An automatic feature construction method for salient object detection: A genetic programming approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An automatic feature construction method for salient object detection: A genetic programming approach

Published:2021-12 Issue: Volume:186 Page:115726
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Moghaddam Shima Afzali Vahed^ORCID,Al-Sahaf Harith,Xue Bing,Hollitt Christopher,Zhang Mengjie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference53 articles.

1. Frequency-tuned salient region detection;Achanta,2009

2. A genetic programming approach for constructing foreground and background saliency features for salient object detection;Afzali,2018

3. Genetic programming for feature selection and feature combination in salient object detection;Afzali,2019

4. Genetic programming for feature selection and feature construction in skin cancer image classification;Ain,2018

5. Genetic programming for automatically synthesising robust image descriptors with a small number of instances;Al-Sahaf,2017

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy feature factorization machine: Bridging feature interaction, selection, and construction;Expert Systems with Applications;2024-12

2. Archive-based multiple feature construction methods using adaptive Genetic Programming;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

3. Symbolic regression with feature selection of dye biosorption from an aqueous solution using pumpkin seed husk using evolutionary computation-based automatic programming methods;Expert Systems with Applications;2023-11

4. Non-binary IoU and progressive coupling and refining network for salient object detection;Expert Systems with Applications;2023-11

5. Automatic design of machine learning via evolutionary computation: A survey;Applied Soft Computing;2023-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3