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Filtros : "Sanches, Danilo Sipoli" "Brazilian Conference on Intelligent Systems - BRACIS" Limpar

Filtros

USP affiliated authors
- carvalho, andré carlos ponce de leon ferreira de (~1)
- tinós, renato (~1)
Date published
- 2021 (~1)
- 2019 (~1)
Subjects
- algoritmos genéticos (2)
- aprendizado computacional (1)
- bioinformática (1)
- heurística (1)
- otimização combinatória (1)

Trabalho de evento-anais periodico
A graph-based crossover and soft-repair operators for the steiner tree problem (2021)
Godoi, Giliard Almeida de; Tinós, Renato ; Sanches, Danilo Sipoli
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: TEORIA DOS GRAFOS, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GODOI, Giliard Almeida de e TINÓS, Renato e SANCHES, Danilo Sipoli. A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_8. Acesso em: 01 nov. 2024. , 2021
APA
Godoi, G. A. de, Tinós, R., & Sanches, D. S. (2021). A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91702-9_8
NLM
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Vancouver
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Trabalho de evento
Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100
NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100

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