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Open Access

Peer-reviewed

Research Article

On the use of multi–objective evolutionary classifiers for breast cancer detection

Laura Dioşan ,

Contributed equally to this work with: Laura Dioşan, Anca Andreica, Irina Voiculescu

Roles Conceptualization, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

* E-mail: laura.diosan@ubbcluj.ro

Affiliation Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania

https://orcid.org/0000-0002-6339-1622

⨯
Anca Andreica ,

Contributed equally to this work with: Laura Dioşan, Anca Andreica, Irina Voiculescu

Roles Conceptualization, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania
⨯
Irina Voiculescu

Contributed equally to this work with: Laura Dioşan, Anca Andreica, Irina Voiculescu

Roles Conceptualization, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of Oxford, Oxford, United Kingdom
⨯

On the use of multi–objective evolutionary classifiers for breast cancer detection

Laura Dioşan,
Anca Andreica,
Irina Voiculescu

x

Published: July 19, 2022
https://doi.org/10.1371/journal.pone.0269950

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Breast cancer
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Optimization
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Evolutionary algorithms
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Machine learning algorithms
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Decision trees
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