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  • Source: American Journal of Orthodontics and Dentofacial Orthopedics. Unidade: ESALQ

    Subjects: ANÁLISE DE DADOS LONGITUDINAIS, CRIANÇAS, INFERÊNCIA BAYESIANA, OCLUSÃO DENTÁRIA, ODONTOPEDIATRIA, PROBABILIDADE

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      SANTOS, Patrícia Rafaela dos et al. A longitudinal study of the probability of developing malocclusion in children using a Bayesian analysis. American Journal of Orthodontics and Dentofacial Orthopedics, v. 166, n. 3, p. 244-251, 2024Tradução . . Disponível em: https://www.ajodo.org/action/showPdf?pii=S0889-5406%2824%2900202-6. Acesso em: 05 nov. 2024.
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      Santos, P. R. dos, Ambrosano, G. B., Ambrosano, G. B., Castro Meneghim, M. de, & Vedovello, S. A. S. (2024). A longitudinal study of the probability of developing malocclusion in children using a Bayesian analysis. American Journal of Orthodontics and Dentofacial Orthopedics, 166( 3), 244-251. doi:10.1016/j.ajodo.2024.05.011
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      Santos PR dos, Ambrosano GB, Ambrosano GB, Castro Meneghim M de, Vedovello SAS. A longitudinal study of the probability of developing malocclusion in children using a Bayesian analysis [Internet]. American Journal of Orthodontics and Dentofacial Orthopedics. 2024 ; 166( 3): 244-251.[citado 2024 nov. 05 ] Available from: https://www.ajodo.org/action/showPdf?pii=S0889-5406%2824%2900202-6
    • Vancouver

      Santos PR dos, Ambrosano GB, Ambrosano GB, Castro Meneghim M de, Vedovello SAS. A longitudinal study of the probability of developing malocclusion in children using a Bayesian analysis [Internet]. American Journal of Orthodontics and Dentofacial Orthopedics. 2024 ; 166( 3): 244-251.[citado 2024 nov. 05 ] Available from: https://www.ajodo.org/action/showPdf?pii=S0889-5406%2824%2900202-6
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

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      CARVALHO, Gustavo Oshiro de e MACHADO, Fábio Prates. The coverage ratio of the frog model on complete graphs. Journal of Statistical Physics, v. 190, n. artigo 147, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1007/s10955-023-03156-w. Acesso em: 05 nov. 2024.
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      Carvalho, G. O. de, & Machado, F. P. (2023). The coverage ratio of the frog model on complete graphs. Journal of Statistical Physics, 190( artigo 147), 1-11. doi:10.1007/s10955-023-03156-w
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      Carvalho GO de, Machado FP. The coverage ratio of the frog model on complete graphs [Internet]. Journal of Statistical Physics. 2023 ; 190( artigo 147): 1-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10955-023-03156-w
    • Vancouver

      Carvalho GO de, Machado FP. The coverage ratio of the frog model on complete graphs [Internet]. Journal of Statistical Physics. 2023 ; 190( artigo 147): 1-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10955-023-03156-w
  • Source: Stochastic Processes and their Applications. Unidade: IME

    Subjects: PROBABILIDADE, PROCESSOS ESTOCÁSTICOS, TEORIA DA RENOVAÇÃO, PERCOLAÇÃO

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      FONTES, Luiz Renato Gonçalves et al. Renewal contact processes: phase transition and survival. Stochastic Processes and their Applications, v. 161, p. 102-136-, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.spa.2023.03.005. Acesso em: 05 nov. 2024.
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      Fontes, L. R. G., Mountford, T. S., Ungaretti, D., & Vares, M. E. (2023). Renewal contact processes: phase transition and survival. Stochastic Processes and their Applications, 161, 102-136-. doi:10.1016/j.spa.2023.03.005
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      Fontes LRG, Mountford TS, Ungaretti D, Vares ME. Renewal contact processes: phase transition and survival [Internet]. Stochastic Processes and their Applications. 2023 ; 161 102-136-.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spa.2023.03.005
    • Vancouver

      Fontes LRG, Mountford TS, Ungaretti D, Vares ME. Renewal contact processes: phase transition and survival [Internet]. Stochastic Processes and their Applications. 2023 ; 161 102-136-.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spa.2023.03.005
  • Source: Astronomy and Computing. Unidades: IAG, IF

