A mixed solution-based high agreement filtering method for class noise detection in binary classification-Reference-Cited by-同舟云学术

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A mixed solution-based high agreement filtering method for class noise detection in binary classification

Published:2020-09 Issue: Volume:553 Page:124219
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Samami Maryam,Akbari Ebrahim,Abdar Moloud,Plawiak Pawel,Nematzadeh Hossein,Basiri Mohammad Ehsan,Makarenkov Vladimir

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference56 articles.

1. Mining maximal quasi-bicliques: Novel algorithm and applications in the stock market and protein networks;Sim;Stat. Anal. Data Min.,2009

2. A survey on unsupervised outlier detection in high-dimensional numerical data;Zimek;Stat. Anal. Data Min.,2012

3. Relating ensemble diversity and performance: A study in class noise detection;Sluban;Neurocomputing,2015

4. Detecting potential labeling errors for bioinformatics by multiple voting;Guan;Knowl.-Based Syst.,2014

5. Noise detection in the meta-learning level;Garcia;Neurocomputing,2016

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