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Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
Favorite  |  View/Download:10/0  |  Submit date:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
A novel AdaBoost framework with robust threshold and structural optimization Journal article
IEEE Transactions on Cybernetics, 2018,Volume: 48,Issue: 1,Page: 64-76
Authors:  Zhang P.-B.;  Yang Z.-X.
Favorite  |  View/Download:9/0  |  Submit date:2018/12/22
Adaboost Algorithm  Bounds Of Empirical Error  Ensemble Method  Generalization Error  Indoor Positioning System  Robust Threshold  Special Single-layer Neural Network  Structural Optimization  
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery Conference paper
Proceedings of the International Joint Conference on Neural Networks, Vancouver, BC, Canada, 24-29 July 2016
Authors:  Yang Z.-X.;  Zhang P.-B.
Favorite  |  View/Download:4/0  |  Submit date:2018/12/22
Extreme Learning Machine (Elm)  Fault Diagnosis  Hybrid Intelligent Model  Network  Predication  Remaining Useful Life  
GOBoost: G-mean optimized boosting framework for class imbalance learning Conference paper
Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Guilin, China, 12-15 June 2016
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
Favorite  |  View/Download:20/0  |  Submit date:2019/02/11
Data-driven train operation models based on data mining and driving experience for the diesel-electric locomotive Journal article
Advanced Engineering Informatics, 2016,Volume: 30,Issue: 3,Page: 553-563
Authors:  Zhang C.-Y.;  Chen D.;  Yin J.;  Chen L.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/13
Automatic Train Operation  Data-driven Train Operation Model  Ensemble Learning  Machine Learning  Manual Driving  
A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine Journal article
Mathematical Problems in Engineering, 2015,Volume: 2015
Authors:  Zhang P.;  Yang Z.
Favorite  |  View/Download:6/0  |  Submit date:2018/12/22
Ensemble Extreme Learning Machine Based on a New Self-adaptive AdaBoost.RT Conference paper
Proceedings of ELM-2014, Singapore, December 8-10, 2014
Authors:  Pengbo Zhang;  Zhixin Yang
Favorite  |  View/Download:3/0  |  Submit date:2019/04/02
Extreme Learning Machine  Single-hidden Layer Feedforward Networks  Self-adaptive Adaboost.rt Algorithm  Regression  Ensemble  
An Effective Method to Reduce False Alarms in Video Face Detection Conference paper
Applied Mechanics and Materials, Shijiazhuang, 2013
Authors:  Bing Li;  Yuanyan Tang;  Di Wen;  Zhenchao Zhang;  Boyang Ding
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
False Alarms  Fusion Detector Structure  Haar-like Features  Hog Features  
ISABoost: A weak classifier inner structure adjusting based AdaBoost algorithm—ISABoost based application in scene categorization Journal article
Neurocomputing, 2013,Volume: 103,Page: 104-113
Authors:  Xueming Qian;  Yuan Yan Tang;  Zhe Yan;  Kaiyu Hang
Favorite  |  View/Download:1/0  |  Submit date:2019/04/30
Adaboost  Scene Categorization  Pattern Classification  Back-propagation Networks  Svm  Weight Learning  
Face image retrieval in video sequences using Lifting Wavelets Transform feature extraction Conference paper
Proceedings of the International Symposium on Consumer Electronics, ISCE, Univ Macau, Taipa, MACAO, 14-16 June 2005
Authors:  Chon Fong Wong;  Jianke Zhu;  Mang I Vai;  Peng Un Mak
Favorite  |  View/Download:8/0  |  Submit date:2019/02/14
Adaboost Based Face Detection  Face Detection  Face Image Retrieval  Face Recognition  Lifting Wavelets Transform  Linear Discriminant Analysis  Similarity Measure