Qingshuo Zhang - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Attribute reduction based on neighborhood constrained fuzzy rough setsMeng Hu, Yanting Guo, Degang Chen 0002, Eric C. C. Tsang, Qingshuo Zhang. kbs, 274:110632, 2023. [doi]

Ensemble of kernel extreme learning machine based elimination optimization for multi-label classificationQingshuo Zhang, Eric C. C. Tsang, Qiang He, Yanting Guo. kbs, 278:110817, October 2023. [doi]

Distance metric learning with local multiple kernel embeddingQingshuo Zhang, Eric C. C. Tsang, Qiang He, Meng Hu. mlc, 14(1):79-92, January 2023. [doi]

2022

A novel approach to concept-cognitive learning in interval-valued formal contexts: a granular computing viewpointMeng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang, Degang Chen, Weihua Xu. mlc, 13(4):1049-1064, 2022. [doi]

2021

An Improved ${k}$-Means Algorithm with Spatial Constraints for Image SegmentationMeng Hu, Eric C. C. Tsang, Yanting Guo, Qingshuo Zhang. icmlc 2021: 1-7 [doi]

Fuzzt Set-Based Kernel Extreme Learning Machine Autoencoder for Multi-Label ClassificationQingshuo Zhang, Eric C. C. Tsang, Meng Hu, Qiang He, Degang Chen. icmlc 2021: 1-6 [doi]

2020

Local Similarity-Based Fuzzy Multiple Kernel One-Class Support Vector MachineQiang He, Qingshuo Zhang, Hengyou Wang, Changlun Zhang. complexity, 2020, 2020. [doi]

2019

Kernel-target Alignment Based Multiple Kernel One-class Support Vector MachineQiang He, Qingshuo Zhang, Hengyou Wang. SMC 2019: 2083-2088 [doi]

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