28 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.AI2022★ 28 cited
An Accelerator for Rule Induction in Fuzzy Rough Theory
Suyun Zhao, Zhigang Dai, Xizhao Wang +4
Rule-based classifier, that extract a subset of induced rules to efficiently learn/mine while preserving the discernibility information, plays a crucial role in human-explainable a…
cs.LG2021★ 1 cited
Adversarial Learning with Cost-Sensitive Classes
Haojing Shen, Sihong Chen, Ran Wang +1
It is necessary to improve the performance of some special classes or to particularly protect them from attacks in adversarial learning. This paper proposes a framework combining c…
cs.CV2020★ 1 cited
A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning
Zhongwu Xie, Weipeng Cao, Xizhao Wang +3
Most of the Zero-Shot Learning (ZSL) algorithms currently use pre-trained models as their feature extractors, which are usually trained on the ImageNet data set by using deep neura…