フォロー
Ying-Jie Tian
Ying-Jie Tian
Chinese Academy of Sciences
確認したメール アドレス: gucas.ac.cn - ホームページ
タイトル
引用先
引用先
年
支持向量机: 理论、算法与拓展
邓乃扬， 田英杰
科学出版社, 2009
2580*2009
A comprehensive survey of clustering algorithms
D Xu, Y Tian
Annals of data science 2, 165-193, 2015
23912015
A comprehensive survey of loss functions in machine learning
Q Wang, Y Ma, K Zhao, Y Tian
Annals of Data Science, 1-26, 2020
8172020
Robust twin support vector machine for pattern classification
Z Qi, Y Tian, Y Shi
Pattern recognition 46 (1), 305-316, 2013
3612013
Optimization Based Data Mining: Theory and Applications
Y Shi, Y Tian, G Kou, Y Peng, J Li
Springer, 2011
3192011
Credit card churn forecasting by logistic regression and decision tree
G Nie, W Rowe, L Zhang, Y Tian, Y Shi
Expert Systems with Applications 38 (12), 15273-15285, 2011
3162011
Nonparallel support vector machines for pattern classification
Y Tian, Z Qi, X Ju, Y Shi, X Liu
IEEE transactions on cybernetics 44 (7), 1067-1079, 2013
2792013
A comprehensive survey on regularization strategies in machine learning
Y Tian, Y Zhang
Information Fusion 80, 146-166, 2022
2532022
Recent advances on support vector machines research
Y Tian, Y Shi, X Liu
Technological and economic development of Economy 18 (1), 5-33, 2012
2252012
Laplacian twin support vector machine for semi-supervised classification
Z Qi, Y Tian, Y Shi
Neural networks 35, 46-53, 2012
2232012
Structural twin support vector machine for classification
Z Qi, Y Tian, Y Shi
Knowledge-based systems 43, 74-81, 2013
1622013
Twin support vector machine with universum data
Z Qi, Y Tian, Y Shi
Neural Networks 36, 112-119, 2012
1502012
Multiview privileged support vector machines
J Tang, Y Tian, P Zhang, X Liu
IEEE transactions on neural networks and learning systems 29 (8), 3463-3477, 2017
1262017
Support vector machine classifier with truncated pinball loss
X Shen, L Niu, Z Qi, Y Tian
Pattern Recognition 68, 199-210, 2017
1262017
Recent advances in stochastic gradient descent in deep learning
Y Tian, Y Zhang, H Zhang
Mathematics 11 (3), 682, 2023
1192023
Recent advances on loss functions in deep learning for computer vision
Y Tian, D Su, S Lauria, X Liu
Neurocomputing 497, 129-158, 2022
1132022
Ramp loss one-class support vector machine; a robust and effective approach to anomaly detection problems
Y Tian, M Mirzabagheri, SMH Bamakan, H Wang, Q Qu
Neurocomputing 310, 223-235, 2018
1132018
Joint ranking SVM and binary relevance with robust low-rank learning for multi-label classification
G Wu, R Zheng, Y Tian, D Liu
Neural Networks 122, 24-39, 2020
1102020
Survey and experimental study on metric learning methods
D Li, Y Tian
Neural networks 105, 447-462, 2018
992018
Meta-learning approaches for learning-to-learn in deep learning: A survey
Y Tian, X Zhao, W Huang
Neurocomputing 494, 203-223, 2022
922022
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