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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)
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] 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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] 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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] Available from: https://doi.org/10.1007/978-3-031-08757-8_1
Trabalho de evento-anais periodico
Analyses of public health databases via clinical pathway modelling: TBWEB (2020)
Apunike, Anderson Chidi ; Ciabati, Lívia Maria de Oliveira ; Sanches, Tiago Lara Michelin; Oliveira, Lariza Laura de; Sanchez, Mauro Niskier ; Galliez, Rafael Mello; Alves, Domingos
Fonte: Lecture Notes in Computer Science: Computational Science – ICCS 2020. Nome do evento: International Conference on Computational Science - ICCS. Unidade: FMRP
Assuntos: SAÚDE PÚBLICA, BANCO DE DADOS, ANÁLISE DE CONGLOMERADOS
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APUNIKE, Anderson Chidi et al. Analyses of public health databases via clinical pathway modelling: TBWEB. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-50423-6_41. Acesso em: 08 nov. 2025. , 2020
APA
Apunike, A. C., Ciabati, L. M. de O., Sanches, T. L. M., Oliveira, L. L. de, Sanchez, M. N., Galliez, R. M., & Alves, D. (2020). Analyses of public health databases via clinical pathway modelling: TBWEB. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-030-50423-6_41
NLM
Apunike AC, Ciabati LM de O, Sanches TLM, Oliveira LL de, Sanchez MN, Galliez RM, Alves D. Analyses of public health databases via clinical pathway modelling: TBWEB [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 550-562.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_41
Vancouver
Apunike AC, Ciabati LM de O, Sanches TLM, Oliveira LL de, Sanchez MN, Galliez RM, Alves D. Analyses of public health databases via clinical pathway modelling: TBWEB [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 550-562.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_41
Trabalho de evento-anais periodico
Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks (2020)
Colombo Filho, Márcio Eloi; Galliez, Rafael Mello; Bernardi, Filipe Andrade ; Oliveira, Lariza Laura de; Kritski, Afrânio Lineu; Santos, Marcel Koenigkam; Alves, Domingos
Fonte: Lecture Notes in Computer Science: Computational Science – ICCS 2020. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, Interunidades em Bioengenharia
Assuntos: TUBERCULOSE, RADIOGRAFIA, TÓRAX, REDES NEURAIS
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ABNT
COLOMBO FILHO, Márcio Eloi et al. Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-50423-6_42. Acesso em: 08 nov. 2025. , 2020
APA
Colombo Filho, M. E., Galliez, R. M., Bernardi, F. A., Oliveira, L. L. de, Kritski, A. L., Santos, M. K., & Alves, D. (2020). Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-030-50423-6_42
NLM
Colombo Filho ME, Galliez RM, Bernardi FA, Oliveira LL de, Kritski AL, Santos MK, Alves D. Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 563-576.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_42
Vancouver
Colombo Filho ME, Galliez RM, Bernardi FA, Oliveira LL de, Kritski AL, Santos MK, Alves D. Preliminary results on pulmonary tuberculosis detection in chest X-ray using convolutional neural networks [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 563-576.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_42
Trabalho de evento-anais periodico
Ontology-based inference for supporting clinical decisions in mental health (2020)
Yamada, Diego Bettiol; Bernardi, Filipe Andrade ; Miyoshi, Newton Shydeo Brandão; Lima, Inácia Bezerra de ; Vinci, André Luiz Teixeira ; Yoshiura, Vinícius Tohoru ; Alves, Domingos
Fonte: Lecture Notes in Computer Science: Computational Science – ICCS 2020. Nome do evento: International Conference on Computational Science - ICCS. Unidades: FMRP, Interunidades em Bioengenharia, EERP
Assuntos: INFERÊNCIA, ONTOLOGIA, SAÚDE MENTAL, SERVIÇOS DE SAÚDE
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ABNT
YAMADA, Diego Bettiol et al. Ontology-based inference for supporting clinical decisions in mental health. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-50423-6_27. Acesso em: 08 nov. 2025. , 2020
APA
Yamada, D. B., Bernardi, F. A., Miyoshi, N. S. B., Lima, I. B. de, Vinci, A. L. T., Yoshiura, V. T., & Alves, D. (2020). Ontology-based inference for supporting clinical decisions in mental health. Lecture Notes in Computer Science: Computational Science – ICCS 2020. Cham: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/978-3-030-50423-6_27
NLM
Yamada DB, Bernardi FA, Miyoshi NSB, Lima IB de, Vinci ALT, Yoshiura VT, Alves D. Ontology-based inference for supporting clinical decisions in mental health [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 363-375.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_27
Vancouver
Yamada DB, Bernardi FA, Miyoshi NSB, Lima IB de, Vinci ALT, Yoshiura VT, Alves D. Ontology-based inference for supporting clinical decisions in mental health [Internet]. Lecture Notes in Computer Science: Computational Science – ICCS 2020. 2020 ; 12140 363-375.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-50423-6_27
Trabalho de evento-anais periodico
Improving portfolio optimization using weighted link prediction in dynamic stock networks (2019)
Castilho, Douglas; Gama, João; Mundim, Leandro Resende; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science - ICCS. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM, ALGORITMOS ÚTEIS E ESPECÍFICOS, BOLSA DE VALORES
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CASTILHO, Douglas et al. Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-22744-9_27. Acesso em: 08 nov. 2025. , 2019
APA
Castilho, D., Gama, J., Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2019). Improving portfolio optimization using weighted link prediction in dynamic stock networks. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-22744-9_27
NLM
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
Vancouver
Castilho D, Gama J, Mundim LR, Carvalho ACP de LF de. Improving portfolio optimization using weighted link prediction in dynamic stock networks [Internet]. Lecture Notes in Computer Science. 2019 ; 11538 340-353.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-22744-9_27
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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] 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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] 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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] 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
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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: 08 nov. 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 nov. 08 ] 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 nov. 08 ] Available from: https://doi.org/10.1007/978-3-319-93698-7_22

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