ReP USP - Resultado da busca

Trabalho de evento-anais periodico
Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course (2018)
Penteado, Bruno Elias; Isotani, Seiji ; Paiva, Paula M; Morettin-Zupelari, Marina; Ferrari, Deborah Viviane
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence in Education - AIED. Unidades: ICMC, FOB
Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS, ENSINO E APRENDIZAGEM, EDUCAÇÃO A DISTÂNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENTEADO, Bruno Elias et al. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93846-2_49. Acesso em: 04 jul. 2025. , 2018
APA
Penteado, B. E., Isotani, S., Paiva, P. M., Morettin-Zupelari, M., & Ferrari, D. V. (2018). Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93846-2_49
NLM
Penteado BE, Isotani S, Paiva PM, Morettin-Zupelari M, Ferrari DV. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course [Internet]. Lecture Notes in Computer Science. 2018 ; 10948 266-270.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-93846-2_49
Vancouver
Penteado BE, Isotani S, Paiva PM, Morettin-Zupelari M, Ferrari DV. Prediction of interpersonal help-seeking behavior from log files in an in-service education distance course [Internet]. Lecture Notes in Computer Science. 2018 ; 10948 266-270.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-93846-2_49
Trabalho de evento-anais periodico
On the support of the similarity-aware division operator in a commercial RDBMS (2018)
Vasconcelos, Guilherme Q; Kaster, Daniel S; Cordeiro, Robson Leonardo Ferreira
Source: Lecture Notes in Computer Science. Conference titles: European Conference on Advances in Databases and Information Systems - ADBIS. Unidade: ICMC
Subjects: GERENCIADORES DE BANCO DE DADOS, RECONHECIMENTO DE PADRÕES, ALGORITMOS, SQL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASCONCELOS, Guilherme Q e KASTER, Daniel S e CORDEIRO, Robson Leonardo Ferreira. On the support of the similarity-aware division operator in a commercial RDBMS. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-98398-1_10. Acesso em: 04 jul. 2025. , 2018
APA
Vasconcelos, G. Q., Kaster, D. S., & Cordeiro, R. L. F. (2018). On the support of the similarity-aware division operator in a commercial RDBMS. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-98398-1_10
NLM
Vasconcelos GQ, Kaster DS, Cordeiro RLF. On the support of the similarity-aware division operator in a commercial RDBMS [Internet]. Lecture Notes in Computer Science. 2018 ; 11019 142-155.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-98398-1_10
Vancouver
Vasconcelos GQ, Kaster DS, Cordeiro RLF. On the support of the similarity-aware division operator in a commercial RDBMS [Internet]. Lecture Notes in Computer Science. 2018 ; 11019 142-155.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-319-98398-1_10
Trabalho de evento-anais periodico
Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems (2013)
Gois, Marcilene Moreira; Sanches, Danilo Sipoli; Martins, Jean Paulo; London Junior, João Bosco Augusto ; Delbem, Alexandre Cláudio Botazzo
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Evolutionary Multi-Criterion Optimization. Unidades: EESC, ICMC
Subjects: ALGORITMOS, SISTEMAS DISTRIBUÍDOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOIS, Marcilene Moreira et al. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-642-37140-0_57. Acesso em: 04 jul. 2025. , 2013
APA
Gois, M. M., Sanches, D. S., Martins, J. P., London Junior, J. B. A., & Delbem, A. C. B. (2013). Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems. Lecture Notes in Computer Science. Heidelberg: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-642-37140-0_57
NLM
Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
Vancouver
Gois MM, Sanches DS, Martins JP, London Junior JBA, Delbem ACB. Multi-objective evolutionary algorithm with node-depth encoding and strength Pareto for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science. 2013 ; 7811 771-786.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-37140-0_57
Trabalho de evento-anais periodico
Efficient parametric adjustment of fuzzy inference system using error backpropagation method (2009)
Silva, Ivan Nunes da ; Flauzino, Rogério Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Neural Networks - ICANN. Unidade: EESC
Subjects: LÓGICA FUZZY, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Ivan Nunes da e FLAUZINO, Rogério Andrade. Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. Disponível em: https://doi.org/10.1007/978-3-642-04274-4_83. Acesso em: 04 jul. 2025. , 2009
APA
Silva, I. N. da, & Flauzino, R. A. (2009). Efficient parametric adjustment of fuzzy inference system using error backpropagation method. Lecture Notes in Computer Science. Heidelberg: Springer Berlim. doi:10.1007/978-3-642-04274-4_83
NLM
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83
Vancouver
Silva IN da, Flauzino RA. Efficient parametric adjustment of fuzzy inference system using error backpropagation method [Internet]. Lecture Notes in Computer Science. 2009 ; 5768 807-816.[citado 2025 jul. 04 ] Available from: https://doi.org/10.1007/978-3-642-04274-4_83

USP Schools

ReP

Bem vindo,

Filtros

Authors

USP affiliated authors

Subjects