Automatic recommendation of feature selection algorithms based on dataset characteristics (2021)
- Authors:
- Autor USP: PARMEZAN, ANTONIO RAFAEL SABINO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2021.115589
- Subjects: APRENDIZADO COMPUTACIONAL; MINERAÇÃO DE DADOS; RECONHECIMENTO DE PADRÕES; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: Feature engineering; Characterization measures; Algorithm selection; Recommendation system; Filter; Wrapper
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Kidlington
- Date published: 2021
- Source:
- Título do periódico: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 185, p. 1-30, Dec. 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PARMEZAN, Antonio Rafael Sabino et al. Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, v. 185, p. 1-30, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2021.115589. Acesso em: 05 jun. 2024. -
APA
Parmezan, A. R. S., Lee, H. D., Spolaôr, N., & Wu, F. C. (2021). Automatic recommendation of feature selection algorithms based on dataset characteristics. Expert Systems with Applications, 185, 1-30. doi:10.1016/j.eswa.2021.115589 -
NLM
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589 -
Vancouver
Parmezan ARS, Lee HD, Spolaôr N, Wu FC. Automatic recommendation of feature selection algorithms based on dataset characteristics [Internet]. Expert Systems with Applications. 2021 ; 185 1-30.[citado 2024 jun. 05 ] Available from: https://doi.org/10.1016/j.eswa.2021.115589 - Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
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Informações sobre o DOI: 10.1016/j.eswa.2021.115589 (Fonte: oaDOI API)
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