


default search action
Yingjie Tian 0001
Ying-jie Tian 0001 – Ying-Jie Tian 0001 – Ying Jie Tian 0001
Person information
- affiliation: University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
- affiliation (PhD): China Agricultural University, Beijing, China
Other persons with the same name
- Yingjie Tian 0002
— Shanghai Electric Power Research Institute, China
- Yingjie Tian 0003 — Wuhan University, LIEMARS, China
- Yingjie Tian 0004 — University of South China, School of Computer Sciences, Hengyang, China
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j154]Yingjie Tian
, Haoran Jiang:
Recent advances in complementary label learning. Inf. Fusion 114: 102702 (2025) - [j153]Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian
:
Self-improved multi-view interactive knowledge transfer. Inf. Fusion 114: 102718 (2025) - [j152]Long Tang, Pengfei Yan, Yingjie Tian, Panos M. Pardalos:
Self-adaptive label discovery and multi-view fusion for complementary label learning. Neural Networks 181: 106763 (2025) - 2024
- [j151]Jingjing Tang
, Qingqing Yi
, Saiji Fu
, Ying-Jie Tian:
Incomplete multi-view learning: Review, analysis, and prospects. Appl. Soft Comput. 153: 111278 (2024) - [j150]Long Tang
, Jingtao Zhao, Yingjie Tian, Changhua Yao, Panos M. Pardalos
:
Instance-wise multi-view visual fusion for zero-shot learning. Appl. Soft Comput. 167: 112339 (2024) - [j149]Xiaoxi Zhao, Yingjie Tian:
Credit risk assessment method driven by asymmetric loss function. Appl. Soft Comput. 167: 112355 (2024) - [j148]Yiqi Wang, Yingjie Tian
:
Exploiting multi-scale contextual prompt learning for zero-shot semantic segmentation. Displays 81: 102616 (2024) - [j147]Dalian Liu, Saiji Fu, Ying-Jie Tian, Jingjing Tang:
Universum driven cost-sensitive learning method with asymmetric loss function. Eng. Appl. Artif. Intell. 131: 107849 (2024) - [j146]Jianyu Miao
, Jingjing Zhao, Tiejun Yang, Chao Fan, Yingjie Tian, Yong Shi, Mingliang Xu:
Explicit unsupervised feature selection based on structured graph and locally linear embedding. Expert Syst. Appl. 255: 124568 (2024) - [j145]Yingjie Tian
, Haonan Wen
, Saiji Fu
:
Multi-step ahead prediction of carbon price movement using time-series privileged information. Expert Syst. Appl. 255: 124825 (2024) - [j144]Yingjie Tian
, Duo Su
, Shilin Li:
Adaptive robust loss for landmark detection. Inf. Fusion 101: 102013 (2024) - [j143]Jingjing Tang, Bangxin Liu, Saiji Fu
, Ying-jie Tian, Gang Kou:
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Inf. Fusion 110: 102463 (2024) - [j142]Yingjie Tian
, Yuhao Xie
:
Artificial cheerleading in IEO: Marketing campaign or pump and dump scheme. Inf. Process. Manag. 61(1): 103537 (2024) - [j141]Zhaojie Hou
, Jingjing Tang, Yan Li, Saiji Fu, Yingjie Tian
:
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. 675: 120467 (2024) - [j140]Long Tang, Ziyun Zhou, Ying-Jie Tian, Panos M. Pardalos:
Robust Pcomp classification using multi-view pairwise data with positive confidence priority. Knowl. Based Syst. 299: 112101 (2024) - [j139]Jingjing Tang, Yan Li
, Zhaojie Hou, Saiji Fu, Yingjie Tian:
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. 300: 112143 (2024) - [j138]Fenfen Zhou, Yingjie Tian, Siyu Zhu:
Deep image matting with cross-layer contextual information propagation. Neural Comput. Appl. 36(12): 6809-6825 (2024) - [j137]Haoran Jiang
, Zhihao Sun, Yingjie Tian
:
ComCo: Complementary supervised contrastive learning for complementary label learning. Neural Networks 169: 44-56 (2024) - [j136]Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian
:
Generalized robust loss functions for machine learning. Neural Networks 171: 200-214 (2024) - [j135]Yingjie Tian
, Shaokai Xu, Muyang Li:
Decoupled graph knowledge distillation: A general logits-based method for learning MLPs on graphs. Neural Networks 179: 106567 (2024) - [j134]Xiaotong Yu
