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  • Source: Research in the Mathematical Sciences. Unidade: ICMC

    Assunto: SINGULARIDADES

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      BIVIÀ-AUSINA, Carles e KOURLIOUROS, Konstantinos e RUAS, Maria Aparecida Soares. Bruce-Roberts numbers and quasihomogeneous functions on analytic varieties. Research in the Mathematical Sciences, v. 11, n. 3, p. 1-23, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40687-024-00458-7. Acesso em: 29 set. 2024.
    • APA

      Bivià-Ausina, C., Kourliouros, K., & Ruas, M. A. S. (2024). Bruce-Roberts numbers and quasihomogeneous functions on analytic varieties. Research in the Mathematical Sciences, 11( 3), 1-23. doi:10.1007/s40687-024-00458-7
    • NLM

      Bivià-Ausina C, Kourliouros K, Ruas MAS. Bruce-Roberts numbers and quasihomogeneous functions on analytic varieties [Internet]. Research in the Mathematical Sciences. 2024 ; 11( 3): 1-23.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s40687-024-00458-7
    • Vancouver

      Bivià-Ausina C, Kourliouros K, Ruas MAS. Bruce-Roberts numbers and quasihomogeneous functions on analytic varieties [Internet]. Research in the Mathematical Sciences. 2024 ; 11( 3): 1-23.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s40687-024-00458-7
  • Source: International Journal of Data Science and Analytics. Unidade: ICMC

    Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      SANTOS, Moises Rocha dos e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e SOARES, Carlos. METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics, 2024Tradução . . Disponível em: https://doi.org/10.1007/s41060-024-00569-y. Acesso em: 29 set. 2024.
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      Santos, M. R. dos, Carvalho, A. C. P. de L. F. de, & Soares, C. (2024). METAFORE: algorithm selection for decomposition-based forecasting combinations. International Journal of Data Science and Analytics. doi:10.1007/s41060-024-00569-y
    • NLM

      Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
    • Vancouver

      Santos MR dos, Carvalho ACP de LF de, Soares C. METAFORE: algorithm selection for decomposition-based forecasting combinations [Internet]. International Journal of Data Science and Analytics. 2024 ;[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s41060-024-00569-y
  • Source: Data Mining and Knowledge Discovery. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      MANTOVANI, Rafael Gomes et al. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, v. 38, n. 3, p. 1364-1416, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10618-024-01002-5. Acesso em: 29 set. 2024.
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      Mantovani, R. G., Horváth, T., Rossi, A. L. D., Cerri, R., Barbon Júnior, S., Vanschoren, J., & Carvalho, A. C. P. de L. F. de. (2024). Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, 38( 3), 1364-1416. doi:10.1007/s10618-024-01002-5
    • NLM

      Mantovani RG, Horváth T, Rossi ALD, Cerri R, Barbon Júnior S, Vanschoren J, Carvalho ACP de LF de. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 3): 1364-1416.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s10618-024-01002-5
    • Vancouver

      Mantovani RG, Horváth T, Rossi ALD, Cerri R, Barbon Júnior S, Vanschoren J, Carvalho ACP de LF de. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms [Internet]. Data Mining and Knowledge Discovery. 2024 ; 38( 3): 1364-1416.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s10618-024-01002-5
  • Source: The European Physical Journal Special Topics. Unidade: ICMC

    Subjects: CLIMA, VULCANISMO, TEMPERATURA ATMOSFÉRICA, ANÁLISE FUNCIONAL

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      KITTEL, Tim et al. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, v. 230, p. 3075-3100, 2022Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00269-9. Acesso em: 29 set. 2024.
    • APA

      Kittel, T., Ciemer, C., Lotfi, N., Peron, T., Rodrigues, F. A., Kurths, J., & Donner, R. (2022). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, 230, 3075-3100. doi:10.1140/epjs/s11734-021-00269-9
    • NLM

      Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 set. 29 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
    • Vancouver

      Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 set. 29 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
  • Source: Journal of Mathematical Analysis and Applications. Unidade: ICMC

