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Generalization capacity of multi-class SVM based on Markovian resampling Journal article
Dong,Zijie, Xu,Chen, Xu,Jie, Zou,Bin, Zeng,Jingjing, Tang,Yuan Yan. Generalization capacity of multi-class SVM based on Markovian resampling[J]. Pattern Recognition, 2023, 142, 109720.
Authors:  Dong,Zijie;  Xu,Chen;  Xu,Jie;  Zou,Bin;  Zeng,Jingjing; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:7.5/7.6 | Submit date：2023/08/03
Generalization Bound  Learning Rate  Markovian Resampling  Msvm  
A Deep Neural Network for Crossing-City POI Recommendations Journal article
Li, Dichao, Gong, Zhiguo. A Deep Neural Network for Crossing-City POI Recommendations[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(8), 3536-3548.
Authors:  Li, Dichao;  Gong, Zhiguo
Favorite | TC[WOS]:14 TC[Scopus]:17  IF:8.9/8.8 | Submit date：2022/08/02
Crossing-city  Deep Learning  Density-based Resampling  Poi Recommendation  Transfer Learning  
A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros Journal article
Chen, Tiantian, Lu, Yuhuan, Fu, Xiaowen, Sze, N. N., Ding, Hongliang. A resampling approach to disaggregate analysis of bus-involved crashes using panel data with excessive zeros[J]. Accident Analysis and Prevention, 2021, 164, 106496.
Authors:  Chen, Tiantian;  Lu, Yuhuan;  Fu, Xiaowen;  Sze, N. N.;  Ding, Hongliang
Favorite | TC[WOS]:23 TC[Scopus]:25  IF:5.7/5.9 | Submit date：2022/02/21
Bus Safety  Crash Frequency Model  Excessive Zeros  Resampling Approach  
Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions Journal article
Wang, Xian-Bo, Luo, Luqing, Tang, Lulu, Yang, Zhi-Xin. Automatic representation and detection of fault bearings in in-wheel motors under variable load conditions[J]. ADVANCED ENGINEERING INFORMATICS, 2021, 49, 101321.
Authors:  Wang, Xian-Bo;  Luo, Luqing;  Tang, Lulu;  Yang, Zhi-Xin
Favorite | TC[WOS]:32 TC[Scopus]:44  IF:8.0/8.2 | Submit date：2021/12/08
Convolutional Neural Network  Fault Diagnosis  In-wheel Motor  Synchronous Resampling  Time–frequency Representation  
Robust Estimation of Upscaling Factor on Double JPEG Compressed Images Journal article
Wei Lu, Qin Zhang, Shangjun Luo, Yicong Zhou, Jiwu Huang, Yun-Qing Shi. Robust Estimation of Upscaling Factor on Double JPEG Compressed Images[J]. IEEE Transactions on Cybernetics, 2021, 52(10), 10814-10826.
Authors:  Wei Lu;  Qin Zhang;  Shangjun Luo;  Yicong Zhou;  Jiwu Huang; et al.
Favorite | TC[WOS]:11 TC[Scopus]:8  IF:9.4/10.3 | Submit date：2022/05/13
Detectors  Estimation  Forensics  Frequency-domain Analysis  Image Coding  Image Forensics  Image Resampling Detection  Jpeg Block Artifacts  Robustness  Scaling Factor Estimation.  Transform Coding  
Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks Journal article
Luo, Zeyu, Wang, Xian Bo, Yang, Zhi Xin. Fault Representations of Bearing Race Based on Grayscale Maps and CNN Networks[J]. Mechanisms and Machine Science, 2021, 105, 61-68.
Authors:  Luo, Zeyu;  Wang, Xian Bo;  Yang, Zhi Xin
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Convolutional Neural Network  Fault Diagnosis  Synchronous Resampling  Time-frequency Representation  Variable Loads  Wind Turbine Generator  
SVM-Boosting based on Markov resampling: Theory and algorithm Journal article
Jiang, Hongwei, Zou, Bin, Xu, Chen, Xu, Jie, Tang, Yuan Yan. SVM-Boosting based on Markov resampling: Theory and algorithm[J]. NEURAL NETWORKS, 2020, 131, 276-290.
Authors:  Jiang, Hongwei;  Zou, Bin;  Xu, Chen;  Xu, Jie;  Tang, Yuan Yan
Favorite | TC[WOS]:18 TC[Scopus]:21  IF:6.0/7.9 | Submit date：2021/12/06
Boosting  Consistency  Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)  
New Incremental Learning Algorithm with Support Vector Machines Journal article
Xu, Jie, Xu, Chen, Zou, Bin, Tang, Yuan Yan, Peng, Jiangtao, You, Xinge. New Incremental Learning Algorithm with Support Vector Machines[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 49(11), 2230-2241.
Authors:  Xu, Jie;  Xu, Chen;  Zou, Bin;  Tang, Yuan Yan;  Peng, Jiangtao; et al.
Favorite | TC[WOS]:53 TC[Scopus]:63  IF:8.6/8.7 | Submit date：2022/05/17
Incremental Learning  Markov Resampling  Support Vector Machines (Svms)  
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
Li, Luoqing, Li, Weifu, Zou, Bin, Wang, Yulong, Tang, Yuan Yan, Han, Hua. Learning With Coefficient-Based Regularized Regression on Markov Resampling[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29(9), 4166-4176.
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.2/10.4 | Submit date：2018/10/30
Coefficient-based Regularized Regression (Cbrr)  Learning Rate  Markov Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Learning with Coefficient-Based Regularized Regression on Markov Resampling Journal article
Li L., Li W., Zou B., Wang Y., Tang Y.Y., Han H.. Learning with Coefficient-Based Regularized Regression on Markov Resampling[J]. IEEE Transactions on Neural Networks and Learning Systems, 2018, 29(9), 4166-4176.
Authors:  Li L.;  Li W.;  Zou B.;  Wang Y.;  Tang Y.Y.; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4 | Submit date：2019/02/11
Coefficient-based Regularized Regression (Cbrr)  Learning Rate  Markov Resampling  Uniformly Ergodic Markov Chain (U.e.m.c.)