2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
A Novel Meta Learning Framework for Feature Selection using Data Synthesis and Fuzzy Similarity
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
This paper presents a novel meta learning framework for feature selection (FS) based on fuzzy similarity. The proposed method aims to recommend the best FS method from four candida…
cs.LG2020
A Novel Weighted Combination Method for Feature Selection using Fuzzy Sets
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, we propose a novel weighted combination feature selection method using bootstrap and fuzzy sets. The proposed method mainly consists of three processes, including fu…
cs.LG2020
Performance Optimization of a Fuzzy Entropy based Feature Selection and Classification Framework
Zixiao Shen, Xin Chen, Jonathan M. Garibaldi
In this paper, based on a fuzzy entropy feature selection framework, different methods have been implemented and compared to improve the key components of the framework. Those meth…