ReP USP - Resultado da busca

Trabalho de evento-anais periodico
National network for rare diseases in Brazil: the computational infrastructure and preliminary results (2022)
Yamada, Diego Bettiol ; Bernardi, Filipe Andrade ; Colombo Filho, Márcio Eloi ; Neiva, Mariane Barros ; Lima, Vinícius Costa ; Vinci, André Luiz Teixeira ; Oliveira, Bibiana Mello de ; Félix, Têmis Maria ; Alves, Domingos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, Interunidades em Bioengenharia, ICMC
Assuntos: DOENÇAS RARAS, SAÚDE PÚBLICA, PROFISSIONAIS DA SAÚDE, TECNOLOGIA DA INFORMAÇÃO, ASSISTÊNCIA AO PACIENTE (SERVIÇOS DE SAÚDE)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YAMADA, Diego Bettiol et al. National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_4. Acesso em: 06 jul. 2025. , 2022
APA
Yamada, D. B., Bernardi, F. A., Colombo Filho, M. E., Neiva, M. B., Lima, V. C., Vinci, A. L. T., et al. (2022). National network for rare diseases in Brazil: the computational infrastructure and preliminary results. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_4
NLM
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Vancouver
Yamada DB, Bernardi FA, Colombo Filho ME, Neiva MB, Lima VC, Vinci ALT, Oliveira BM de, Félix TM, Alves D. National network for rare diseases in Brazil: the computational infrastructure and preliminary results [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 43-49.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_4
Trabalho de evento-anais periodico
MiDaS: extract golden results from knowledge discovery even over incomplete databases (2022)
Rodrigues, Lucas Santiago ; Vespa, Thiago Galbiatti ; Eleutério, Igor Alberte Rodrigues; Oliveira, Willian Dener de ; Traina, Agma Juci Machado ; Traina Junior, Caetano
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: DESCOBERTA DE CONHECIMENTO, GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Lucas Santiago et al. MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08760-8_54. Acesso em: 06 jul. 2025. , 2022
APA
Rodrigues, L. S., Vespa, T. G., Eleutério, I. A. R., Oliveira, W. D. de, Traina, A. J. M., & Traina Junior, C. (2022). MiDaS: extract golden results from knowledge discovery even over incomplete databases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08760-8_54
NLM
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Vancouver
Rodrigues LS, Vespa TG, Eleutério IAR, Oliveira WD de, Traina AJM, Traina Junior C. MiDaS: extract golden results from knowledge discovery even over incomplete databases [Internet]. Lecture Notes in Computer Science. 2022 ; 13353 653-667.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08760-8_54
Trabalho de evento-anais periodico
Knowledge discovery in databases: comorbidities in tuberculosis cases (2022)
Carvalho, Isabelle ; Neiva, Mariane Barros ; Miyoshi, Newton Shydeo Brandão ; Crepaldi, Nathalia Yukie ; Bernardi, Filipe Andrade ; Lima, Vinícius Costa ; Santos, Ketlin Fabri dos ; Mioto, Ana Clara de Andrade ; Mozini, Mariana Tavares ; Galliez, Rafael Mello ; Sanchez, Mauro Niskier ; Kritski, Afrânio Lineu ; Alves, Domingos
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, ICMC, Interunidades em Bioengenharia
Assuntos: COMORBIDADE, TUBERCULOSE, SAÚDE PÚBLICA, DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Isabelle et al. Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-08757-8_1. Acesso em: 06 jul. 2025. , 2022
APA
Carvalho, I., Neiva, M. B., Miyoshi, N. S. B., Crepaldi, N. Y., Bernardi, F. A., Lima, V. C., et al. (2022). Knowledge discovery in databases: comorbidities in tuberculosis cases. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-08757-8_1
NLM
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Vancouver
Carvalho I, Neiva MB, Miyoshi NSB, Crepaldi NY, Bernardi FA, Lima VC, Santos KF dos, Mioto AC de A, Mozini MT, Galliez RM, Sanchez MN, Kritski AL, Alves D. Knowledge discovery in databases: comorbidities in tuberculosis cases [Internet]. Lecture Notes in Computer Science. 2022 ; 13352 3-13.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Trabalho de evento-anais periodico
Fast and scalable outlier detection with metric access methods (2019)
Bispo Junior, Altamir Gomes; Cordeiro, Robson Leonardo Ferreira
