Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data-Reference-Cited by-同舟云学术

Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data

Published:2020-11 Issue: Volume:158 Page:113026
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

García V.^ORCID,Sánchez J.S.^ORCID,Marqués A.I.,Florencia R.,Rivera G.^ORCID

Funder

Generalitat Valenciana

Universitat Jaume I

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference105 articles.

1. KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;Journal of Multiple-Valued Logic and Soft Computing,2011

2. The study of under- and over-sampling methods’ utility in analysis of highly imbalanced data on osteoporosis;Bach;Information Sciences,2017

3. Wrapper-based fuzzy inductive reasoning model identification for imbalance data classification;Bagherpour,2018

4. High dimensional classifiers in the imbalanced case;Bak;Computational Statistics & Data Analysis,2016

5. A study of the behavior of several methods for balancing machine learning training data;Batista;ACM SIGKDD Explorations Newsletter,2004

Cited by 68 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. PFSC: Parameter-free sphere classifier for imbalanced data classification;Expert Systems with Applications;2024-09

2. Mitigation of urban road collapses based on machine learning via integrating susceptibility assessment and geophysical detection validation;International Journal of Disaster Risk Reduction;2024-09

3. CPS-3WS: A critical pattern supported three-way sampling method for classifying class-overlapped imbalanced data;Information Sciences;2024-08

4. Automation detection of asphalt pavement bleeding for imbalanced datasets using an anomaly detection approach;Measurement;2024-08

5. A data-centric machine learning approach to improve prediction of glioma grades using low-imbalance TCGA data;Scientific Reports;2024-07-26