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Artigo de periodico
Thermodynamic characterization of networks using graph polynomials (2015)
Cheng, Ye; Comin, César H.; Peron, Thomas ; Silva, Filipi N.; Rodrigues, Francisco Aparecido ; Costa, Luciano da Fontoura; Torsello, Andrea; Hancock, Edwin R.
Source: Physical Review E. Unidades: ICMC, IFSC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE, TERMODINÂMICA, POLINÔMIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Ye et al. Thermodynamic characterization of networks using graph polynomials. Physical Review E, v. 92, n. 3, p. 032810-1-032810-16, 2015Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.92.032810. Acesso em: 26 jun. 2024.
APA
Cheng, Y., Comin, C. H., Peron, T., Silva, F. N., Rodrigues, F. A., Costa, L. da F., et al. (2015). Thermodynamic characterization of networks using graph polynomials. Physical Review E, 92( 3), 032810-1-032810-16. doi:10.1103/PhysRevE.92.032810
NLM
Cheng Y, Comin CH, Peron T, Silva FN, Rodrigues FA, Costa L da F, Torsello A, Hancock ER. Thermodynamic characterization of networks using graph polynomials [Internet]. Physical Review E. 2015 ; 92( 3): 032810-1-032810-16.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1103/PhysRevE.92.032810
Vancouver
Cheng Y, Comin CH, Peron T, Silva FN, Rodrigues FA, Costa L da F, Torsello A, Hancock ER. Thermodynamic characterization of networks using graph polynomials [Internet]. Physical Review E. 2015 ; 92( 3): 032810-1-032810-16.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1103/PhysRevE.92.032810
Artigo de periodico
Approximate von Neumann entropy for directed graphs (2014)
Cheng, Ye; Wilson, Richard C.; Comin, César H.; Costa, Luciano da Fontoura; Hancock, Edwin R.
Source: Physical Review E. Unidade: IFSC
Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Ye et al. Approximate von Neumann entropy for directed graphs. Physical Review E, v. 89, n. 5, p. 052804-1-052804-12, 2014Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.89.052804. Acesso em: 26 jun. 2024.
APA
Cheng, Y., Wilson, R. C., Comin, C. H., Costa, L. da F., & Hancock, E. R. (2014). Approximate von Neumann entropy for directed graphs. Physical Review E, 89( 5), 052804-1-052804-12. doi:10.1103/PhysRevE.89.052804
NLM
Cheng Y, Wilson RC, Comin CH, Costa L da F, Hancock ER. Approximate von Neumann entropy for directed graphs [Internet]. Physical Review E. 2014 ; 89( 5): 052804-1-052804-12.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1103/PhysRevE.89.052804
Vancouver
Cheng Y, Wilson RC, Comin CH, Costa L da F, Hancock ER. Approximate von Neumann entropy for directed graphs [Internet]. Physical Review E. 2014 ; 89( 5): 052804-1-052804-12.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1103/PhysRevE.89.052804
Artigo de periodico
Statistical physics approach to quantifying differences in myelinated nerve fibers (2014)
Comin, César H.; Santos, João R.; Corradini, Dario; Morrison, Will; Curme, Chester; Rosene, Douglas L.; Gabrielli, Andrea; Costa, Luciano da Fontoura; Stanley, H. Eugene
Source: Scientific Reports. Unidade: IFSC
Subjects: FIBRAS NERVOSAS, MECÂNICA ESTATÍSTICA
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ABNT
COMIN, César H. et al. Statistical physics approach to quantifying differences in myelinated nerve fibers. Scientific Reports, v. 4, p. 4511-1-4511-11, 2014Tradução . . Disponível em: https://doi.org/10.1038/srep04511. Acesso em: 26 jun. 2024.
APA
Comin, C. H., Santos, J. R., Corradini, D., Morrison, W., Curme, C., Rosene, D. L., et al. (2014). Statistical physics approach to quantifying differences in myelinated nerve fibers. Scientific Reports, 4, 4511-1-4511-11. doi:10.1038/srep04511
NLM
Comin CH, Santos JR, Corradini D, Morrison W, Curme C, Rosene DL, Gabrielli A, Costa L da F, Stanley HE. Statistical physics approach to quantifying differences in myelinated nerve fibers [Internet]. Scientific Reports. 2014 ; 4 4511-1-4511-11.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1038/srep04511
Vancouver
Comin CH, Santos JR, Corradini D, Morrison W, Curme C, Rosene DL, Gabrielli A, Costa L da F, Stanley HE. Statistical physics approach to quantifying differences in myelinated nerve fibers [Internet]. Scientific Reports. 2014 ; 4 4511-1-4511-11.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1038/srep04511
Trabalho de evento-anais periodico
Entropy and heterogeneity measures for directed graphs (2013)
Cheng, Ye; Wilson, Richard C.; Comin, César H.; Costa, Luciano da Fontoura; Hancock, Edwin R.
Source: Lecture Notes in Computer Science. Conference titles: International Workshop on Similarity-Based Patter Analysis and Recognition - SIMBAD. Unidade: IFSC
Subjects: PROCESSAMENTO DE IMAGENS, ENTROPIA, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Ye et al. Entropy and heterogeneity measures for directed graphs. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-642-39140-8_15. Acesso em: 26 jun. 2024. , 2013
APA
Cheng, Y., Wilson, R. C., Comin, C. H., Costa, L. da F., & Hancock, E. R. (2013). Entropy and heterogeneity measures for directed graphs. Lecture Notes in Computer Science. Heidelberg: Springer. doi:10.1007/978-3-642-39140-8_15
NLM
Cheng Y, Wilson RC, Comin CH, Costa L da F, Hancock ER. Entropy and heterogeneity measures for directed graphs [Internet]. Lecture Notes in Computer Science. 2013 ; 7953 219-234.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1007/978-3-642-39140-8_15
Vancouver
Cheng Y, Wilson RC, Comin CH, Costa L da F, Hancock ER. Entropy and heterogeneity measures for directed graphs [Internet]. Lecture Notes in Computer Science. 2013 ; 7953 219-234.[citado 2024 jun. 26 ] Available from: https://doi.org/10.1007/978-3-642-39140-8_15

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