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Artigo de periodico
A comprehensive taxonomy of cellular automata (2025)
Rollier, Michiel ; Zielinski, Kallil Miguel Caparroz ; Daly, Aisling Jane ; Bruno, Odemir Martinez ; Baetens, Jan M.
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, AUTÔMATOS CELULARES, TEORIA DA INFORMAÇÃO E COMUNICAÇÃO
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ABNT
ROLLIER, Michiel et al. A comprehensive taxonomy of cellular automata. Communications in Nonlinear Science and Numerical Simulation, v. 140, n. Ja 2025, p. 108362-1-108362-31, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2024.108362. Acesso em: 14 nov. 2024.
APA
Rollier, M., Zielinski, K. M. C., Daly, A. J., Bruno, O. M., & Baetens, J. M. (2025). A comprehensive taxonomy of cellular automata. Communications in Nonlinear Science and Numerical Simulation, 140( Ja 2025), 108362-1-108362-31. doi:10.1016/j.cnsns.2024.108362
NLM
Rollier M, Zielinski KMC, Daly AJ, Bruno OM, Baetens JM. A comprehensive taxonomy of cellular automata [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 140( Ja 2025): 108362-1-108362-31.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108362
Vancouver
Rollier M, Zielinski KMC, Daly AJ, Bruno OM, Baetens JM. A comprehensive taxonomy of cellular automata [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2025 ; 140( Ja 2025): 108362-1-108362-31.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.cnsns.2024.108362
Artigo de periodico
Application of coincidence index in the discovery of co-expressed metabolic pathways (2024)
Santos, João Paulo Clarindo dos ; Bruno, Odemir Martinez
Source: Physical Biology. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, RNA, ENZIMAS, ESCHERICHIA COLI
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ABNT
SANTOS, João Paulo Clarindo dos e BRUNO, Odemir Martinez. Application of coincidence index in the discovery of co-expressed metabolic pathways. Physical Biology, v. 21, n. 5, p. 056001-1-056001-15 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1088/1478-3975/ad68b6. Acesso em: 14 nov. 2024.
APA
Santos, J. P. C. dos, & Bruno, O. M. (2024). Application of coincidence index in the discovery of co-expressed metabolic pathways. Physical Biology, 21( 5), 056001-1-056001-15 + supplementary data. doi:10.1088/1478-3975/ad68b6
NLM
Santos JPC dos, Bruno OM. Application of coincidence index in the discovery of co-expressed metabolic pathways [Internet]. Physical Biology. 2024 ; 21( 5): 056001-1-056001-15 + supplementary data.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1478-3975/ad68b6
Vancouver
Santos JPC dos, Bruno OM. Application of coincidence index in the discovery of co-expressed metabolic pathways [Internet]. Physical Biology. 2024 ; 21( 5): 056001-1-056001-15 + supplementary data.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1478-3975/ad68b6
Artigo de periodico
Color-texture classification based on spatio-spectral complex network representations (2024)
Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Condori, Rayner Harold Montes ; Bruno, Odemir Martinez
Source: Physica A. Unidades: IFSC, ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, TEXTURA
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ABNT
RIBAS, Lucas Correia et al. Color-texture classification based on spatio-spectral complex network representations. Physica A, v. 635, p. 129518-1-129518-15, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129518. Acesso em: 14 nov. 2024.
APA
Ribas, L. C., Scabini, L. F. dos S., Condori, R. H. M., & Bruno, O. M. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A, 635, 129518-1-129518-15. doi:10.1016/j.physa.2024.129518
NLM
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Vancouver
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Artigo de periodico
Local complex features learned by randomized neural networks for texture analysis (2024)
Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Sá Júnior, Jarbas Joaci de Mesquita; Bruno, Odemir Martinez
Source: Pattern Analysis and Applications. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA
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ABNT
RIBAS, Lucas Correia et al. Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, v. 27, p. 23-1-23-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10044-024-01230-x. Acesso em: 14 nov. 2024.