, Shiding Sun
, Yingjie Tian:
Self-distillation and self-supervision for partial label learning. Pattern Recognit. 146: 110016 (2024) - [j133]Shiding Sun
, Bo Wang
, Yingjie Tian:
Decoupled representation for multi-view learning. Pattern Recognit. 151: 110377 (2024) - [j132]Saiji Fu, Tianyi Dong
, Zhaoxin Wang
, Yingjie Tian:
Weakly privileged learning with knowledge extraction. Pattern Recognit. 153: 110517 (2024) - [j131]Kai Li
, Jie Yang, Siwei Ma
, Bo Wang
, Shanshe Wang, Yingjie Tian
, Zhiquan Qi
:
Rethinking Lightweight Convolutional Neural Networks for Efficient and High-Quality Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. 25(1): 237-250 (2024) - [j130]Yingjie Tian
, Kunlong Bai
:
End-to-End Multitask Learning With Vision Transformer. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9579-9590 (2024) - [c77]Haoran Jiang, Zhihao Sun, Yingjie Tian:
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes. AAAI 2024: 12874-12882 - [c76]Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang:
D4M: Dataset Distillation via Disentangled Diffusion Model. CVPR 2024: 5809-5818 - [i12]Duo Su, Junjie Hou, Weizhi Gao, Ying-jie Tian, Bowen Tang:
D4M: Dataset Distillation via Disentangled Diffusion Model. CoRR abs/2407.15138 (2024) - [i11]Minghao Liu, Le Zhang, Yingjie Tian, Xiaochao Qu, Luoqi Liu, Ting Liu:
Draw Like an Artist: Complex Scene Generation with Diffusion Model via Composition, Painting, and Retouching. CoRR abs/2408.13858 (2024) - 2023
- [j129]Yue Wu
, Wayne Wei Huang, Lean Yu
, Yingjie Tian
:
Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs. IEEE Access 11: 1854-1866 (2023) - [j128]Shiding Sun
, Yingjie Tian
, Zhiquan Qi, Yang Wu, Weizhi Gao, Yahe Wu
:
Two-stage training strategy combined with neural network for segmentation of internal mammary artery graft. Biomed. Signal Process. Control. 80(Part): 104278 (2023) - [j127]Saiji Fu, Yingjie Tian
, Long Tang:
Robust regression under the general framework of bounded loss functions. Eur. J. Oper. Res. 310(3): 1325-1339 (2023) - [j126]Yingjie Tian
, Xiaoxi Zhao
, Saiji Fu
:
Kernel methods with asymmetric and robust loss function. Expert Syst. Appl. 213(Part): 119236 (2023) - [j125]Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian
, Gang Kou, Shan Xu:
Robust multi-view learning with the bounded LINEX loss. Neurocomputing 518: 384-400 (2023) - [j124]Saiji Fu, Yingjie Tian
, Jingjing Tang, Xiaohui Liu:
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525: 57-75 (2023) - [j123]Jingjing Tang
, Zhaojie Hou
, Xiaotong Yu, Saiji Fu, Yingjie Tian:
Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing 552: 126562 (2023) - [j122]Yingjie Tian
, Weizhi Gao, Qin Zhang, Pu Sun, Dongkuan Xu:
Improving long-tailed classification by disentangled variance transfer. Internet Things 21: 100687 (2023) - [j121]Saiji Fu, Xiaoxiao Wang, Yingjie Tian
, Tianyi Dong, Jingjing Tang, Jicai Li:
Coarse-grained privileged learning for classification. Inf. Process. Manag. 60(6): 103506 (2023) - [j120]Yingjie Tian
, Xiaotong Yu, Saiji Fu:
Multi-view side information-incorporated tensor completion. Numer. Linear Algebra Appl. 30(5) (2023) - [j119]Yingjie Tian
, Xiaotong Yu, Saiji Fu:
Partial label learning: Taxonomy, analysis and outlook. Neural Networks 161: 708-734 (2023) - [j118]Yuqi Zhang, Yingjie Tian
, Junjie Hou:
CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer. Neural Networks 164: 146-155 (2023) - [j117]Long Tang, Ying-Jie Tian, Xiaowei Wang, Panos M. Pardalos:
A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition. Neural Networks 166: 379-395 (2023) - [j116]Yingjie Tian
, Kunlong Bai
, Xiaotong Yu, Siyu Zhu:
Causal multi-label learning for image classification. Neural Networks 167: 626-637 (2023) - [j115]Siyu Zhu