    Subjects: ASTROFÍSICA, COSMOLOGIA, FOTÔMETROS, GALÁXIAS, SOFTWARES, ANÁLISE DE DADOS, PROBABILIDADE

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      LIMA, Erik Rodrigues de et al. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?. Astronomy and Computing, v. 38, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ascom.2021.100510. Acesso em: 05 nov. 2024.
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      Lima, E. R. de, Sodre Junior, L., Nakazono, L., Buzzo, M. L., Silva, C. Q. de A., & Herpich, F. R. (2022). Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? Astronomy and Computing, 38. doi:10.1016/j.ascom.2021.100510
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      Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
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      Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
  • Source: Electric Power Systems Research. Unidade: EESC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, ALGORITMOS, PROBABILIDADE

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      FANUCCHI, Rodrigo Zempulski et al. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders. Electric Power Systems Research, v. 196, 2021Tradução . . Disponível em: http://dx.doi.org/10.1016/j.yebeh.2021.108166. Acesso em: 05 nov. 2024.
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      Fanucchi, R. Z., Bessani, M., Camillo, M. H. M., Desuó Neto, L., Soares, A. da S., Lima, T. W. de, et al. (2021). A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders. Electric Power Systems Research, 196. doi:10.1016/j.epsr.2021.107198
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      Fanucchi RZ, Bessani M, Camillo MHM, Desuó Neto L, Soares A da S, Lima TW de, London Junior JBA, Dantas LB, Maciel CD. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders [Internet]. Electric Power Systems Research. 2021 ; 196[citado 2024 nov. 05 ] Available from: http://dx.doi.org/10.1016/j.yebeh.2021.108166
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      Fanucchi RZ, Bessani M, Camillo MHM, Desuó Neto L, Soares A da S, Lima TW de, London Junior JBA, Dantas LB, Maciel CD. A multi-objective algorithm to determine patrol sequences for out-of-service nodes in power distribution feeders [Internet]. Electric Power Systems Research. 2021 ; 196[citado 2024 nov. 05 ] Available from: http://dx.doi.org/10.1016/j.yebeh.2021.108166
  • Source: IEEE Transactions on Power Delivery. Unidade: EESC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, GERAÇÃO DE ENERGIA ELÉTRICA, ILHAMENTO, PROBABILIDADE

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      FARIA, Wandry Rodrigues et al. Protection system planning for distribution networks: a probabilistic approach. IEEE Transactions on Power Delivery, v. 189, 2020Tradução . . Disponível em: http://dx.doi.org/10.1016/j.epsr.2020.106612. Acesso em: 05 nov. 2024.
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      Faria, W. R., Martins, D. de B., Nametala, C. A. L., & Pereira Junior, B. R. (2020). Protection system planning for distribution networks: a probabilistic approach. IEEE Transactions on Power Delivery, 189. doi:10.1016/j.epsr.2020.106612
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      Faria WR, Martins D de B, Nametala CAL, Pereira Junior BR. Protection system planning for distribution networks: a probabilistic approach [Internet]. IEEE Transactions on Power Delivery. 2020 ; 189[citado 2024 nov. 05 ] Available from: http://dx.doi.org/10.1016/j.epsr.2020.106612
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      Faria WR, Martins D de B, Nametala CAL, Pereira Junior BR. Protection system planning for distribution networks: a probabilistic approach [Internet]. IEEE Transactions on Power Delivery. 2020 ; 189[citado 2024 nov. 05 ] Available from: http://dx.doi.org/10.1016/j.epsr.2020.106612
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: INFERÊNCIA BAYESIANA, PROBABILIDADE, ANÁLISE ESTATÍSTICA DE DADOS

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      OLIVEIRA, Ricardo Puziol de e ACHCAR, Jorge Alberto. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family. Model Assisted Statistics and Applications, v. 15, n. 1, p. 19-34, 2020Tradução . . Disponível em: https://doi.org/10.3233/MAS-190476. Acesso em: 05 nov. 2024.
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      Oliveira, R. P. de, & Achcar, J. A. (2020). A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family. Model Assisted Statistics and Applications, 15( 1), 19-34. doi:10.3233/MAS-190476
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      Oliveira RP de, Achcar JA. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 1): 19-34.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-190476
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      Oliveira RP de, Achcar JA. A new flexible bivariate discrete Rayleigh distribution generated by the Marshall-Olkin family [Internet]. Model Assisted Statistics and Applications. 2020 ; 15( 1): 19-34.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-190476
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: MÉTODOS MCMC, PROBABILIDADE, PROGNÓSTICO