APA
Ribas, L. C., Scabini, L. F. dos S., Sá Júnior, J. J. de M., & Bruno, O. M. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, 27, 23-1-23-12. doi:10.1007/s10044-024-01230-x
NLM
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
Vancouver
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
Artigo de periodico
Improving deep neural network random initialization through neuronal rewiring (2024)
Scabini, Leonardo Felipe dos Santos ; Baets, Bernard De ; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
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ABNT
SCABINI, Leonardo Felipe dos Santos e BAETS, Bernard De e BRUNO, Odemir Martinez. Improving deep neural network random initialization through neuronal rewiring. Neurocomputing, v. 599, p. 128130-1-128130-13 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2024.128130. Acesso em: 14 nov. 2024.
APA
Scabini, L. F. dos S., Baets, B. D., & Bruno, O. M. (2024). Improving deep neural network random initialization through neuronal rewiring. Neurocomputing, 599, 128130-1-128130-13 + supplementary data. doi:10.1016/j.neucom.2024.128130
NLM
Scabini LF dos S, Baets BD, Bruno OM. Improving deep neural network random initialization through neuronal rewiring [Internet]. Neurocomputing. 2024 ; 599 128130-1-128130-13 + supplementary data.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2024.128130
Vancouver
Scabini LF dos S, Baets BD, Bruno OM. Improving deep neural network random initialization through neuronal rewiring [Internet]. Neurocomputing. 2024 ; 599 128130-1-128130-13 + supplementary data.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.neucom.2024.128130
Artigo de periodico
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning (2024)
Borzooei, Sina ; Scabini, Leonardo ; Miranda, Gisele Helena Barboni ; Daneshgar, Saba ; Deblieck, Lukas; Bruno, Odemir Martinez ; Langhe, Piet De; Baets, Bernard De ; Nopens, Ingmar; Torfs, Elena
Source: Journal of Water Process Engineering. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, REDES NEURAIS, TRATAMENTO DE ÁGUA
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ABNT
BORZOOEI, Sina et al. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, v. 64, p. 105692-1-105692-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jwpe.2024.105692. Acesso em: 14 nov. 2024.
APA
Borzooei, S., Scabini, L., Miranda, G. H. B., Daneshgar, S., Deblieck, L., Bruno, O. M., et al. (2024). Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, 64, 105692-1-105692-13. doi:10.1016/j.jwpe.2024.105692
NLM
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Vancouver
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Artigo de periodico
Estimating the effects of urban green regions in terms of diffusion (2023)
Tokuda, Eric Keiji ; Arruda, Henrique Ferraz de ; Domingues, Guilherme Schimidt ; Costa, Luciano da Fontoura ; Shibata, Florence Alyssa Sakuma ; Cesar Junior, Roberto Marcondes ; Comin, Cesar Henrique
Source: Environment and Planning B: urban analytics and city science. Unidades: IME, IFSC
Subjects: ESPAÇOS VERDES, PROCESSOS DE DIFUSÃO, TEORIA DOS GRAFOS
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ABNT
TOKUDA, Eric Keiji et al. Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, v. 50, n. 4, p. 1023-1038, 2023Tradução . . Disponível em: https://doi.org/10.1177/23998083221131572. Acesso em: 14 nov. 2024.
APA
Tokuda, E. K., Arruda, H. F. de, Domingues, G. S., Costa, L. da F., Shibata, F. A. S., Cesar Junior, R. M., & Comin, C. H. (2023). Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, 50( 4), 1023-1038. doi:10.1177/23998083221131572
NLM
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1177/23998083221131572
Vancouver
Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1177/23998083221131572
Artigo de periodico
Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors (2023)
Castro, Lucas Daniel Chiba de ; Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Bruno, Odemir Martinez ; Oliveira Junior, Osvaldo Novais de
Source: Expert Systems with Applications. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
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ABNT
CASTRO, Lucas Daniel Chiba de et al. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, v. 212, p. 118792-1-118792-7, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.118792. Acesso em: 14 nov. 2024.
