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  • Source: Handbook of fuzzy sets comparison : theory, algorithms and applications. Unidade: IME

    Subjects: RECONHECIMENTO DE PADRÕES, ANÁLISE DE DADOS, FUZZY (INTELIGÊNCIA ARTIFICIAL), TESTES DE HIPÓTESES

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      GUEVARA, Jorge e HIRATA JÚNIOR, Roberto e CANU, Stephane. Fuzzy set similarity using a distance-based kernel on fuzzy sets. Handbook of fuzzy sets comparison : theory, algorithms and applications. Tradução . Xanthi: Science Gate Publishing, 2019. . Disponível em: https://doi.org/10.15579/gcsr.vol6.ch5. Acesso em: 07 out. 2024.
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      Guevara, J., Hirata Júnior, R., & Canu, S. (2019). Fuzzy set similarity using a distance-based kernel on fuzzy sets. In Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing. doi:10.15579/gcsr.vol6.ch5
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      Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2024 out. 07 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5
    • Vancouver

      Guevara J, Hirata Júnior R, Canu S. Fuzzy set similarity using a distance-based kernel on fuzzy sets [Internet]. In: Handbook of fuzzy sets comparison : theory, algorithms and applications. Xanthi: Science Gate Publishing; 2019. [citado 2024 out. 07 ] Available from: https://doi.org/10.15579/gcsr.vol6.ch5
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS, GEOMETRIA COMPUTACIONAL

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      DAZZI, Estephan et al. Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, v. 114, p. 53-62, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2017.10.038. Acesso em: 07 out. 2024.
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      Dazzi, E., Campos, T. de, Hilton, A., & César Júnior, R. M. (2018). Scalable object instance recognition based on keygraph matching. Pattern Recognition Letters, 114, 53-62. doi:10.1016/j.patrec.2017.10.038
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      Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
    • Vancouver

      Dazzi E, Campos T de, Hilton A, César Júnior RM. Scalable object instance recognition based on keygraph matching [Internet]. Pattern Recognition Letters. 2018 ; 114 53-62.[citado 2024 out. 07 ] Available from: https://doi.org/10.1016/j.patrec.2017.10.038
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images (SIBGRAPI). Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CONDORI, Marcos Ademir Tejada et al. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.8. Acesso em: 07 out. 2024.
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      Condori, M. A. T., Cappabianco, F. A. M., Falcão, A. X., & Miranda, P. A. V. de. (2017). Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2017.8
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      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.8
    • Vancouver

      Condori MAT, Cappabianco FAM, Falcão AX, Miranda PAV de. Extending the differential image foresting transform to root-based path-cost functions with application to superpixel segmentation [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.8
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA PROCESSAMENTO

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      MANSILLA, Lucy Alsina Choque e MIRANDA, Paulo. Oriented image foresting transform segmentation: connectivity constraints with adjustable width. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2016.047. Acesso em: 07 out. 2024.
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      Mansilla, L. A. C., & Miranda, P. (2017). Oriented image foresting transform segmentation: connectivity constraints with adjustable width. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2016.047
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      Mansilla LAC, Miranda P. Oriented image foresting transform segmentation: connectivity constraints with adjustable width [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.047
    • Vancouver

      Mansilla LAC, Miranda P. Oriented image foresting transform segmentation: connectivity constraints with adjustable width [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2016.047
  • Source: Pattern recognition and big data. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES

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      HASHIMOTO, M et al. Keygraphs: structured features for object detection and applications. Pattern recognition and big data. Tradução . Singapore: Hackensack, NJ, 2017. . Disponível em: https://www.worldscientific.com/worldscibooks/10.1142/10153. Acesso em: 07 out. 2024.
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      Hashimoto, M., Morimitsu, H., Hirata Júnior, R., & César Júnior, R. M. (2017). Keygraphs: structured features for object detection and applications. In Pattern recognition and big data. Singapore: Hackensack, NJ. Recuperado de https://www.worldscientific.com/worldscibooks/10.1142/10153
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      Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 out. 07 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
    • Vancouver

      Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 out. 07 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153
  • Source: Frontiers in Cellular and Infection Microbiology. Unidades: IME, FMVZ, ICB

