An Efficient and Accurate Rough Set for Feature Selection,
Classification and Knowledge Representation

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation

29 December 2021

Deyu Meng

Xinbo Gao

Papers citing "An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation"

6 / 6 papers shown

Title
Fuzzy Granule Density-Based Outlier Detection with Multi-Scale Granular Balls C. Gao Xiaofeng Tan Jie Zhou Weiping Ding Witold Pedrycz 28 1 0 06 Jan 2025
A robust three-way classifier with shadowed granular-balls based on justifiable granularity Jie Yang Lingyun Xiaodiao Guoyin Wang Witold Pedrycz Shuyin Xia Qinghua Zhang Di Wu 16 0 0 03 Jul 2024
Open Continual Feature Selection via Granular-Ball Knowledge Transfer Xuemei Cao Xin Yang Shuyin Xia Guoyin Wang Tianrui Li CLL 21 2 0 15 Mar 2024
Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method Shuyin Xia Guoyin Wang Xinbo Gao Xiaoyu Lian 15 8 0 21 Apr 2023
A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set Shuyin Xia Cheng-Yu Wang Guoyin Wang Weiping Ding Xinbo Gao Jianhang Yu Yujia Zhai Zizhong Chen 10 21 0 10 Jan 2022
High-dimensional generalized linear models and the lasso Sara van de Geer 189 750 0 04 Apr 2008