APA
Castro, L. D. C. de, Scabini, L. F. dos S., Ribas, L. C., Bruno, O. M., & Oliveira Junior, O. N. de. (2023). Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors. Expert Systems with Applications, 212, 118792-1-118792-7. doi:10.1016/j.eswa.2022.118792
NLM
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
Vancouver
Castro LDC de, Scabini LF dos S, Ribas LC, Bruno OM, Oliveira Junior ON de. Machine learning and image processing to monitor strain and tensile forces with mechanochromic sensors [Internet]. Expert Systems with Applications. 2023 ; 212 118792-1-118792-7.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.eswa.2022.118792
Artigo de periodico
Revisiting agglomerative clustering (2022)
Tokuda, Eric Keiji ; Comin, Cesar Henrique ; Costa, Luciano da Fontoura
Source: Physica A. Unidade: IFSC
Subjects: REDES COMPLEXAS, CLUSTERS, MODELAGEM DE DADOS
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ABNT
TOKUDA, Eric Keiji e COMIN, Cesar Henrique e COSTA, Luciano da Fontoura. Revisiting agglomerative clustering. Physica A, v. 585, n. Ja 2022, p. 126433-1-126433-17, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.126433. Acesso em: 14 nov. 2024.
APA
Tokuda, E. K., Comin, C. H., & Costa, L. da F. (2022). Revisiting agglomerative clustering. Physica A, 585( Ja 2022), 126433-1-126433-17. doi:10.1016/j.physa.2021.126433
NLM
Tokuda EK, Comin CH, Costa L da F. Revisiting agglomerative clustering [Internet]. Physica A. 2022 ; 585( Ja 2022): 126433-1-126433-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.126433
Vancouver
Tokuda EK, Comin CH, Costa L da F. Revisiting agglomerative clustering [Internet]. Physica A. 2022 ; 585( Ja 2022): 126433-1-126433-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.126433
Artigo de periodico
Finding contrasting patterns in rhythmic properties between prose and poetry (2022)
Arruda, Henrique Ferraz de ; Reia, Sandro Martinelli ; Silva, Filipi Nascimento ; Amancio, Diego Raphael ; Costa, Luciano da Fontoura
Source: Physica A. Unidades: ICMC, IFSC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, RECONHECIMENTO DE TEXTO, TRATAMENTO AUTOMÁTICO DE TEXTOS E DISCURSOS
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ARRUDA, Henrique Ferraz de et al. Finding contrasting patterns in rhythmic properties between prose and poetry. Physica A, v. 598, p. 127387-1-127387-13, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2022.127387. Acesso em: 14 nov. 2024.
APA
Arruda, H. F. de, Reia, S. M., Silva, F. N., Amancio, D. R., & Costa, L. da F. (2022). Finding contrasting patterns in rhythmic properties between prose and poetry. Physica A, 598, 127387-1-127387-13. doi:10.1016/j.physa.2022.127387
NLM
Arruda HF de, Reia SM, Silva FN, Amancio DR, Costa L da F. Finding contrasting patterns in rhythmic properties between prose and poetry [Internet]. Physica A. 2022 ; 598 127387-1-127387-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2022.127387
Vancouver
Arruda HF de, Reia SM, Silva FN, Amancio DR, Costa L da F. Finding contrasting patterns in rhythmic properties between prose and poetry [Internet]. Physica A. 2022 ; 598 127387-1-127387-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2022.127387
Artigo de periodico
Modelling how social network algorithms can influence opinion polarization (2022)
Arruda, Henrique Ferraz de ; Cardoso, Felipe Maciel; Arruda, Guilherme Ferraz de; Hernández, Alexis R.; Costa, Luciano da Fontoura ; Moreno, Yamir
Source: Information Sciences. Unidade: IFSC
Subjects: REDES COMPLEXAS, GEOMETRIA E MODELAGEM COMPUTACIONAL
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ABNT
ARRUDA, Henrique Ferraz de et al. Modelling how social network algorithms can influence opinion polarization. Information Sciences, v. 588, p. 265-278 , 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.12.069. Acesso em: 14 nov. 2024.