    Subjects: CARRAPATOS, RICKETTSIACEAE, RICKETTSIOSES EM ANIMAIS, DOENÇAS TRANSMITIDAS POR CARRAPATOS

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      MARTINS, Larissa A et al. The distinct transcriptional response of the midgut of Amblyomma sculptum and Amblyomma aureolatum ticks to Rickettsia rickettsii correlates to their differences in susceptibility to infection. Frontiers in Cellular and Infection Microbiology, v. 7, p. 1-13, 2017Tradução . . Disponível em: https://doi.org/10.3389/fcimb.2017.00129. Acesso em: 07 out. 2024.
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      Martins, L. A., Galletti, M. F. B. de M., Ribeiro, J. M., Fujita, A., Costa, F. B. da, Labruna, M. B., et al. (2017). The distinct transcriptional response of the midgut of Amblyomma sculptum and Amblyomma aureolatum ticks to Rickettsia rickettsii correlates to their differences in susceptibility to infection. Frontiers in Cellular and Infection Microbiology, 7, 1-13. doi:10.3389/fcimb.2017.00129
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      Martins LA, Galletti MFB de M, Ribeiro JM, Fujita A, Costa FB da, Labruna MB, Daffre S, Fogaça AC. The distinct transcriptional response of the midgut of Amblyomma sculptum and Amblyomma aureolatum ticks to Rickettsia rickettsii correlates to their differences in susceptibility to infection [Internet]. Frontiers in Cellular and Infection Microbiology. 2017 ; 7 1-13.[citado 2024 out. 07 ] Available from: https://doi.org/10.3389/fcimb.2017.00129
    • Vancouver

      Martins LA, Galletti MFB de M, Ribeiro JM, Fujita A, Costa FB da, Labruna MB, Daffre S, Fogaça AC. The distinct transcriptional response of the midgut of Amblyomma sculptum and Amblyomma aureolatum ticks to Rickettsia rickettsii correlates to their differences in susceptibility to infection [Internet]. Frontiers in Cellular and Infection Microbiology. 2017 ; 7 1-13.[citado 2024 out. 07 ] Available from: https://doi.org/10.3389/fcimb.2017.00129
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images (SIBGRAPI). Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      CASTAÑEDA LEÓN, Leissi Margarita e MIRANDA, Paulo André Vechiatto de. Multi-object segmentation by hierarchical layered oriented image foresting transform. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SIBGRAPI.2017.17. Acesso em: 07 out. 2024.
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      Castañeda León, L. M., & Miranda, P. A. V. de. (2017). Multi-object segmentation by hierarchical layered oriented image foresting transform. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2017.17
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      Castañeda León LM, Miranda PAV de. Multi-object segmentation by hierarchical layered oriented image foresting transform [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.17
    • Vancouver

      Castañeda León LM, Miranda PAV de. Multi-object segmentation by hierarchical layered oriented image foresting transform [Internet]. Proceedings. 2017 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/SIBGRAPI.2017.17
  • Source: Big data analytics in genomics. Unidade: IME

    Subjects: BIOINFORMÁTICA, VARIAÇÃO GENÉTICA, GENÓTIPOS

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      RIBEIRO, Adele Helena et al. Causal inference and structure learning of genotype–phenotype networks using genetic variation. Big data analytics in genomics. Tradução . Cham: Springer, 2016. . Disponível em: https://doi.org/10.1007/978-3-319-41279-5_3. Acesso em: 07 out. 2024.
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      Ribeiro, A. H., Soler, J. M. P., Chaibub Neto, E., & Fujita, A. (2016). Causal inference and structure learning of genotype–phenotype networks using genetic variation. In Big data analytics in genomics. Cham: Springer. doi:10.1007/978-3-319-41279-5_3
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      Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3
    • Vancouver

      Ribeiro AH, Soler JMP, Chaibub Neto E, Fujita A. Causal inference and structure learning of genotype–phenotype networks using genetic variation [Internet]. In: Big data analytics in genomics. Cham: Springer; 2016. [citado 2024 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-41279-5_3
  • Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, NEUROCIÊNCIAS, AUTISMO

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      SATO, João Ricardo et al. Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 15, n. 2, p. 581-587, 2015Tradução . . Disponível em: https://doi.org/10.1109/TCBB.2015.2476787. Acesso em: 07 out. 2024.
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      Sato, J. R., Vidal, M. C., Santos, S. de S., Massirer, K. B., & Fujita, A. (2015). Complex network measures in autism spectrum disorders. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15( 2), 581-587. doi:10.1109/TCBB.2015.2476787
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      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
    • Vancouver

