ReP USP - Resultado da busca

Trabalho de evento
Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees (2023)
Vieira, Ewerton R; Sivaramakrishnan, Aravind ; Song, Yao; Granados, Edgar; Gameiro, Márcio Fuzeto ; Mischaikow, Konstantin ; Hung, Ying ; Bekris, Kostas E
Source: Proceedings. Conference titles: IEEE International Conference on Robotics and Automation - ICRA. Unidade: ICMC
Subjects: TOPOLOGIA, ROBÔS, PROCESSOS GAUSSIANOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Ewerton R et al. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICRA48891.2023.10160428. Acesso em: 27 nov. 2025.
APA
Vieira, E. R., Sivaramakrishnan, A., Song, Y., Granados, E., Gameiro, M. F., Mischaikow, K., et al. (2023). Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees. In Proceedings. Piscataway: IEEE. doi:10.1109/ICRA48891.2023.10160428
NLM
Vieira ER, Sivaramakrishnan A, Song Y, Granados E, Gameiro MF, Mischaikow K, Hung Y, Bekris KE. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees [Internet]. Proceedings. 2023 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ICRA48891.2023.10160428
Vancouver
Vieira ER, Sivaramakrishnan A, Song Y, Granados E, Gameiro MF, Mischaikow K, Hung Y, Bekris KE. Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees [Internet]. Proceedings. 2023 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ICRA48891.2023.10160428
Artigo de periodico
Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop (2023)
Cummins, Breschine ; Vrana, Justin ; Moseley, Robert C ; Eramian, Hamed; Deckard, Anastasia ; Fontanarrosa, Pedro ; Bryce, Daniel ; Weston, Mark ; Zheng, George; Nowak, Joshua ; Motta, Francis C ; Eslami, Mohammed ; Johnson, Kara Layne; Goldman, Robert P ; Myers, Chris J; Johnson, Tessa; Vaughn, Matthew W ; Gaffney, Niall ; Urrutia, Joshua ; Gopaulakrishnan, Shweta; Biggers, Vanessa ; Higa, Trissha R; Mosqueda, Lorraine A; Gameiro, Márcio Fuzeto ; Gedeon, Tomás ; Mischaikow, Konstantin ; Beal, Jacob ; Bartley, Bryan ; Mitchell, Tom ; Nguyen, Tramy T ; Roehner, Nicholas; Haase, Steve
Source: Synthetic Biology. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, CITOMETRIA DE FLUXO, CIRCUITOS LÓGICOS, LEVEDURAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUMMINS, Breschine et al. Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop. Synthetic Biology, v. 8, n. 1, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1093/synbio/ysad005. Acesso em: 27 nov. 2025.
APA
Cummins, B., Vrana, J., Moseley, R. C., Eramian, H., Deckard, A., Fontanarrosa, P., et al. (2023). Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop. Synthetic Biology, 8( 1), 1-17. doi:10.1093/synbio/ysad005
NLM
Cummins B, Vrana J, Moseley RC, Eramian H, Deckard A, Fontanarrosa P, Bryce D, Weston M, Zheng G, Nowak J, Motta FC, Eslami M, Johnson KL, Goldman RP, Myers CJ, Johnson T, Vaughn MW, Gaffney N, Urrutia J, Gopaulakrishnan S, Biggers V, Higa TR, Mosqueda LA, Gameiro MF, Gedeon T, Mischaikow K, Beal J, Bartley B, Mitchell T, Nguyen TT, Roehner N, Haase S. Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop [Internet]. Synthetic Biology. 2023 ; 8( 1): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1093/synbio/ysad005
Vancouver
Cummins B, Vrana J, Moseley RC, Eramian H, Deckard A, Fontanarrosa P, Bryce D, Weston M, Zheng G, Nowak J, Motta FC, Eslami M, Johnson KL, Goldman RP, Myers CJ, Johnson T, Vaughn MW, Gaffney N, Urrutia J, Gopaulakrishnan S, Biggers V, Higa TR, Mosqueda LA, Gameiro MF, Gedeon T, Mischaikow K, Beal J, Bartley B, Mitchell T, Nguyen TT, Roehner N, Haase S. Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop [Internet]. Synthetic Biology. 2023 ; 8( 1): 1-17.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1093/synbio/ysad005
Artigo de periodico
Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning (2021)
Calcina, Sabrina Graciela Suárez ; Gameiro, Márcio Fuzeto
Source: Mathematics and Computers in Simulation. Unidade: ICMC
Subjects: EQUAÇÕES DIFERENCIAIS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALCINA, Sabrina Graciela Suárez e GAMEIRO, Márcio Fuzeto. Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning. Mathematics and Computers in Simulation, v. 185, p. 719-732, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.matcom.2021.01.013. Acesso em: 27 nov. 2025.
