Breast Cancer Classification Using an Extreme Gradient Boosting Model with F-Score Feature Selection Technique-Reference-Cited by-同舟云学术

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Breast Cancer Classification Using an Extreme Gradient Boosting Model with F-Score Feature Selection Technique

Published:2023 Issue:2 Volume:14 Page:363-372
ISSN:1798-2340
Container-title:Journal of Advances in Information Technology
language:
Short-container-title:JAIT

Author:

Mathew Tina Elizabeth

Publisher

Engineering and Technology Publishing

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software

Link

http://www.jait.us/uploadfile/2023/JAIT-V14N2-363.pdf

Cited by 5 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. A word structure similarity framework for Wordle game;Fifteenth International Conference on Signal Processing Systems (ICSPS 2023);2024-03-28

2. Comparative Analysis of Transfer Learning and Customized Deep Convolutional Neural Networks for Breast Cancer Detection and Classification;2023 9th International Conference on Mechanical and Electronics Engineering (ICMEE);2023-11-17

3. ECG Classification with Dual Models: XGBoost Voting and Deep Learning with Attention;2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE);2023-09-15

4. A Multi-View Graph-Based Scheme for Drug-Drug Interactions Categorization;2023 16th International Conference on Advanced Computer Theory and Engineering (ICACTE);2023-09-15

5. Modelling Nanofluid Viscosity: Comparing Models and Optimizing Feature Selection - A Novel Approach;2023-08-02

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