, Yingjie Tian
:
Shape robustness in style enhanced cross domain semantic segmentation. Pattern Recognit. 135: 109143 (2023) - [j114]Shiding Sun, Xiaotong Yu, Yingjie Tian
:
Multi-view prototype-based disambiguation for partial label learning. Pattern Recognit. 141: 109625 (2023) - [j113]Ming Chen, Yuqi Zhang, Saiji Fu
, Yingjie Tian
:
Analysis of investment effect in Xinjiang from the perspective of nontraditional security. Pers. Ubiquitous Comput. 27(4): 1573-1583 (2023) - [j112]Jiabin Liu
, Hanyuan Hang, Bo Wang
, Biao Li
, Huadong Wang, Yingjie Tian
, Yong Shi
:
GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels. IEEE Trans. Cybern. 53(1): 236-247 (2023) - [j111]Kai Li
, Bo Wang
, Yingjie Tian
, Zhiquan Qi
:
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. IEEE Trans. Cybern. 53(2): 1051-1062 (2023) - [j110]Jiabin Liu
, Bo Wang
, Hanyuan Hang, Huadong Wang, Zhiquan Qi
, Yingjie Tian
, Yong Shi
:
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8377-8388 (2023) - 2022
- [j109]Yingjie Tian
, Yurong Ding
, Saiji Fu
, Dalian Liu
:
Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access 10: 14288-14300 (2022) - [j108]Yiqiong Wu, Wei Huang, Yingjie Tian
, Qing Zhu, Lean Yu:
An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection. Electron. Commer. Res. Appl. 53: 101155 (2022) - [j107]Jingjing Tang
, Dewei Li
, Yingjie Tian
:
Image classification with multi-view multi-instance metric learning. Expert Syst. Appl. 189: 116117 (2022) - [j106]Yingjie Tian
, Shiding Sun, Zhiquan Qi, Ying Liu, Zeyuan Wang:
Non-tumorous facial pigmentation classification based on multi-view convolutional neural network with attention mechanism. Neurocomputing 483: 370-385 (2022) - [j105]Yingjie Tian
, Xiaoxi Zhao, Wei Huang:
Meta-learning approaches for learning-to-learn in deep learning: A survey. Neurocomputing 494: 203-223 (2022) - [j104]Yingjie Tian
, Duo Su
, Stanislao Lauria, Xiaohui Liu:
Recent advances on loss functions in deep learning for computer vision. Neurocomputing 497: 129-158 (2022) - [j103]Yingjie Tian
, Yuqi Zhang
:
A comprehensive survey on regularization strategies in machine learning. Inf. Fusion 80: 146-166 (2022) - [j102]Saiji Fu
, Xiaotong Yu, Yingjie Tian
:
Cost sensitive ν-support vector machine with LINEX loss. Inf. Process. Manag. 59(2): 102809 (2022) - [j101]Xiaoxi Zhao, Saiji Fu, Yingjie Tian
, Kun Zhao:
Asymmetric and robust loss function driven least squares support vector machine. Knowl. Based Syst. 258: 109990 (2022) - [j100]Yingjie Tian
, Shiding Sun
, Jingjing Tang
:
Multi-view Teacher-Student Network. Neural Networks 146: 69-84 (2022) - [j99]Jiabin Liu, Zhiquan Qi, Bo Wang
, Yingjie Tian
, Yong Shi:
SELF-LLP: Self-supervised learning from label proportions with self-ensemble. Pattern Recognit. 129: 108767 (2022) - [j98]Yingjie Tian
, Siyu Zhu
:
Partial Domain Adaptation on Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3798-3809 (2022) - [c75]Xiang Gao
, Yuqi Zhang, Yingjie Tian:
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. ICML 2022: 7183-7207 - [e8]Yubin Liu, Yong Shi, Yong Wang, Daji Ergu, Daniel Berg, James M. Tien, Jianping Li, Yingjie Tian:
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, ITQM 2020 & 2021, Developing Global Digital Economy after COVID-19, July 9-11, 2021, Chengdu, China. Procedia Computer Science 199, Elsevier 2022 [contents] - [i10]Xiang Gao, Yingjie Tian
:
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. CoRR abs/2206.12943 (2022) - [i9]Xiang Gao, Yuqi Zhang, Yingjie Tian
:
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization. CoRR abs/2208.01587 (2022) - 2021
- [j97]Jingjing Tang
, Yiwei He, Yingjie Tian
, Dalian Liu, Gang Kou, Fawaz E. Alsaadi:
Coupling loss and self-used privileged information guided multi-view transfer learning. Inf. Sci. 551: 245-269 (2021) - [j96]Yingjie Tian
