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Real-time accident anticipation for autonomous driving through monocular depth-enhanced 3D modeling Journal article
Haicherng Liao, Yongkang Li, Zhenning Li, Zilin Bian, Jaeyoung Lee, Zhiyong Cui, Guohui Zhang, Chengzhong Xu. Real-time accident anticipation for autonomous driving through monocular depth-enhanced 3D modeling[J]. Accident Analysis and Prevention, 2024, 207, 107760.
Authors:  Haicherng Liao;  Yongkang Li;  Zhenning Li;  Zilin Bian;  Jaeyoung Lee; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:5.7/5.9 | Submit date：2024/09/16
Accident Anticipation  Autonomous Driving  Dashcam Videos  Data Imbalance  Monocular Depth Estimation  
A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance Journal article
Wang, Dingxiang, Zhang, Xiaogang, Chen, Hua, Zhou, Yicong, Cheng, Fanyong. A Sintering State Recognition Framework to Integrate Prior Knowledge and Hidden Information Considering Class Imbalance[J]. IEEE Transactions on Industrial Electronics, 2021, 68(8), 7400-7411.
Authors:  Wang, Dingxiang;  Zhang, Xiaogang;  Chen, Hua;  Zhou, Yicong;  Cheng, Fanyong
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:7.5/8.0 | Submit date：2021/12/08
Feature Fusion  Imbalance Data  Kernel Modification  Sintering State Recognition  
Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering Journal article
Lu, Yang, Cheung, Yiu Ming, Tang, Yuan Yan. Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering[J]. IEEE Transactions on Cybernetics, 2021, 51(3), 1598-1612.
Authors:  Lu, Yang;  Cheung, Yiu Ming;  Tang, Yuan Yan
Favorite | TC[WOS]:40 TC[Scopus]:51  IF:9.4/10.3 | Submit date：2021/12/07
Class Imbalance Learning  Competitive Learning  Data Clustering  Internal Validation Measure  K-means-type Algorithm  Multiprototype Clustering  
Study of Data Imbalanced Problem in Protein-peptide Binding Prediction Conference paper
Gao, Lu, Siu, Shirley W.I.. Study of Data Imbalanced Problem in Protein-peptide Binding Prediction[C]:ICST, 2020, 61-66.
Authors:  Gao, Lu;  Siu, Shirley W.I.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2021/12/06
Protein-peptide Binding Residues  Data Imbalance  Nearmiss  Under-sampling  
Mining massive e-health data streams for IoMT enabled healthcare systems Journal article
Affan Ahmed Toor, Muhammad Usman, Farah Younas, Alvis Cheuk M. Fong, Sajid Ali Khan, Simon Fong. Mining massive e-health data streams for IoMT enabled healthcare systems[J]. Sensors (Switzerland), 2020, 20(7), 2131.
Authors:  Affan Ahmed Toor;  Muhammad Usman;  Farah Younas;  Alvis Cheuk M. Fong;  Sajid Ali Khan; et al.
Favorite | TC[WOS]:21 TC[Scopus]:36  IF:3.4/3.7 | Submit date：2021/03/09
Data Stream Mining  Iomt  Concept Drift  Class Imbalance  Machine Learning  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
Du, Jie, Vong, Chi-Man, Chang, Yajie, Jiao, Yang. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification[C], GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG, 2018, 229-239.
Authors:  Du, Jie;  Vong, Chi-Man;  Chang, Yajie;  Jiao, Yang
Favorite | TC[WOS]:4  | Submit date：2018/10/30
Big Data  Imbalance Learning  Os-elm  Under-sampling  Over-sampling  
Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification Conference paper
Du, J., Vong, C. M.. Online Sequential Extreme Learning Machine with Under-Sampling and Over-Sampling for Imbalanced Big Data Classification[C], 2017, 229-239.
Authors:  Du, J.;  Vong, C. M.
Favorite |  | Submit date：2022/08/09
Big Data  Imbalance Learning  OS-ELM  Under-sampling  over-sampling  
Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine Journal article
Vong, Chi-Man, Ip, Weng-Fai, Chiu, Chi-Chong, Wong, Pak Kin. Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine[J]. Cognitive Computation, 2015, 7(3), 381-391.
Authors:  Vong, Chi-Man;  Ip, Weng-Fai;  Chiu, Chi-Chong;  Wong, Pak Kin
Favorite | TC[WOS]:24 TC[Scopus]:25 | Submit date：2018/11/06
Air Pollution  Meta-cognitive Strategy  Online Sequential Extreme Learning Machine (Os-elm)  Imbalance Data