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Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression Journal article
Duan, Junwei, Yao, Shiyi, Tan, Jiantao, Liu, Yang, Chen, Long, Zhang, Zhen, Chen, C. L.P.. Extreme Fuzzy Broad Learning System: Algorithm, Frequency Principle, and Applications in Classification and Regression[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024.
Authors:  Duan, Junwei;  Yao, Shiyi;  Tan, Jiantao;  Liu, Yang;  Chen, Long; et al.
Favorite | TC[WOS]:2 TC[Scopus]:1  IF:10.2/10.4 | Submit date：2024/05/16
Broad Learning System (Bls)  Classification  Deep Neural Network  Feature Extraction  Frequency Principle  Fuzzy Extreme Learning Machine (Elm)  Learning Systems  Mathematical Models  Neural Networks  Regression  Stacking  Task Analysis  Training  
Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets Journal article
Liu, Liu, Ding, Zhijun, Cheng, Dazhao, Zhou, Xiaobo. Locality-aware and Fault-tolerant Batching for Machine Learning on Distributed Datasets[J]. IEEE Transactions on Cloud Computing, 2024, 12(2), 370-387.
Authors:  Liu, Liu;  Ding, Zhijun;  Cheng, Dazhao;  Zhou, Xiaobo
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/4.6 | Submit date：2024/05/16
Adaptation Models  Byzantine Gradient  Computational Modeling  Data Models  Distributed Databases  Distributed Dataset  Graphics Processing Units  Load Management  Machine Learning Training  Straggler  Training  
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning[J]. Future Generation Computer Systems-The International Journal of eScience, 2022, 133, 10-22.
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.2/5.9 | Submit date：2022/05/13
Algorithm  Classification Model Training  Deep Learning  Machine Learning  Medical Dataset  Multi-class Classification  Parameter Optimization  Radiological Images Recognition  
Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni Journal article
Li, Tengyue, Fong, Simon, Mohammed, Sabah, Fiaidhi, Jinan, Guan, Steven, Chang, Victor. Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learni[J]. Future Generation Computer Systems, 2022, 133(1), 10-22.
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven; et al.
Adobe PDF | Favorite | TC[WOS]:2 TC[Scopus]:2  IF:6.2/5.9 | Submit date：2022/08/31
Machine Learning  Deep Learning  Multi-class Classification  Parameter Optimization  Classification Model Training  Medical Dataset  Radiological Images Recognition  
Prediction of Outcomes in Mini-Basketball Training Program for Preschool Children with Autism Using Machine Learning Models Journal article
Sun, Zhiyuan, Herold, Fabian, Cai, Kelong, Yu, Qian, Dong, Xiaoxiao, Liu, Zhimei, Li, Jinming, Chen, Aiguo, Zou, Liye. Prediction of Outcomes in Mini-Basketball Training Program for Preschool Children with Autism Using Machine Learning Models[J]. International Journal of Mental Health Promotion, 2022, 24(2), 143-158.
Authors:  Sun, Zhiyuan;  Herold, Fabian;  Cai, Kelong;  Yu, Qian;  Dong, Xiaoxiao; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:1.0/1.0 | Submit date：2022/05/17
Autistic Children  Machine Learning Models  Mini-basketball Training Program  Outcomes  Prediction  
ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN Journal article
Ding, Feng, Shen, Zhangyi, Zhu, Guopu, Kwong, Sam, Zhou, Yicong, Lyu, Siwei. ExS-GAN: Synthesizing Anti-Forensics Images via Extra Supervised GAN[J]. IEEE Transactions on Cybernetics, 2022, 53(11), 7162 - 7173.
Authors:  Ding, Feng;  Shen, Zhangyi;  Zhu, Guopu;  Kwong, Sam;  Zhou, Yicong; et al.
Favorite | TC[WOS]:13 TC[Scopus]:15  IF:9.4/10.3 | Submit date：2023/01/30
Anti-forensics  Digital Forensics  Digital Forensics  Forensics  Generative Adversarial Network (Gan)  Generative Adversarial Networks  Generators  Image Forensics  Machine Learning  Training  Transform Coding  
Online extreme learning machine based modeling and optimization for point-by-point engine calibration Journal article
Wong, Pak Kin, Gao, Xiang Hui, Wong, Ka In, Vong, Chi Man. Online extreme learning machine based modeling and optimization for point-by-point engine calibration[J]. NEUROCOMPUTING, 2018, 277, 187-197.
Authors:  Wong, Pak Kin;  Gao, Xiang Hui;  Wong, Ka In;  Vong, Chi Man
Favorite | TC[WOS]:24 TC[Scopus]:28  IF:5.5/5.5 | Submit date：2018/10/30
Engine Calibration  Engine Modeling  Engine Optimization  Initial-training-free Online Extreme Learning Machine  
Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration Journal article
Wong, P. K., Gao, X.H., Wong, K.I., Vong, C. M.. Online Extreme Learning Machine Based Modeling and Optimization for Point-by-point Engine Calibration[J]. Neurocomputing (SCI-E), 2018, 187-197.
Authors:  Wong, P. K.;  Gao, X.H.;  Wong, K.I.;  Vong, C. M.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Engine calibration  engine modeling  engine optimization  initial-training-free online extreme learning machine