huang;  Peng, Jiangtao;  Zhou, Yicong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
Correntropy matrix  feature extraction  hyperspectral image (HSI) classification  
Prediction of small-molecule compound solubility in organic solvents by machine learning algorithms Journal article
Journal of Cheminformatics, 2021,Volume: 13,Issue: 1
Authors:  Ye, Zhuyifan;  Ouyang, Defang
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/01/14
Deep Learning  Lightgbm  Machine Learning  Organic Solvents  Qspr  Solubility Prediction  
Semi-supervised multi-Layer convolution kernel learning in credit evaluation Journal article
Pattern Recognition, 2021,Volume: 120
Authors:  Xu, Lixiang;  Cui, Lixin;  Weise, Thomas;  Li, Xinlu;  Wu, Zhize;  Nie, Feiping;  Chen, Enhong;  Tang, Yuanyan
Favorite |  | TC[WOS]:4 TC[Scopus]:6 | Submit date:2021/12/09
Convolution Kernel Function  Multi-layer Kernel  Random Sampling  Semi-supervised Learning  Svm  
Serum levels of miR-21-5p and miR-339-5p associate with occupational trichloroethylene hypersensitivity syndrome Journal article
Journal of Occupational Medicine and Toxicology, 2021,Volume: 16,Issue: 1
Authors:  Liu, Wei;  Zheng, Jian;  Ren, Xiaohu;  Xie, Yuxuan;  Lin, Dafeng;  Li, Peimao;  Lv, Yuan;  Hoi, Maggie Pui Man;  Zhang, Yanfang;  Liu, Jianjun
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2021/12/09
Biomarkers  Diagnostic Model  Mirnas  Trichloroethylene  Trichloroethylene Hypersensitivity Syndrome  
Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems Journal article
Frontiers in Energy Research, 2021,Volume: 9
Authors:  Chen, Tao;  Song, Meng;  Hui, Hongxun;  Long, Huan
Favorite |  | TC[WOS]:2 TC[Scopus]:3 | Submit date:2021/12/08
Battery Electrode Property Prediction  Battery Parameter Analysis  Data-driven Model  Energy Storage System  Lithium-ion Battery  
Brain network excitatory/inhibitory imbalance is a biomarker for drug-naive Rolandic epilepsy: A radiomics strategy Journal article
Epilepsia, 2021,Volume: 62,Issue: 10,Page: 2426-2438
Authors:  Dai, Xi Jian;  Liu, Heng;  Yang, Yang;  Wang, Yongjun;  Wan, Feng
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/12/08
Benign Epilepsy Of Childhood With Centro-temporal Spikes  Classification  Cognitive Network  Dynamic Causal Modeling  Excitation And Inhibition Imbalance  Machine Learning  Rolandic Epilepsy  Support Vector Machine  
OAA-SVM-MS: A fast and efficient multi-class classification algorithm Journal article
Neurocomputing, 2021,Volume: 454,Page: 448-460
Authors:  Duan, Yuze;  Zou, Bin;  Xu, Jie;  Chen, Fen;  Wei, Jiaolong;  Tang, Yuan Yan
Favorite |  | TC[WOS]:1 TC[Scopus]:3 | Submit date:2021/12/08
One-against-all  Multi-class  Svm  Generalization Bound  
Brain rhythm sequencing and its application for EEG-based emotion recognition Conference paper
CIVEMSA 2021 - IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings, Hong Kong, China, 18-20 June 2021
Authors:  Li, Jia Wen;  Barma, Shovan;  Pun, Sio Hang;  Vai, Mang I.;  Wan, Feng;  Liu, Wai Sun;  Un Mak, Peng
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/12/08
Brain Rhythm Sequencing  Electroencephalography (Eeg)  Emotion Recognition  Optimal Feature  Support Vector Machine (Svm)