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Interrater Reliability Estimators Tested against True Interrater Reliabilities Journal article
BMC Medical Research Methodology, 2022
Authors:  Xinshu Zhao;  Guangchao Charles Feng;  Song Harris Ao;  Piper Liping Liu
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Intercoder Reliability  Interrater Reliability  Reconstructed Experiment  Cohen’s Kappa  Krippendorff’s Alpha  
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
Future Generation Computer Systems, 2022,Volume: 133,Issue: 1,Page: 10-22
Authors:  Li, Tengyue;  Fong, Simon;  Mohammed, Sabah;  Fiaidhi, Jinan;  Guan, Steven;  Chang, Victor
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Machine Learning  Deep Learning  Multi-class Classification  Parameter Optimization  Classification Model Training  Medical Dataset  Radiological Images Recognition  
Boosting active learning via improving test performance Conference paper
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Virtual, 2022-02-22
Authors:  Tianyan Wang;  Xingjian Li;  Pengkun Yang;  Guosheng Hu;  Xiangrui Zeng;  Siyu Huang;  Cheng-Zhong Xu;  Min Xu
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Fast AUC Maximization Learning Machine With Simultaneous Outlier Detection Journal article
IEEE Transactions on Cybernetics, 2022
Authors:  Sun, Yichen;  Vong, Chi Man;  Wang, Shitong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/17
Anomaly Detection  Auc Maximization  Imbalance Classification  Kernel  Minimum Enclosing Ball (Meb)  Outlier Detection  Support Vector Machines  Task Analysis  Time Complexity  Training  Upper Bound  
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data Journal article
Journal of Supercomputing, 2022,Volume: 78,Issue: 5,Page: 7428-7463
Authors:  Li, Jinyan;  Wu, Yaoyang;  Fong, Simon;  Tallón-Ballesteros, Antonio J.;  Yang, Xin she;  Mohammed, Sabah;  Wu, Feng
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Binary Pso  Ensemble  Imbalanced Classification  Integrity  Multi-objective  Under-sampling  
Cost-Sensitive Broad Learning System for Imbalanced Classification and Its Medical Application Journal article
Mathematics, 2022,Volume: 10,Issue: 5
Authors:  Yao, Liang;  Wong, Pak Kin;  Zhao, Baoliang;  Wang, Ziwen;  Lei, Long;  Wang, Xiaozheng;  Hu, Ying
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Broad Learning System  Cost-sensitive Learning  Imbalanced Data  Medical Diagnosis  Ultrasound Breast Cancer Diagnosis  
Dynamic swarm class rebalancing for the process mining of rare events Journal article
The Journal of Supercomputing, 2021,Volume: 77,Page: 7549-7583
Authors:  Jinyan Li;  Yaoyang Wu;  Simon Fong;  Raymond K. Wong;  Victor W. Chu;  Kok‑leong Ong;  Kelvin K. L. Wong
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Process Mining  Class Imbalance  Classification  Meta-heuristic  Over-sampling  Under-sampling  
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2021
Authors:  Du, Jie;  Zhou, Yanhong;  Liu, Peng;  Vong, Chi Man;  Wang, Tianfu
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Class-imbalanced deep learning  Data models  Deep learning  dynamic changes  Focusing  hyperparameters tuning  Learning systems  loss function  parameter-free.  Task analysis  Training  Tuning  
Incremental Weighted Ensemble Broad Learning System For Imbalanced Data Journal article
IEEE Transactions on Knowledge and Data Engineering, 2021
Authors:  Yang, Kaixiang;  Yu, Zhiwen;  Chen, C. L.P.;  Cao, Wenming;  You, Jane J.;  Wong, Hau San
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Adaptive systems  Bagging  binary classification  Boosting  broad learning system  imbalance learning  incremental ensemble learning  Learning systems  Neural networks  Sampling methods  Training  
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2020,Volume: 31,Issue: 8,Page: 2847-2856
Authors:  Shu,Ting;  Zhang,Bob;  Tang,Yuan Yan
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Data Driven  Face Recognition  Imbalanced Classification  Spare Supervised Representation-based Classifier (Ssrc)  Sparse Representation-based Classification (Src)