Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks

Áreas de investigación:

• Methodology - Multiobjective evolutionary algorithms

Año:

2019

Tipo de publicación:

Artículo

Autores:

• Fernández, Juan Carlos
• Carbonero-Ruz, Mariano
• Gutiérrez, Pedro Antonio
• Hervás-Martínez, César

Journal:

Applied Intelligence

Volumen:

49

Número:

9

Páginas:

3447-3463

ISSN:

0924-669X

BibTex:

@article{Fernandez2019Multi, author = "Juan Carlos Fern{\'a}ndez and Mariano Carbonero-Ruz and Pedro Antonio Guti{\'e}rrez and C{\'e}sar Herv{\'a}s-Mart{\'i}nez", awards = "JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", comments = "JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", doi = "https://doi.org/10.1007/s10489-019-01447-y", issn = "0924-669X", journal = "Applied Intelligence", note = "JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE", number = "9", pages = "3447-3463", title = "{M}ulti-objective evolutionary optimization using the relationship between {F}1 and accuracy metrics in classification tasks", url = "http://doi.org/10.1007/s10489-019-01447-y", volume = "49", year = "2019", }

Nota:

JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Comentarios:

JCR(2019): 3.325 Position: 42/136 (Q2) Category: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE