Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine-Reference-Cited by-同舟云学术

Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine

Published:2019 Issue: Volume:162 Page:307-315
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Tuba Eva,Strumberger Ivana,Bezdan Timea,Bacanin Nebojsa,Tuba Milan

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Feature fusion based SVM classifier for protein subcellular localization prediction;Rahman;Journal of integrative bioinformatics,2016

2. Sentiment analysis on social media for stock movement prediction;Nguyen;Expert Systems with Applications,2015

3. Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture based clustering features;Velmurugan;Artificial Intelligent Systems and Machine Learning,2017

4. Dynamic bayesian network for semantic place classification in mobile robotics;Premebida;Autonomous Robots,2017

5. Application of k-means and genetic algorithms for dimension reduction by integrating SVM for diabetes diagnosis;Santhanam;Procedia Computer Science,2015

Cited by 58 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. Optimizing Machine Learning for Breast Cancer Detection by Hybrid Metaheuristic Approach;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

2. Metaheuristic Algorithms for Optimization: A Brief Review;RAiSE-2023;2024-03-13

3. Effective task scheduling based on interactive autodidactic school algorithm for cloud computing;Automatika;2023-12-10

4. Imbalanced Data Classification using Optimized Support Vector Machine for IoMT Application;2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC);2023-11-17

5. Monkeypox diagnosis using ensemble classification;Artificial Intelligence in Medicine;2023-09