      Sato JR, Vidal MC, Santos S de S, Massirer KB, Fujita A. Complex network measures in autism spectrum disorders [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015 ; 15( 2): 581-587.[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/TCBB.2015.2476787
  • Source: Proceedings. Conference titles: IEEE International Conference on E-Science. Unidades: IME, BIOINFORMÁTICA

    Subjects: ANÁLISE DE DADOS, HIV, COMPUTAÇÃO APLICADA

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      CINTHO, Mina e CÉSAR JÚNIOR, Roberto Marcondes e FERREIRA, João Eduardo. Data-intensive analysis of HIV mutations. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/eScience.2012.6404411. Acesso em: 07 out. 2024.
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      Cintho, M., César Júnior, R. M., & Ferreira, J. E. (2012). Data-intensive analysis of HIV mutations. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2012.6404411
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      Cintho M, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. Proceedings. 2012 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/eScience.2012.6404411
    • Vancouver

      Cintho M, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. Proceedings. 2012 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/eScience.2012.6404411
  • Source: Proceedings. Conference titles: IEEE International Conference on E-Science. Unidades: BIOENERGIA, IME

    Subjects: COMPONENTES PRINCIPAIS, BIOCOMBUSTÍVEIS

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      LIU, Y Ling e DRIEMEIER, Carlos Eduardo e CÉSAR JÚNIOR, Roberto Marcondes. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/eScience.2012.6404485. Acesso em: 07 out. 2024.
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      Liu, Y. L., Driemeier, C. E., & César Júnior, R. M. (2012). Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components. In Proceedings. Los Alamitos: IEEE. doi:10.1109/eScience.2012.6404485
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      Liu YL, Driemeier CE, César Júnior RM. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components [Internet]. Proceedings. 2012 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/eScience.2012.6404485
    • Vancouver

      Liu YL, Driemeier CE, César Júnior RM. Data-oriented research for bioresource utilization: a case study to investigate water uptake in cellulose using principal components [Internet]. Proceedings. 2012 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1109/eScience.2012.6404485
  • Source: Canadian Mathematical Bulletin. Unidade: IME

    Assunto: HOMOTOPIA

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      GOLASINSKI, Marek e GONÇALVES, Daciberg Lima. Spherical space forms: homotopy types and self-equivalences for the group (Z/a x Z/b) x SL2 (F-p). Canadian Mathematical Bulletin, v. 50, n. 2, p. 206-214, 2007Tradução . . Disponível em: https://doi.org/10.4153/CMB-2007-022-5. Acesso em: 07 out. 2024.
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      Golasinski, M., & Gonçalves, D. L. (2007). Spherical space forms: homotopy types and self-equivalences for the group (Z/a x Z/b) x SL2 (F-p). Canadian Mathematical Bulletin, 50( 2), 206-214. doi:10.4153/CMB-2007-022-5
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      Golasinski M, Gonçalves DL. Spherical space forms: homotopy types and self-equivalences for the group (Z/a x Z/b) x SL2 (F-p) [Internet]. Canadian Mathematical Bulletin. 2007 ; 50( 2): 206-214.[citado 2024 out. 07 ] Available from: https://doi.org/10.4153/CMB-2007-022-5
    • Vancouver

      Golasinski M, Gonçalves DL. Spherical space forms: homotopy types and self-equivalences for the group (Z/a x Z/b) x SL2 (F-p) [Internet]. Canadian Mathematical Bulletin. 2007 ; 50( 2): 206-214.[citado 2024 out. 07 ] Available from: https://doi.org/10.4153/CMB-2007-022-5
  • Conference titles: Conference on Groups, Rings, and Group Rings. Unidade: IME

    Subjects: TEORIA DOS GRUPOS, ANÉIS DE GRUPOS

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      POLCINO MILIES, Francisco César e SEHGAL, Sudarshan K. Groups, rings and group rings. . Boca Raton: Chapman & Hall/CRC. Disponível em: https://doi.org/10.1201/9781420010961. Acesso em: 07 out. 2024. , 2006
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      Polcino Milies, F. C., & Sehgal, S. K. (2006). Groups, rings and group rings. Boca Raton: Chapman & Hall/CRC. doi:10.1201/9781420010961
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      Polcino Milies FC, Sehgal SK. Groups, rings and group rings [Internet]. 2006 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1201/9781420010961
    • Vancouver

      Polcino Milies FC, Sehgal SK. Groups, rings and group rings [Internet]. 2006 ;[citado 2024 out. 07 ] Available from: https://doi.org/10.1201/9781420010961

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