Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems (2015)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.neucom.2015.02.077
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Neurocomputing
- ISSN: 0925-2312
- Volume/Número/Paginação/Ano: v. 163, p. 1-2, Sept. 2015
- Conference titles: International Conference on Hybrid Artificial Intelligent Systems - HAIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
QUINTIÁN, Héctor et al. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.neucom.2015.02.077. Acesso em: 24 abr. 2024. , 2015 -
APA
Quintián, H., Corchado, E., Abraham, A., Carvalho, A. C. P. de L. F. de, Wozniak, M., Snásel, V., & Sung-Bae, C. (2015). Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.neucom.2015.02.077 -
NLM
Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077 -
Vancouver
Quintián H, Corchado E, Abraham A, Carvalho ACP de LF de, Wozniak M, Snásel V, Sung-Bae C. Special issue HAIS 2012 [Editorial]: recent advancements in hybrid artificial intelligence systems and its application to real-world problems [Internet]. Neurocomputing. 2015 ; 163 1-2.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.neucom.2015.02.077 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1016/j.neucom.2015.02.077 (Fonte: oaDOI API)
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