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Saiji Fu
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2020 – today
- 2025
- [j23]Saiji Fu, Haonan Wen, Xiaoxiao Wang, Yingjie Tian
:
Self-improved multi-view interactive knowledge transfer. Inf. Fusion 114: 102718 (2025) - 2024
- [j22]Jingjing Tang
Incomplete multi-view learning: Review, analysis, and prospects. Appl. Soft Comput. 153: 111278 (2024) - [j21]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) - [j20]Yingjie Tian
Multi-step ahead prediction of carbon price movement using time-series privileged information. Expert Syst. Appl. 255: 124825 (2024) - [j19]Jingjing Tang, Bangxin Liu, Saiji Fu
Advancing robust regression: Addressing asymmetric noise with the BLINEX loss function. Inf. Fusion 110: 102463 (2024) - [j18]Zhaojie Hou
MVQS: Robust multi-view instance-level cost-sensitive learning method for imbalanced data classification. Inf. Sci. 675: 120467 (2024) - [j17]Jingjing Tang, Yan Li
Robust two-stage instance-level cost-sensitive learning method for class imbalance problem. Knowl. Based Syst. 300: 112143 (2024) - [j16]Saiji Fu, Xiaoxiao Wang, Jingjing Tang, Shulin Lan, Ying-Jie Tian
Generalized robust loss functions for machine learning. Neural Networks 171: 200-214 (2024) - [j15]Saiji Fu, Tianyi Dong
Weakly privileged learning with knowledge extraction. Pattern Recognit. 153: 110517 (2024) - 2023
- [j14]Saiji Fu, Yingjie Tian
Robust regression under the general framework of bounded loss functions. Eur. J. Oper. Res. 310(3): 1325-1339 (2023) - [j13]Yingjie Tian
Kernel methods with asymmetric and robust loss function. Expert Syst. Appl. 213(Part): 119236 (2023) - [j12]Jingjing Tang, Hao He, Saiji Fu, Yingjie Tian
Robust multi-view learning with the bounded LINEX loss. Neurocomputing 518: 384-400 (2023) - [j11]Saiji Fu, Yingjie Tian
Cost-sensitive learning with modified Stein loss function. Neurocomputing 525: 57-75 (2023) - [j10]Jingjing Tang
Multi-view cost-sensitive kernel learning for imbalanced classification problem. Neurocomputing 552: 126562 (2023) - [j9]Saiji Fu, Xiaoxiao Wang, Yingjie Tian
Coarse-grained privileged learning for classification. Inf. Process. Manag. 60(6): 103506 (2023) - [j8]Yingjie Tian
Multi-view side information-incorporated tensor completion. Numer. Linear Algebra Appl. 30(5) (2023) - [j7]Yingjie Tian
Partial label learning: Taxonomy, analysis and outlook. Neural Networks 161: 708-734 (2023) - [j6]Ming Chen, Yuqi Zhang, Saiji Fu
Analysis of investment effect in Xinjiang from the perspective of nontraditional security. Pers. Ubiquitous Comput. 27(4): 1573-1583 (2023) - 2022
- [j5]Yingjie Tian
Data Boundary and Data Pricing Based on the Shapley Value. IEEE Access 10: 14288-14300 (2022) - [j4]Saiji Fu
Cost sensitive ν-support vector machine with LINEX loss. Inf. Process. Manag. 59(2): 102809 (2022) - [j3]Xiaoxi Zhao, Saiji Fu, Yingjie Tian
Asymmetric and robust loss function driven least squares support vector machine. Knowl. Based Syst. 258: 109990 (2022) - 2021
- [j2]Yingjie Tian
Incomplete-view oriented kernel learning method with generalization error bound. Inf. Sci. 581: 951-977 (2021) - [c3]Saiji Fu
A brief overview of kernel methods with prior information. ITQM 2021: 269-275 - [c2]Kunlong Bai, Saiji Fu
Fine-grained attribute-aware analysis for person re-identification. ITQM 2021: 276-283 - 2020
- [j1]Yingjie Tian
A descriptive framework for the field of deep learning applications in medical images. Knowl. Based Syst. 210: 106445 (2020)
2010 – 2019
- 2018
- [c1]Lingling Zhang, Saiji Fu
Research on Stock Price Forecast Based on News Sentiment Analysis - A Case Study of Alibaba. ICCS (2) 2018: 429-442
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