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: COMPUTAÇÃO APLICADA, MINERAÇÃO DE DADOS, ALGORITMOS PARA PROCESSAMENTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BISPO JUNIOR, Altamir Gomes e CORDEIRO, Robson Leonardo Ferreira. Fast and scalable outlier detection with metric access methods. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22741-8_14. Acesso em: 06 jul. 2025. , 2019
APA
Bispo Junior, A. G., & Cordeiro, R. L. F. (2019). Fast and scalable outlier detection with metric access methods. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22741-8_14
NLM
Bispo Junior AG, Cordeiro RLF. Fast and scalable outlier detection with metric access methods [Internet]. Lecture Notes in Computer Science. 2019 ; 11537 189-203.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22741-8_14
Vancouver
Bispo Junior AG, Cordeiro RLF. Fast and scalable outlier detection with metric access methods [Internet]. Lecture Notes in Computer Science. 2019 ; 11537 189-203.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22741-8_14
Trabalho de evento-anais periodico
High performance algorithms for counting collisions and pairwise interactions (2019)
Saldanha, Matheus Henrique Junqueira; Souza, Paulo Sérgio Lopes de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: ALGORITMOS ÚTEIS E ESPECÍFICOS, COMPUTAÇÃO GRÁFICA, BENCHMARKS, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SALDANHA, Matheus Henrique Junqueira e SOUZA, Paulo Sérgio Lopes de. High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22734-0_14. Acesso em: 06 jul. 2025. , 2019
APA
Saldanha, M. H. J., & Souza, P. S. L. de. (2019). High performance algorithms for counting collisions and pairwise interactions. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22734-0_14
NLM
Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14
Vancouver
Saldanha MHJ, Souza PSL de. High performance algorithms for counting collisions and pairwise interactions [Internet]. Lecture Notes in Computer Science. 2019 ; 11536 182-196.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-22734-0_14
Trabalho de evento-anais periodico
Topological street-network characterization through feature-vector and cluster analysis (2018)
Spadon, Gabriel; Gimenes, Gabriel; Rodrigues Junior, José Fernando
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, RUAS E AVENIDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel e GIMENES, Gabriel e RODRIGUES JUNIOR, José Fernando. Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_21. Acesso em: 06 jul. 2025. , 2018
APA
Spadon, G., Gimenes, G., & Rodrigues Junior, J. F. (2018). Topological street-network characterization through feature-vector and cluster analysis. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_21
NLM
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Vancouver
Spadon G, Gimenes G, Rodrigues Junior JF. Topological street-network characterization through feature-vector and cluster analysis [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 274-287.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_21
Trabalho de evento-anais periodico
A distance-based tool-set to track inconsistent urban structures through complex-networks (2018)
Spadon, Gabriel; Machado, Bruno Brandoli; Eler, Danilo Medeiros; Rodrigues Junior, José Fernando
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: REDES COMPLEXAS, VISUALIZAÇÃO, RECONHECIMENTO DE PADRÕES, PLANEJAMENTO TERRITORIAL URBANO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-93698-7_22. Acesso em: 06 jul. 2025. , 2018
APA
Spadon, G., Machado, B. B., Eler, D. M., & Rodrigues Junior, J. F. (2018). A distance-based tool-set to track inconsistent urban structures through complex-networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-93698-7_22
NLM
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22
Vancouver
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. A distance-based tool-set to track inconsistent urban structures through complex-networks [Internet]. Lecture Notes in Computer Science. 2018 ; 10860 288-301.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22

Unidades USP

ReP

Bem vindo,

Filtros

Autores

Autores USP

Assuntos

Agência de fomento

Afiliação dos autores externos não normalizada