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      ICUMA, Tatiana Reis et al. Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, v. 13, n. 2, p. 141-159, 2018Tradução . . Disponível em: https://doi.org/10.3233/MAS-180426. Acesso em: 05 nov. 2024.
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      Icuma, T. R., Achcar, J. A., Martinez, E. Z., & Davarzani, N. (2018). Determination of optimum medical cut points for continuous covariates in lifetime regression models. Model Assisted Statistics and Applications, 13( 2), 141-159. doi:10.3233/MAS-180426
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      Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-180426
    • Vancouver

      Icuma TR, Achcar JA, Martinez EZ, Davarzani N. Determination of optimum medical cut points for continuous covariates in lifetime regression models [Internet]. Model Assisted Statistics and Applications. 2018 ; 13( 2): 141-159.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-180426
  • Source: Physica A. Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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      COLETTI, Cristian F e RODRIGUEZ, Pablo Martin. On the existence of accessibility in a tree-indexed percolation model. Physica A, v. Fe 2018, p. 382-388, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2017.10.019. Acesso em: 05 nov. 2024.
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      Coletti, C. F., & Rodriguez, P. M. (2018). On the existence of accessibility in a tree-indexed percolation model. Physica A, Fe 2018, 382-388. doi:10.1016/j.physa.2017.10.019
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      Coletti CF, Rodriguez PM. On the existence of accessibility in a tree-indexed percolation model [Internet]. Physica A. 2018 ; Fe 2018 382-388.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physa.2017.10.019
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      Coletti CF, Rodriguez PM. On the existence of accessibility in a tree-indexed percolation model [Internet]. Physica A. 2018 ; Fe 2018 382-388.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physa.2017.10.019
  • Source: Signal Processing. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA, INFERÊNCIA BAYESIANA, PROBABILIDADE, OTIMIZAÇÃO, OTIMIZAÇÃO COMBINATÓRIA

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      MARTINO, L. e ELVIRA, Víctor e LOUZADA, Francisco. Effective sample size for importance sampling based on discrepancy measures. Signal Processing, v. Fe 2017, p. 386-401, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.sigpro.2016.08.025. Acesso em: 05 nov. 2024.
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      Martino, L., Elvira, V., & Louzada, F. (2017). Effective sample size for importance sampling based on discrepancy measures. Signal Processing, Fe 2017, 386-401. doi:10.1016/j.sigpro.2016.08.025
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      Martino L, Elvira V, Louzada F. Effective sample size for importance sampling based on discrepancy measures [Internet]. Signal Processing. 2017 ; Fe 2017 386-401.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.sigpro.2016.08.025
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      Martino L, Elvira V, Louzada F. Effective sample size for importance sampling based on discrepancy measures [Internet]. Signal Processing. 2017 ; Fe 2017 386-401.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.sigpro.2016.08.025
  • Source: Statistics and Probability Letters. Unidade: IME

    Subjects: CADEIAS DE MARKOV, PROCESSOS DE MARKOV, PROBABILIDADE, PROCESSOS ESTOCÁSTICOS

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      PECHERSKY, Eugene e VIA, Guillem e YAMBARTSEV, Anatoli. Stochastic ising model with plastic interactions. Statistics and Probability Letters, v. 123, p. 100-106, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.11.028. Acesso em: 05 nov. 2024.
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      Pechersky, E., Via, G., & Yambartsev, A. (2017). Stochastic ising model with plastic interactions. Statistics and Probability Letters, 123, 100-106. doi:10.1016/j.spl.2016.11.028
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      Pechersky E, Via G, Yambartsev A. Stochastic ising model with plastic interactions [Internet]. Statistics and Probability Letters. 2017 ; 123 100-106.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spl.2016.11.028
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      Pechersky E, Via G, Yambartsev A. Stochastic ising model with plastic interactions [Internet]. Statistics and Probability Letters. 2017 ; 123 100-106.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spl.2016.11.028
  • Source: Journal of Statistical Theory and Applications (JSTA). Unidade: ICMC

    Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, ANÁLISE DE SOBREVIVÊNCIA, INFERÊNCIA ESTATÍSTICA

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      GUSMÃO, Felipe R. S. de e TOMAZELLA, Vera L. D. e EHLERS, Ricardo Sandes. Bayesian estimation of the Kumaraswamy inverse Weibull distribution. Journal of Statistical Theory and Applications (JSTA), v. 16, n. Ju 2017, p. 248-260, 2017Tradução . . Disponível em: https://doi.org/10.2991/jsta.2017.16.2.9. Acesso em: 05 nov. 2024.
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      Gusmão, F. R. S. de, Tomazella, V. L. D., & Ehlers, R. S. (2017). Bayesian estimation of the Kumaraswamy inverse Weibull distribution. Journal of Statistical Theory and Applications (JSTA), 16( Ju 2017), 248-260. doi:10.2991/jsta.2017.16.2.9
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      Gusmão FRS de, Tomazella VLD, Ehlers RS. Bayesian estimation of the Kumaraswamy inverse Weibull distribution [Internet]. Journal of Statistical Theory and Applications (JSTA). 2017 ; 16( Ju 2017): 248-260.[citado 2024 nov. 05 ] Available from: https://doi.org/10.2991/jsta.2017.16.2.9
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      Gusmão FRS de, Tomazella VLD, Ehlers RS. Bayesian estimation of the Kumaraswamy inverse Weibull distribution [Internet]. Journal of Statistical Theory and Applications (JSTA). 2017 ; 16( Ju 2017): 248-260.[citado 2024 nov. 05 ] Available from: https://doi.org/10.2991/jsta.2017.16.2.9
  • Source: Statistics and Probability Letters. Unidade: ICMC

    Subjects: INFERÊNCIA PARAMÉTRICA, PROBABILIDADE, INFERÊNCIA BAYESIANA

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      RODRIGUES, Josemar et al. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, v. 119, p. 281-288, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.spl.2016.08.020. Acesso em: 05 nov. 2024.
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      Rodrigues, J., Bazán Guzmán, J. L., Suzuki, A. K., & Balakrishnan, N. (2016). The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data. Statistics and Probability Letters, 119, 281-288. doi:10.1016/j.spl.2016.08.020
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      Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
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      Rodrigues J, Bazán Guzmán JL, Suzuki AK, Balakrishnan N. The Bayesian restricted Conway–Maxwell-Binomial model to control dispersion in count data [Internet]. Statistics and Probability Letters. 2016 ; 119 281-288.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.spl.2016.08.020
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      RODRIGUES, Francisco Aparecido et al. The Kuramoto model in complex networks. Physics Reports, v. 610, n. Ja 2016, p. 1-98, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2015.10.008. Acesso em: 05 nov. 2024.
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      Rodrigues, F. A., Peron, T., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610( Ja 2016), 1-98. doi:10.1016/j.physrep.2015.10.008
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      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
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      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
  • Source: Procedia Structural Integrity. Conference titles: European Conference on Fracture - ECF. Unidade: EP

    Subjects: MECÂNICA DA FRATURA, TENSÃO DOS MATERIAIS, RESISTÊNCIA DOS MATERIAIS, PROBABILIDADE

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      RUGGIERI, Claudio e DODDS, R. H. A Modified weibull stress approach to predict specimen geometry effects in a pressure vessel steel. Procedia Structural Integrity. Amsterdam: Elsevier BV. Disponível em: https://ac.els-cdn.com/S2452321616302104/1-s2.0-S2452321616302104-main.pdf?_tid=7c7dc477-8965-451f-8fc6-bcd381102e0d&acdnat=1535547791_6b7977c20d01f88e1dbc06c510037cc7. Acesso em: 05 nov. 2024. , 2016
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      Ruggieri, C., & Dodds, R. H. (2016). A Modified weibull stress approach to predict specimen geometry effects in a pressure vessel steel. Procedia Structural Integrity. Amsterdam: Elsevier BV. doi:10.1016/j.prostr.2016.06.200
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      Ruggieri C, Dodds RH. A Modified weibull stress approach to predict specimen geometry effects in a pressure vessel steel [Internet]. Procedia Structural Integrity. 2016 ; 2 1577-1584.[citado 2024 nov. 05 ] Available from: https://ac.els-cdn.com/S2452321616302104/1-s2.0-S2452321616302104-main.pdf?_tid=7c7dc477-8965-451f-8fc6-bcd381102e0d&acdnat=1535547791_6b7977c20d01f88e1dbc06c510037cc7
    • Vancouver

      Ruggieri C, Dodds RH. A Modified weibull stress approach to predict specimen geometry effects in a pressure vessel steel [Internet]. Procedia Structural Integrity. 2016 ; 2 1577-1584.[citado 2024 nov. 05 ] Available from: https://ac.els-cdn.com/S2452321616302104/1-s2.0-S2452321616302104-main.pdf?_tid=7c7dc477-8965-451f-8fc6-bcd381102e0d&acdnat=1535547791_6b7977c20d01f88e1dbc06c510037cc7
  • Source: Model Assisted Statistics and Applications. Unidade: FMRP

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, TEMPOS ESTATÍSTICOS, PROBABILIDADE