APA
Arruda, H. F. de, Cardoso, F. M., Arruda, G. F. de, Hernández, A. R., Costa, L. da F., & Moreno, Y. (2022). Modelling how social network algorithms can influence opinion polarization. Information Sciences, 588, 265-278 . doi:10.1016/j.ins.2021.12.069
NLM
Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
Vancouver
Arruda HF de, Cardoso FM, Arruda GF de, Hernández AR, Costa L da F, Moreno Y. Modelling how social network algorithms can influence opinion polarization [Internet]. Information Sciences. 2022 ; 588 265-278 .[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2021.12.069
Artigo de periodico
On hypercomplex networks (2022)
Cunha, Éverton Fernandes da; Costa, Luciano da Fontoura
Source: Physica A. Unidade: IFSC
Subjects: REDES COMPLEXAS, INTELIGÊNCIA ARTIFICIAL, MODELAGEM DE DADOS
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ABNT
CUNHA, Éverton Fernandes da e COSTA, Luciano da Fontoura. On hypercomplex networks. Physica A, v. 591, p. 126714-1-126714-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.126714. Acesso em: 14 nov. 2024.
APA
Cunha, É. F. da, & Costa, L. da F. (2022). On hypercomplex networks. Physica A, 591, 126714-1-126714-9. doi:10.1016/j.physa.2021.126714
NLM
Cunha ÉF da, Costa L da F. On hypercomplex networks [Internet]. Physica A. 2022 ; 591 126714-1-126714-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.126714
Vancouver
Cunha ÉF da, Costa L da F. On hypercomplex networks [Internet]. Physica A. 2022 ; 591 126714-1-126714-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.126714
Artigo de periodico
Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3 (2021)
Rodrigues, Valquiria Cruz; Soares, Juliana Coatrini ; Soares, Andrey Coatrini ; Braz, Daniel César; Melendez, Matias Eliseo; Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Bruno, Odemir Martinez ; Carvalho, Andre Lopes; Reis, Rui Manuel; Sanfelice, Rafaela Cristina; Oliveira Junior, Osvaldo Novais de
Source: Talanta. Unidades: IFSC, ICMC
Subjects: CELULOSE, SENSORES BIOMÉDICOS, BIOMARCADORES, NEOPLASIAS PROSTÁTICAS
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ABNT
RODRIGUES, Valquiria Cruz et al. Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3. Talanta, v. 222, n. Ja 2021, p. 121444-1-121444-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.talanta.2020.121444. Acesso em: 14 nov. 2024.
APA
Rodrigues, V. C., Soares, J. C., Soares, A. C., Braz, D. C., Melendez, M. E., Ribas, L. C., et al. (2021). Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3. Talanta, 222( Ja 2021), 121444-1-121444-10. doi:10.1016/j.talanta.2020.121444
NLM
Rodrigues VC, Soares JC, Soares AC, Braz DC, Melendez ME, Ribas LC, Scabini LF dos S, Bruno OM, Carvalho AL, Reis RM, Sanfelice RC, Oliveira Junior ON de. Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3 [Internet]. Talanta. 2021 ; 222( Ja 2021): 121444-1-121444-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.talanta.2020.121444
Vancouver
Rodrigues VC, Soares JC, Soares AC, Braz DC, Melendez ME, Ribas LC, Scabini LF dos S, Bruno OM, Carvalho AL, Reis RM, Sanfelice RC, Oliveira Junior ON de. Electrochemical and optical detection and machine learning applied to images of genosensors for diagnosis of prostate cancer with the biomarker PCA3 [Internet]. Talanta. 2021 ; 222( Ja 2021): 121444-1-121444-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.talanta.2020.121444
Artigo de periodico
Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil (2021)
Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Neiva, Mariane Barros ; Bispo Junior, Altamir Gomes; Farfan, Alex Josue Florez; Bruno, Odemir Martinez
Source: Physica A. Unidades: IFSC, ICMC
Subjects: SURTOS DE DOENÇAS, CORONAVIRUS, AUTÔMATOS CELULARES, MODELOS EPIDEMIOLOGICOS, RECONHECIMENTO DE PADRÕES, CLASSIFICAÇÃO
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ABNT
SCABINI, Leonardo Felipe dos Santos et al. Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil. Physica A, v. 564, p. 125498-1-125498-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2020.125498. Acesso em: 14 nov. 2024.