, Saiji Fu
, Jingjing Tang:
Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. 581: 951-977 (2021) - [j95]Long Tang, Yingjie Tian
, Wenjun Li, Panos M. Pardalos:
Valley-loss regular simplex support vector machine for robust multiclass classification. Knowl. Based Syst. 216: 106801 (2021) - [j94]Jingjing Tang, Weiqi Xu, Jiahui Li
, Yingjie Tian
, Shan Xu:
Multi-view learning methods with the LINEX loss for pattern classification. Knowl. Based Syst. 228: 107285 (2021) - [j93]Jingjing Tang, Jiahui Li
, Weiqi Xu, Yingjie Tian
, Xuchan Ju, Jie Zhang:
Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation. Neural Networks 143: 327-344 (2021) - [j92]Fenfen Zhou
, Yingjie Tian
, Zhiquan Qi
:
Attention Transfer Network for Nature Image Matting. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2192-2205 (2021) - [c74]Xiang Gao
, Yingjie Tian, Zhiquan Qi:
Multi-view Feature Augmentation with Adaptive Class Activation Mapping. IJCAI 2021: 678-684 - [c73]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. IJCAI 2021: 2737-2743 - [c72]Yuqi Zhang, Duo Su
, Xiaoxi Zhao, Yingjie Tian
:
Sparse Multiple Instance Learning for Elderly People Balance Ability. ITQM 2021: 621-628 - [i8]Jiabin Liu, Bo Wang, Xin Shen, Zhiquan Qi, Yingjie Tian:
Two-stage Training for Learning from Label Proportions. CoRR abs/2105.10635 (2021) - [i7]Kai Li, Bo Wang, Yingjie Tian, Zhiquan Qi:
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function. CoRR abs/2106.15510 (2021) - [i6]Kai Li, Yingjie Tian, Zhiquan Qi:
CarNet: A Lightweight and Efficient Encoder-Decoder Architecture for High-quality Road Crack Detection. CoRR abs/2109.05707 (2021) - 2020
- [j91]Yue Ma
, Kun Zhao, Qi Wang, Yingjie Tian
:
Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss. IEEE Access 8: 149899-149914 (2020) - [j90]Zhiwang Zhang, Guangxia Gao, Tao Yao, Jing He
, Yingjie Tian
:
An interpretable regression approach based on bi-sparse optimization. Appl. Intell. 50(11): 4117-4142 (2020) - [j89]Long Tang, Yingjie Tian
, Wenjun Li, Panos M. Pardalos:
Structural improved regular simplex support vector machine for multiclass classification. Appl. Soft Comput. 91: 106235 (2020) - [j88]Yuqi Zhang
, Haibin Zhang, Yingjie Tian
:
Sparse multiple instance learning with non-convex penalty. Neurocomputing 391: 142-156 (2020) - [j87]Yingjie Tian
, Mahboubeh Mirzabagheri, Peyman Tirandazi
, Seyed Mojtaba Hosseini Bamakan
:
A non-convex semi-supervised approach to opinion spam detection by ramp-one class SVM. Inf. Process. Manag. 57(6): 102381 (2020) - [j86]Yingjie Tian
, Saiji Fu
:
A descriptive framework for the field of deep learning applications in medical images. Knowl. Based Syst. 210: 106445 (2020) - [j85]Guoqiang Wu
, Ruobing Zheng, Yingjie Tian
, Dalian Liu:
Joint Ranking SVM and Binary Relevance with robust Low-rank learning for multi-label classification. Neural Networks 122: 24-39 (2020) - [j84]Yong Shi, Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian
:
Deep learning from label proportions with labeled samples. Neural Networks 128: 73-81 (2020) - [j83]Wen Long
, Linqiu Song, Ying-jie Tian
, Wenning Yang:
Analysis of slump and surge phenomenon in Chinese stock market based on sequence alignment method. Soft Comput. 24(23): 18185-18202 (2020) - [j82]Yingjie Tian
, Yiqi Wang, LinRui Yang, Zhiquan Qi
:
CANet: Concatenated Attention Neural Network for Image Restoration. IEEE Signal Process. Lett. 27: 1615-1619 (2020) - [j81]Zhiquan Qi, Yingjie Tian
, Yong Shi, Vassil Alexandrov
:
Parallel RMCLP Classification Algorithm and Its Application on the Medical Data. IEEE Trans. Cloud Comput. 8(2): 532-538 (2020) - [j80]Xiang Gao
, Yingjie Tian
, Zhiquan Qi
:
RPD-GAN: Learning to Draw Realistic Paintings With Generative Adversarial Network. IEEE Trans. Image Process. 29: 8706-8720 (2020) - [i5]Yingjie Tian, Yiqi Wang, LinRui Yang, Zhiquan Qi:
Concatenated Attention Neural Network for Image Restoration. CoRR abs/2006.11162 (2020)
2010 – 2019
- 2019
- [j79]Jia Wu
, Shirui Pan
, Junjun Jiang
, Zhihua Cai, Bo Du, Yingjie Tian
, Shuaiqiang Wang, Haishuai Wang:
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7: 33778-33786 (2019) - [j78]Yue Ma, Qin Zhang
, Dewei Li
, Yingjie Tian
:
LINEX Support Vector Machine for Large-Scale Classification. IEEE Access 7: 70319-70331 (2019) - [j77]Chunhua Zhang
, Shiding Sun, Yingjie Tian
, Zeyuan Wang:
Structured Output Prediction Using Privileged Information. IEEE Access 7: 106065-106074 (2019) - [j76]Qi Wang, Yingjie Tian
, Dalian Liu:
Adaptive FH-SVM for Imbalanced Classification. IEEE Access 7: 130410-130422 (2019) - [j75]Zhiwang Zhang, Jing He
, Guangxia Gao, Yingjie Tian
:
Bi-sparse optimization-based least squares regression. Appl. Soft Comput. 77: 300-315 (2019) - [j74]Wen Long
, Linqiu Song, Ying-jie Tian
:
A new graphic kernel method of stock price trend prediction based on financial news semantic and structural similarity. Expert Syst. Appl. 118: 411-424 (2019) - [j73]Yiwei He
, Yingjie Tian
, Dalian Liu:
Multi-view transfer learning with privileged learning framework. Neurocomputing 335: 131-142 (2019) - [j72]Jiashuai Zhang, Jianyu Miao, Kun Zhao, Yingjie Tian
:
Multi-task feature selection with sparse regularization to extract common and task-specific features. Neurocomputing 340: 76-89 (2019) - [j71]Long Tang, Yingjie Tian
, Panos M. Pardalos:
A novel perspective on multiclass classification: Regular simplex support vector machine. Inf. Sci. 480: 324-338 (2019) - [j70]Jingjing Tang
, Yingjie Tian
, Dalian Liu, Gang Kou
:
Coupling privileged kernel method for multi-view learning. Inf. Sci. 481: 110-127 (2019) - [j69]Dandan Chen, Yingjie Tian
:
Large-scale structural learning and predicting via hashing approximation. Neural Comput. Appl. 31(7): 2889-2903 (2019) - [j68]Jingjing Tang
, Yingjie Tian
, Xiaohui Liu:
LGND: a new method for multi-class novelty detection. Neural Comput. Appl. 31(8): 3339-3355 (2019) - [j67]Zhiwang Zhang, Jing He
, Guangxia Gao, Yingjie Tian
:
Sparse multi-criteria optimization classifier for credit risk evaluation. Soft Comput. 23(9): 3053-3066 (2019) - [c71]Zhichen Lu, Wen Long
, Jiashuai Zhang, Yingjie Tian
:
Factor Integration Based on Neural Networks for Factor Investing. ICCS (3) 2019: 286-292 - [c70]Yuting Niu, Yuan Shang, Yingjie Tian
:
Multi-view SVM Classification with Feature Selection. ITQM 2019: 405-412 - [c69]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. NeurIPS 2019: 7167-7177 - [i4]Jiabin Liu, Bo Wang, Zhiquan Qi, Yingjie Tian, Yong Shi:
Learning from Label Proportions with Generative Adversarial Networks. CoRR abs/1909.02180 (2019) - [i3]Guoqiang Wu, Ruobing Zheng, Yingjie Tian, Dalian Liu:
Joint Ranking SVM and Binary Relevance with Robust Low-Rank Learning for Multi-Label Classification. CoRR abs/1911.01658 (2019) - 2018
- [j66]Yiwei He
, Yingjie Tian
, Jingjing Tang
, Yue Ma
:
Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization. Complex. 2018: 8425821:1-8425821:13 (2018) - [j65]Guoqiang Wu
, Yingjie Tian
, Chunhua Zhang:
A unified framework implementing linear binary relevance for multi-label learning. Neurocomputing 289: 86-100 (2018) - [j64]Yingjie Tian
, Mahboubeh Mirzabagheri, Seyed Mojtaba Hosseini Bamakan
, Huadong Wang, Qiang Qu
:
Ramp loss one-class support vector machine; A robust and effective approach to anomaly detection problems. Neurocomputing 310: 223-235 (2018) - [j63]Long Tang, Yingjie Tian
, Chunyan Yang, Panos M. Pardalos:
Ramp-loss nonparallel support vector regression: Robust, sparse and scalable approximation. Knowl. Based Syst. 147: 55-67 (2018)