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      ACHCAR, Jorge Alberto e MARTINEZ, Edson Zangiacomi e CUEVAS, Jos Rafael Tovar. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates. Model Assisted Statistics and Applications, v. 11, p. 261-276, 2016Tradução . . Disponível em: https://doi.org/10.3233/MAS-160372. Acesso em: 05 nov. 2024.
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      Achcar, J. A., Martinez, E. Z., & Cuevas, J. R. T. (2016). Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates. Model Assisted Statistics and Applications, 11, 261-276. doi:10.3233/MAS-160372
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      Achcar JA, Martinez EZ, Cuevas JRT. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates [Internet]. Model Assisted Statistics and Applications. 2016 ; 11 261-276.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-160372
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      Achcar JA, Martinez EZ, Cuevas JRT. Bivariate lifetime modelling using copula functions in presence of mixture and non-mixture cure fraction models, censored data and covariates [Internet]. Model Assisted Statistics and Applications. 2016 ; 11 261-276.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3233/MAS-160372
  • Source: Expert Systems with Applications. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      CORRÊA, Débora C e RODRIGUES, Francisco Aparecido. A survey on symbolic data-based music genre classification. Expert Systems with Applications, v. 60, p. 190-210, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.04.008. Acesso em: 05 nov. 2024.
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      Corrêa, D. C., & Rodrigues, F. A. (2016). A survey on symbolic data-based music genre classification. Expert Systems with Applications, 60, 190-210. doi:10.1016/j.eswa.2016.04.008
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      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
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      Corrêa DC, Rodrigues FA. A survey on symbolic data-based music genre classification [Internet]. Expert Systems with Applications. 2016 ; 60 190-210.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.eswa.2016.04.008
  • Source: Applied Intelligence. Unidades: EACH, IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSOS DE MARKOV, PROBABILIDADE

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      MOREIRA, Daniel Augusto de Melo e DELGADO, Karina Valdivia e BARROS, Leliane Nunes de. Robust probabilistic planning with ilao. Applied Intelligence, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0780-4. Acesso em: 05 nov. 2024.
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      Moreira, D. A. de M., Delgado, K. V., & Barros, L. N. de. (2016). Robust probabilistic planning with ilao. Applied Intelligence. doi:10.1007/s10489-016-0780-4
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      Moreira DA de M, Delgado KV, Barros LN de. Robust probabilistic planning with ilao [Internet]. Applied Intelligence. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10489-016-0780-4
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      Moreira DA de M, Delgado KV, Barros LN de. Robust probabilistic planning with ilao [Internet]. Applied Intelligence. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s10489-016-0780-4
  • Source: Physica D: Nonlinear Phenomena. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      ARRUDA, Guilherme Ferraz de et al. On degree–degree correlations in multilayer networks. Physica D: Nonlinear Phenomena, v. 323-324, n. Ju 2016, p. 5-11, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physd.2015.11.004. Acesso em: 05 nov. 2024.
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      Arruda, G. F. de, Cozzo, E., Moreno, Y., & Rodrigues, F. A. (2016). On degree–degree correlations in multilayer networks. Physica D: Nonlinear Phenomena, 323-324( Ju 2016), 5-11. doi:10.1016/j.physd.2015.11.004
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      Arruda GF de, Cozzo E, Moreno Y, Rodrigues FA. On degree–degree correlations in multilayer networks [Internet]. Physica D: Nonlinear Phenomena. 2016 ; 323-324( Ju 2016): 5-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physd.2015.11.004
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      Arruda GF de, Cozzo E, Moreno Y, Rodrigues FA. On degree–degree correlations in multilayer networks [Internet]. Physica D: Nonlinear Phenomena. 2016 ; 323-324( Ju 2016): 5-11.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.physd.2015.11.004
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      RODRIGUES, Francisco Aparecido. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. Physics of Life Reviews, v. 15, p. 37-38, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2015.10.010. Acesso em: 05 nov. 2024.
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      Rodrigues, F. A. (2015). The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. Physics of Life Reviews, 15, 37-38. doi:10.1016/j.plrev.2015.10.010
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      Rodrigues FA. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. [Internet]. Physics of Life Reviews. 2015 ; 15 37-38.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.plrev.2015.10.010
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      Rodrigues FA. The impact of information spreading on disease dynamics Comment on “Coupled disease–behavior on complex networks: a review” by Z. Wang et al. [Internet]. Physics of Life Reviews. 2015 ; 15 37-38.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.plrev.2015.10.010

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