APA
Scabini, L. F. dos S., Ribas, L. C., Neiva, M. B., Bispo Junior, A. G., Farfan, A. J. F., & Bruno, O. M. (2021). Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil. Physica A, 564, 125498-1-125498-14. doi:10.1016/j.physa.2020.125498
NLM
Scabini LF dos S, Ribas LC, Neiva MB, Bispo Junior AG, Farfan AJF, Bruno OM. Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil [Internet]. Physica A. 2021 ; 564 125498-1-125498-14.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2020.125498
Vancouver
Scabini LF dos S, Ribas LC, Neiva MB, Bispo Junior AG, Farfan AJF, Bruno OM. Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil [Internet]. Physica A. 2021 ; 564 125498-1-125498-14.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2020.125498
Artigo de periodico
Enriching and analyzing small citation networks: a case study on transistor's history (2021)
Benatti, Alexandre; Arruda, Henrique Ferraz de ; Silva, Filipi Nascimento ; Costa, Luciano da Fontoura
Source: Physica A. Unidade: IFSC
Subjects: REDES COMPLEXAS, MECÂNICA ESTATÍSTICA, INTELIGÊNCIA ARTIFICIAL, INTERNET
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ABNT
BENATTI, Alexandre et al. Enriching and analyzing small citation networks: a case study on transistor's history. Physica A, v. 573, p. 125901-1-125901-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2021.125901. Acesso em: 14 nov. 2024.
APA
Benatti, A., Arruda, H. F. de, Silva, F. N., & Costa, L. da F. (2021). Enriching and analyzing small citation networks: a case study on transistor's history. Physica A, 573, 125901-1-125901-13. doi:10.1016/j.physa.2021.125901
NLM
Benatti A, Arruda HF de, Silva FN, Costa L da F. Enriching and analyzing small citation networks: a case study on transistor's history [Internet]. Physica A. 2021 ; 573 125901-1-125901-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.125901
Vancouver
Benatti A, Arruda HF de, Silva FN, Costa L da F. Enriching and analyzing small citation networks: a case study on transistor's history [Internet]. Physica A. 2021 ; 573 125901-1-125901-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.physa.2021.125901
Artigo de periodico
Spacing ratio characterization of the spectra of directed random networks (2020)
Peron, Thomas ; Resende, Bruno Messias Farias de ; Rodrigues, Francisco Aparecido ; Costa, Luciano da Fontoura ; Méndez-Bermúdez, J. A.
Source: Physical Review E. Unidades: ICMC, IFSC
Subjects: MATRIZES, MATEMÁTICA APLICADA, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERON, Thomas et al. Spacing ratio characterization of the spectra of directed random networks. Physical Review E, v. 102, n. 6, p. 062305-1-062305-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.102.062305. Acesso em: 14 nov. 2024.
APA
Peron, T., Resende, B. M. F. de, Rodrigues, F. A., Costa, L. da F., & Méndez-Bermúdez, J. A. (2020). Spacing ratio characterization of the spectra of directed random networks. Physical Review E, 102( 6), 062305-1-062305-9. doi:10.1103/PhysRevE.102.062305
NLM
Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
Vancouver
Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
Artigo de periodico
Opinion diversity and social bubbles in adaptive Sznajd networks (2020)
Benatti, Alexandre; Arruda, Henrique Ferraz de; Silva, Filipi Nascimento; Comin, Cesar Henrique; Costa, Luciano da Fontoura
Source: Journal of Statistical Mechanics. Unidade: IFSC
Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BENATTI, Alexandre et al. Opinion diversity and social bubbles in adaptive Sznajd networks. Journal of Statistical Mechanics, v. 2020, n. 2, p. 023407-1-023407-16, 2020Tradução . . Disponível em: https://doi.org/10.1088/1742-5468/ab6de3. Acesso em: 14 nov. 2024.
