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Trabalho de evento
Combining artificial neural networks and evolution to solve multiobjective knapsack problems (2019)
Denysiuk, Roman ; Gaspar-Cunha, António ; Delbem, Alexandre Cláudio Botazzo
Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidade: ICMC
Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE DESEMPENHO, APRENDIZAGEM, COMPUTAÇÃO EVOLUTIVA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DENYSIUK, Roman e GASPAR-CUNHA, António e DELBEM, Alexandre Cláudio Botazzo. Combining artificial neural networks and evolution to solve multiobjective knapsack problems. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3319619.3326757. Acesso em: 09 nov. 2024.
APA
Denysiuk, R., Gaspar-Cunha, A., & Delbem, A. C. B. (2019). Combining artificial neural networks and evolution to solve multiobjective knapsack problems. In Proceedings. New York: ACM. doi:10.1145/3319619.3326757
NLM
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Combining artificial neural networks and evolution to solve multiobjective knapsack problems [Internet]. Proceedings. 2019 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3319619.3326757
Vancouver
Denysiuk R, Gaspar-Cunha A, Delbem ACB. Combining artificial neural networks and evolution to solve multiobjective knapsack problems [Internet]. Proceedings. 2019 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1145/3319619.3326757
Trabalho de evento
Cooperative collision warning for driving assistance (2016)
Gómez, Andrés E; Glaser, Sebastien; Alayli, Yasser; Neto, Arthur de M; Wolf, Denis Fernando
Source: Proceedings. Conference titles: IEEE International Conference on Intelligent Transportation Systems - ITSC. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÓMEZ, Andrés E et al. Cooperative collision warning for driving assistance. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/ITSC.2016.7795676. Acesso em: 09 nov. 2024.
APA
Gómez, A. E., Glaser, S., Alayli, Y., Neto, A. de M., & Wolf, D. F. (2016). Cooperative collision warning for driving assistance. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ITSC.2016.7795676
NLM
Gómez AE, Glaser S, Alayli Y, Neto A de M, Wolf DF. Cooperative collision warning for driving assistance [Internet]. Proceedings. 2016 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ITSC.2016.7795676
Vancouver
Gómez AE, Glaser S, Alayli Y, Neto A de M, Wolf DF. Cooperative collision warning for driving assistance [Internet]. Proceedings. 2016 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ITSC.2016.7795676
Trabalho de evento
Exploiting fully convolutional neural networks for fast road detection (2016)
Mendes, Caio César Teodoro; Frémont, Vincent; Wolf, Denis Fernando
Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA 2016. Unidade: ICMC
Subjects: COMPUTAÇÃO EVOLUTIVA, SISTEMAS EMBUTIDOS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MENDES, Caio César Teodoro e FRÉMONT, Vincent e WOLF, Denis Fernando. Exploiting fully convolutional neural networks for fast road detection. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICRA.2016.7487486. Acesso em: 09 nov. 2024.
APA
Mendes, C. C. T., Frémont, V., & Wolf, D. F. (2016). Exploiting fully convolutional neural networks for fast road detection. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/ICRA.2016.7487486
NLM
Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486
Vancouver
Mendes CCT, Frémont V, Wolf DF. Exploiting fully convolutional neural networks for fast road detection [Internet]. Proceedings. 2016 ;[citado 2024 nov. 09 ] Available from: https://doi.org/10.1109/ICRA.2016.7487486

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