    Subjects: ATRATORES, EQUAÇÕES DIFERENCIAIS PARCIAIS

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    • ABNT

      MOREIRA, Estefani Moraes e VALERO, José. Structure of the attractor for a non-local Chafee-Infante problem. Journal of Mathematical Analysis and Applications, v. 507, n. 2, p. 1-25, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.jmaa.2021.125801. Acesso em: 29 set. 2024.
    • APA

      Moreira, E. M., & Valero, J. (2022). Structure of the attractor for a non-local Chafee-Infante problem. Journal of Mathematical Analysis and Applications, 507( 2), 1-25. doi:10.1016/j.jmaa.2021.125801
    • NLM

      Moreira EM, Valero J. Structure of the attractor for a non-local Chafee-Infante problem [Internet]. Journal of Mathematical Analysis and Applications. 2022 ; 507( 2): 1-25.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.jmaa.2021.125801
    • Vancouver

      Moreira EM, Valero J. Structure of the attractor for a non-local Chafee-Infante problem [Internet]. Journal of Mathematical Analysis and Applications. 2022 ; 507( 2): 1-25.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.jmaa.2021.125801
  • Source: Scientific Reports. Unidade: ICMC

    Subjects: ECONOMIA INTERNACIONAL, COMÉRCIO, REDES COMPLEXAS

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      ALVES, Luiz Gustavo de Andrade et al. The rise and fall of countries in the global value chains. Scientific Reports, v. 12, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-12067-x. Acesso em: 29 set. 2024.
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      Alves, L. G. de A., Mangioni, G., Rodrigues, F. A., Panzarasa, P., & Moreno, Y. (2022). The rise and fall of countries in the global value chains. Scientific Reports, 12, 1-14. doi:10.1038/s41598-022-12067-x
    • NLM

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 set. 29 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
    • Vancouver

      Alves LG de A, Mangioni G, Rodrigues FA, Panzarasa P, Moreno Y. The rise and fall of countries in the global value chains [Internet]. Scientific Reports. 2022 ; 12 1-14.[citado 2024 set. 29 ] Available from: https://doi.org/10.1038/s41598-022-12067-x
  • Source: User Modeling and User-Adapted Interaction. Unidade: ICMC

    Subjects: RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO

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      RANA, Arplt et al. Extended recommendation-by-explanation. User Modeling and User-Adapted Interaction, v. 32, n. 1-2, p. 91-131, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11257-021-09317-4. Acesso em: 29 set. 2024.
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      Rana, A., D'Addio, R. M., Manzato, M. G., & Bridge, D. (2022). Extended recommendation-by-explanation. User Modeling and User-Adapted Interaction, 32( 1-2), 91-131. doi:10.1007/s11257-021-09317-4
    • NLM

      Rana A, D'Addio RM, Manzato MG, Bridge D. Extended recommendation-by-explanation [Internet]. User Modeling and User-Adapted Interaction. 2022 ; 32( 1-2): 91-131.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11257-021-09317-4
    • Vancouver

      Rana A, D'Addio RM, Manzato MG, Bridge D. Extended recommendation-by-explanation [Internet]. User Modeling and User-Adapted Interaction. 2022 ; 32( 1-2): 91-131.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11257-021-09317-4
  • Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MATRIZES

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      MARTÍNEZ-MARTÍNEZ, C. T et al. Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111504. Acesso em: 29 set. 2024.
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      Martínez-Martínez, C. T., Méndez-Bermúdez, J. A., Peron, T., & Moreno, Y. (2021). Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111504
    • NLM

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
    • Vancouver

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
  • Source: Information Sciences. Unidade: ICMC

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS

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      ROSSI, André Luis Debiaso et al. Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, v. 565, p. 262-277, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2021.02.075. Acesso em: 29 set. 2024.
    • APA

      Rossi, A. L. D., Soares, C., Souza, B. F. de, & Carvalho, A. C. P. de L. F. de. (2021). Micro-MetaStream: algorithm selection for time-changing data. Information Sciences, 565, 262-277. doi:10.1016/j.ins.2021.02.075
    • NLM

      Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075
    • Vancouver

      Rossi ALD, Soares C, Souza BF de, Carvalho ACP de LF de. Micro-MetaStream: algorithm selection for time-changing data [Internet]. Information Sciences. 2021 ; 565 262-277.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.ins.2021.02.075

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