APA
Calcina, S. G. S., & Gameiro, M. F. (2021). Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning. Mathematics and Computers in Simulation, 185, 719-732. doi:10.1016/j.matcom.2021.01.013
NLM
Calcina SGS, Gameiro MF. Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning [Internet]. Mathematics and Computers in Simulation. 2021 ; 185 719-732.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.matcom.2021.01.013
Vancouver
Calcina SGS, Gameiro MF. Parameter estimation in systems exhibiting spatially complex solutions via persistent homology and machine learning [Internet]. Mathematics and Computers in Simulation. 2021 ; 185 719-732.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1016/j.matcom.2021.01.013
Trabalho de evento
Hyperparameter optimization of topological features for machine learning applications (2019)
Motta, Francis ; Tralie, Christopher ; Bedini, Rossella ; Bini, Fabiano; Bini, Gilberto; Eramian, Hamed; Gameiro, Márcio Fuzeto ; Haase, Steve ; Haddox, Hugh ; Harer, John ; Leiby, Nick; Marinozzi, Franco ; Novotney, Scott; Rocklin, Gabe ; Singer, Jed; Strickland, Devin ; Vaughn, Matt
Source: Proceedings. Conference titles: IEEE International Conference On Machine Learning And Applications - ICMLA. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TOPOLOGIA, ALGORITMOS ÚTEIS E ESPECÍFICOS, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Francis et al. Hyperparameter optimization of topological features for machine learning applications. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICMLA.2019.00185. Acesso em: 27 nov. 2025.
APA
Motta, F., Tralie, C., Bedini, R., Bini, F., Bini, G., Eramian, H., et al. (2019). Hyperparameter optimization of topological features for machine learning applications. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICMLA.2019.00185
NLM
Motta F, Tralie C, Bedini R, Bini F, Bini G, Eramian H, Gameiro MF, Haase S, Haddox H, Harer J, Leiby N, Marinozzi F, Novotney S, Rocklin G, Singer J, Strickland D, Vaughn M. Hyperparameter optimization of topological features for machine learning applications [Internet]. Proceedings. 2019 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ICMLA.2019.00185
Vancouver
Motta F, Tralie C, Bedini R, Bini F, Bini G, Eramian H, Gameiro MF, Haase S, Haddox H, Harer J, Leiby N, Marinozzi F, Novotney S, Rocklin G, Singer J, Strickland D, Vaughn M. Hyperparameter optimization of topological features for machine learning applications [Internet]. Proceedings. 2019 ;[citado 2025 nov. 27 ] Available from: https://doi.org/10.1109/ICMLA.2019.00185
Trabalho de evento-anais periodico
Parameter identification in a predator-prey system using persistent homology (2018)
Calcina, Sabrina Graciela Suárez; Gameiro, Márcio Fuzeto
Source: Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. Conference titles: Congresso Nacional de Matemática Aplicada e Computacional - CNMAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, TOPOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CALCINA, Sabrina Graciela Suárez e GAMEIRO, Márcio Fuzeto. Parameter identification in a predator-prey system using persistent homology. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos: SBMAC. Disponível em: https://doi.org/10.5540/03.2018.006.02.0444. Acesso em: 27 nov. 2025. , 2018
APA
Calcina, S. G. S., & Gameiro, M. F. (2018). Parameter identification in a predator-prey system using persistent homology. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. São Carlos: SBMAC. doi:10.5540/03.2018.006.02.0444
NLM
Calcina SGS, Gameiro MF. Parameter identification in a predator-prey system using persistent homology [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2018 ; 6( 2): 010444-1-010444-7.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5540/03.2018.006.02.0444
Vancouver
Calcina SGS, Gameiro MF. Parameter identification in a predator-prey system using persistent homology [Internet]. Proceeding Series of the Brazilian Society of Computational and Applied Mathematics. 2018 ; 6( 2): 010444-1-010444-7.[citado 2025 nov. 27 ] Available from: https://doi.org/10.5540/03.2018.006.02.0444

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