Saiji Fu

Orcid: 0000-0002-5233-5094

According to our database1, Saiji Fu authored at least 17 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Coarse-grained privileged learning for classification.
Inf. Process. Manag., November, 2023

Robust regression under the general framework of bounded loss functions.
Eur. J. Oper. Res., November, 2023

Multi-view side information-incorporated tensor completion.
Numer. Linear Algebra Appl., October, 2023

Multi-view cost-sensitive kernel learning for imbalanced classification problem.
Neurocomputing, October, 2023

Analysis of investment effect in Xinjiang from the perspective of nontraditional security.
Pers. Ubiquitous Comput., August, 2023

Partial label learning: Taxonomy, analysis and outlook.
Neural Networks, April, 2023

Cost-sensitive learning with modified Stein loss function.
Neurocomputing, March, 2023

Robust multi-view learning with the bounded LINEX loss.
Neurocomputing, 2023

Kernel methods with asymmetric and robust loss function.
Expert Syst. Appl., 2023

2022
Asymmetric and robust loss function driven least squares support vector machine.
Knowl. Based Syst., 2022

Cost sensitive ν-support vector machine with LINEX loss.
Inf. Process. Manag., 2022

Data Boundary and Data Pricing Based on the Shapley Value.
IEEE Access, 2022

2021
Incomplete-view oriented kernel learning method with generalization error bound.
Inf. Sci., 2021

A brief overview of kernel methods with prior information.
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Fine-grained attribute-aware analysis for person re-identification.
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020
A descriptive framework for the field of deep learning applications in medical images.
Knowl. Based Syst., 2020

2018
Research on Stock Price Forecast Based on News Sentiment Analysis - A Case Study of Alibaba.
Proceedings of the Computational Science - ICCS 2018, 2018


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