APA
Benatti, A., Arruda, H. F. de, Silva, F. N., Comin, C. H., & Costa, L. da F. (2020). Opinion diversity and social bubbles in adaptive Sznajd networks. Journal of Statistical Mechanics, 2020( 2), 023407-1-023407-16. doi:10.1088/1742-5468/ab6de3
NLM
Benatti A, Arruda HF de, Silva FN, Comin CH, Costa L da F. Opinion diversity and social bubbles in adaptive Sznajd networks [Internet]. Journal of Statistical Mechanics. 2020 ; 2020( 2): 023407-1-023407-16.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1742-5468/ab6de3
Vancouver
Benatti A, Arruda HF de, Silva FN, Comin CH, Costa L da F. Opinion diversity and social bubbles in adaptive Sznajd networks [Internet]. Journal of Statistical Mechanics. 2020 ; 2020( 2): 023407-1-023407-16.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1742-5468/ab6de3
Artigo de periodico
Life-like network automata descriptor based on binary patterns for network classification (2020)
Ribas, Lucas Correia ; Machicao, Jeaneth; Bruno, Odemir Martinez
Source: Information Sciences. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e MACHICAO, Jeaneth e BRUNO, Odemir Martinez. Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, v. 55, p. 156-168, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2019.09.063. Acesso em: 14 nov. 2024.
APA
Ribas, L. C., Machicao, J., & Bruno, O. M. (2020). Life-like network automata descriptor based on binary patterns for network classification. Information Sciences, 55, 156-168. doi:10.1016/j.ins.2019.09.063
NLM
Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2019.09.063
Vancouver
Ribas LC, Machicao J, Bruno OM. Life-like network automata descriptor based on binary patterns for network classification [Internet]. Information Sciences. 2020 ; 55 156-168.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.ins.2019.09.063
Artigo de periodico
Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian (2020)
Resende, Bruno Messias Farias de ; Costa, Luciano da Fontoura
Source: Chaos. Unidade: IFSC
Subjects: REDES COMPLEXAS, TRANSFORMADA DE LAPLACE, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RESENDE, Bruno Messias Farias de e COSTA, Luciano da Fontoura. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian. Chaos, v. 30, n. 7, p. 073141-1-073141-8, 2020Tradução . . Disponível em: https://doi.org/10.1063/5.0006891. Acesso em: 14 nov. 2024.
APA
Resende, B. M. F. de, & Costa, L. da F. (2020). Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian. Chaos, 30( 7), 073141-1-073141-8. doi:10.1063/5.0006891
NLM
Resende BMF de, Costa L da F. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian [Internet]. Chaos. 2020 ; 30( 7): 073141-1-073141-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1063/5.0006891
Vancouver
Resende BMF de, Costa L da F. Characterization and comparison of large directed networks through the spectra of the magnetic Laplacian [Internet]. Chaos. 2020 ; 30( 7): 073141-1-073141-8.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1063/5.0006891
Artigo de periodico
Randomized neural network based signature for color texture classification prism dimension (2019)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André Ricardo; Bruno, Odemir Martinez
Source: Multidimensional Systems and Signal Processing. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, FRACTAIS, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André Ricardo e BRUNO, Odemir Martinez. Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, v. 30, n. 3, p. 1171-1186, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11045-018-0600-6. Acesso em: 14 nov. 2024.
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2019). Randomized neural network based signature for color texture classification prism dimension. Multidimensional Systems and Signal Processing, 30( 3), 1171-1186. doi:10.1007/s11045-018-0600-6
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11045-018-0600-6
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for color texture classification prism dimension [Internet]. Multidimensional Systems and Signal Processing. 2019 ; 30( 3): 1171-1186.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11045-018-0600-6

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