featsel: a framework for benchmarking of feature selection algorithms and cost functions (2017)
- Authors:
- USP affiliated authors: FERREIRA, CARLOS EDUARDO - IME ; BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.1016/j.softx.2017.07.005
- Assunto: ÁLGEBRAS DE BOOLE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
REIS, Marcelo da Silva et al. featsel: a framework for benchmarking of feature selection algorithms and cost functions. SoftwareX, v. 6, p. 193-197, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.softx.2017.07.005. Acesso em: 15 fev. 2026. -
APA
Reis, M. da S., Estrela, G., Ferreira, C. E., & Barrera, J. (2017). featsel: a framework for benchmarking of feature selection algorithms and cost functions. SoftwareX, 6, 193-197. doi:10.1016/j.softx.2017.07.005 -
NLM
Reis M da S, Estrela G, Ferreira CE, Barrera J. featsel: a framework for benchmarking of feature selection algorithms and cost functions [Internet]. SoftwareX. 2017 ; 6 193-197.[citado 2026 fev. 15 ] Available from: https://doi.org/10.1016/j.softx.2017.07.005 -
Vancouver
Reis M da S, Estrela G, Ferreira CE, Barrera J. featsel: a framework for benchmarking of feature selection algorithms and cost functions [Internet]. SoftwareX. 2017 ; 6 193-197.[citado 2026 fev. 15 ] Available from: https://doi.org/10.1016/j.softx.2017.07.005 - Optimal Boolean lattice-based algorithms for the U-curve optimization problem
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Informações sobre o DOI: 10.1016/j.softx.2017.07.005 (Fonte: oaDOI API)
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