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  • Source: Non-coding RNA Research. Unidades: IME, BIOINFORMÁTICA

    Subjects: NEOPLASIAS PULMONARES, ÁLGEBRAS DE BOOLE, APOPTOSE

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      GUPTA, Shantanu et al. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, v. 9, n. 1, p. 185-193, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.10.008. Acesso em: 28 mar. 2024.
    • APA

      Gupta, S., Silveira, D. A., Piedade, G. P. S., Ostrowski, M. P., Mombach, J. C. M., & Hashimoto, R. F. (2024). A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, 9( 1), 185-193. doi:10.1016/j.ncrna.2023.10.008
    • NLM

      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
    • Vancouver

      Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
  • Source: Non-coding RNA Research. Unidade: IME

    Subjects: APOPTOSE, ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu et al. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, v. 8, n. 4, p. 605-614, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.08.003. Acesso em: 28 mar. 2024.
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      Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2023). The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death. Non-coding RNA Research, 8( 4), 605-614. doi:10.1016/j.ncrna.2023.08.003
    • NLM

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
    • Vancouver

      Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death [Internet]. Non-coding RNA Research. 2023 ; 8( 4): 605-614.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
  • Source: Cells. Unidade: IME

    Subjects: DNA, ANÁLISE DE SÉRIES TEMPORAIS, ÁLGEBRAS DE BOOLE

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      GUPTA, Shantanu et al. Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, v. 12, n. artigo 1085, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.3390/cells12071085. Acesso em: 28 mar. 2024.
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      Gupta, S., Panda, P. K., Silveira, D. A., Ahuja, R., & Hashimoto, R. F. (2023). Quadra-stable dynamics of p53 and PTEN in the DNA damage response. Cells, 12( artigo 1085), 1-17. doi:10.3390/cells12071085
    • NLM

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/cells12071085
    • Vancouver

      Gupta S, Panda PK, Silveira DA, Ahuja R, Hashimoto RF. Quadra-stable dynamics of p53 and PTEN in the DNA damage response [Internet]. Cells. 2023 ; 12( artigo 1085): 1-17.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/cells12071085
  • Source: Computational Biology and Chemistry. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu e SILVEIRA, Daner Acunha e HASHIMOTO, Ronaldo Fumio. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, v. 106, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2023.107926. Acesso em: 28 mar. 2024.
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      Gupta, S., Silveira, D. A., & Hashimoto, R. F. (2023). A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, 106, 1-6. doi:10.1016/j.compbiolchem.2023.107926
    • NLM

      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
  • Source: Ambient intelligence in health care : proceedings. Conference titles: International Conference on Ambient Intelligence in Health Care - ICAIHC. Unidade: IME

    Subjects: REDES COMPLEXAS, ENTROPIA, COVID-19, ANÁLISE SEQUENCIAL, BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES

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      PIMENTA-ZANON, Matheus H. et al. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. 2023, Anais.. Heidelberg: Springer, 2023. Disponível em: https://doi.org/10.1007/978-981-19-6068-0_44. Acesso em: 28 mar. 2024.
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      Pimenta-Zanon, M. H., de Souza, V. A., Hashimoto, R. F., & Lopes, F. M. (2023). Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. In Ambient intelligence in health care : proceedings. Heidelberg: Springer. doi:10.1007/978-981-19-6068-0_44
    • NLM

      Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
    • Vancouver

      Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
  • Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA

    Subjects: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      SOUSA, Ronaldo Nogueira de et al. Exploring identifiability in hybrid models of cell signaling pathways. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_14. Acesso em: 28 mar. 2024.
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      Sousa, R. N. de, Campos, C. G. S., Wang, W., Hashimoto, R. F., Armelin, H. A., & Reis, M. S. (2023). Exploring identifiability in hybrid models of cell signaling pathways. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_14
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      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
    • Vancouver

      Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
  • Unidade: BIOINFORMÁTICA

    Subjects: MALÁRIA, PLASMODIUM FALCIPARUM, ENZIMAS, EXPRESSÃO GÊNICA

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      CANO, Lyang Higa. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum. 2023. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/. Acesso em: 28 mar. 2024.
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      Cano, L. H. (2023). Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
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      Cano LH. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum [Internet]. 2023 ;[citado 2024 mar. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
    • Vancouver

      Cano LH. Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum [Internet]. 2023 ;[citado 2024 mar. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
  • Source: Biomolecules. Unidade: IME

    Subjects: FUNÇÕES BOOLEANAS, RNA

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      GUPTA, Shantanu e HASHIMOTO, Ronaldo Fumio. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer. Biomolecules, v. 12, n. artigo 420, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.3390/biom12030420. Acesso em: 28 mar. 2024.
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      Gupta, S., & Hashimoto, R. F. (2022). Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer. Biomolecules, 12( artigo 420), 1-19. doi:10.3390/biom12030420
    • NLM

      Gupta S, Hashimoto RF. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer [Internet]. Biomolecules. 2022 ; 12( artigo 420): 1-19.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/biom12030420
    • Vancouver

      Gupta S, Hashimoto RF. Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer [Internet]. Biomolecules. 2022 ; 12( artigo 420): 1-19.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/biom12030420
  • Source: Scientific Reports. Unidade: IME

    Assunto: CIÊNCIA DA COMPUTAÇÃO

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      GUPTA, Shantanu et al. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, v. 12, n. artigo 4911, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08900-y. Acesso em: 28 mar. 2024.
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      Gupta, S., Panda, P. K., Hashimoto, R. F., Samal, S. K., Mishra, S., Verma, S. K., et al. (2022). Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, 12( artigo 4911), 1-13. doi:10.1038/s41598-022-08900-y
    • NLM

      Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-08900-y
    • Vancouver

      Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-08900-y
  • Source: Scientific Reports. Unidades: IME, BIOINFORMÁTICA

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA

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      KAWASHIMA, IrinaYuri et al. SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, v. 12, n. artigo 4576, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08350-6. Acesso em: 28 mar. 2024.
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      Kawashima, I. Y., Lopez, M. C. N., Cunha, M. dos P., & Hashimoto, R. F. (2022). SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, 12( artigo 4576), 1-9. doi:10.1038/s41598-022-08350-6
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      Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
    • Vancouver

      Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
  • Source: Biology. Unidade: IME

    Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA

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      GUPTA, Shantanu et al. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, v. 11, n. artigo 480, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/biology11040480. Acesso em: 28 mar. 2024.
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      Gupta, S., Silveira, D. A., Hashimoto, R. F., & Mombach, J. C. M. (2022). A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, 11( artigo 480), 1-14. doi:10.3390/biology11040480
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      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/biology11040480
    • Vancouver

      Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/biology11040480
  • Source: São Paulo Journal of Mathematical Sciences. Unidade: IME

    Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS

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      BARRERA, Junior et al. From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences, 2022Tradução . . Disponível em: https://doi.org/10.1007/s40863-022-00303-1. Acesso em: 28 mar. 2024.
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      Barrera, J., Hashimoto, R. F., Hirata, N. S. T., Hirata Júnior, R., & Reis, M. S. (2022). From mathematical morphology to machine learning of image operators. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-022-00303-1
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      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
    • Vancouver

      Barrera J, Hashimoto RF, Hirata NST, Hirata Júnior R, Reis MS. From mathematical morphology to machine learning of image operators [Internet]. São Paulo Journal of Mathematical Sciences. 2022 ;[citado 2024 mar. 28 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
  • Source: Scientific Reports. Unidade: IME

    Subjects: FUNÇÕES BOOLEANAS, DNA, RNA

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      GUPTA, Shantanu et al. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer. Scientific Reports, v. 12, n. artigo 18312, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-21492-x. Acesso em: 28 mar. 2024.
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      Gupta, S., Panda, P. K., Luo, W., Hashimoto, R. F., & Ahuja, R. (2022). Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer. Scientific Reports, 12( artigo 18312), 1-10. doi:10.1038/s41598-022-21492-x
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      Gupta S, Panda PK, Luo W, Hashimoto RF, Ahuja R. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer [Internet]. Scientific Reports. 2022 ; 12( artigo 18312): 1-10.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-21492-x
    • Vancouver

      Gupta S, Panda PK, Luo W, Hashimoto RF, Ahuja R. Network analysis reveals that the tumor suppressor lncRNA GAS5 acts as a double-edged sword in response to DNA damage in gastric cancer [Internet]. Scientific Reports. 2022 ; 12( artigo 18312): 1-10.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1038/s41598-022-21492-x
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      GOBBER, Charles F e HASHIMOTO, Ronaldo Fumio e ALVES, Wonder Alexandre Luz. An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, v. 163, p. 47-54, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2022.09.005. Acesso em: 28 mar. 2024.
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      Gobber, C. F., Hashimoto, R. F., & Alves, W. A. L. (2022). An efficient algorithm to update non-flat and incremental attributes in morphological trees. Pattern Recognition Letters, 163, 47-54. doi:10.1016/j.patrec.2022.09.005
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      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
    • Vancouver

      Gobber CF, Hashimoto RF, Alves WAL. An efficient algorithm to update non-flat and incremental attributes in morphological trees [Internet]. Pattern Recognition Letters. 2022 ; 163 47-54.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
  • Source: Computers & Graphics. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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      WANG, Jieying et al. Interactive image manipulation using morphological trees and spline-based skeletons. Computers & Graphics, v. 108, p. 61-73, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2022.09.002. Acesso em: 28 mar. 2024.
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      Wang, J., Silva, D. J., Kosinka, J., Telea, A. C., Hashimoto, R. F., & Roerdink, J. B. T. M. (2022). Interactive image manipulation using morphological trees and spline-based skeletons. Computers & Graphics, 108, 61-73. doi:10.1016/j.cag.2022.09.002
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      Wang J, Silva DJ, Kosinka J, Telea AC, Hashimoto RF, Roerdink JBTM. Interactive image manipulation using morphological trees and spline-based skeletons [Internet]. Computers & Graphics. 2022 ; 108 61-73.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.cag.2022.09.002
    • Vancouver

      Wang J, Silva DJ, Kosinka J, Telea AC, Hashimoto RF, Roerdink JBTM. Interactive image manipulation using morphological trees and spline-based skeletons [Internet]. Computers & Graphics. 2022 ; 108 61-73.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.cag.2022.09.002
  • Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      MORIMITSU, Alexandre. Algorithms and data structure for component-hypertrees of gray-level images. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/. Acesso em: 28 mar. 2024.
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      Morimitsu, A. (2021). Algorithms and data structure for component-hypertrees of gray-level images (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
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      Morimitsu A. Algorithms and data structure for component-hypertrees of gray-level images [Internet]. 2021 ;[citado 2024 mar. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
    • Vancouver

      Morimitsu A. Algorithms and data structure for component-hypertrees of gray-level images [Internet]. 2021 ;[citado 2024 mar. 28 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
  • Source: Entropy. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES

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      MEDINA-RODRÍGUEZ, Rosario e BELTRÁN CASTAÑÓN, César e HASHIMOTO, Ronaldo Fumio. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box. Entropy, v. 23, n. 11, 2021Tradução . . Disponível em: https://doi.org/10.3390/e23111541. Acesso em: 28 mar. 2024.
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      Medina-Rodríguez, R., Beltrán Castañón, C., & Hashimoto, R. F. (2021). An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box. Entropy, 23( 11). doi:10.3390/e23111541
    • NLM

      Medina-Rodríguez R, Beltrán Castañón C, Hashimoto RF. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box [Internet]. Entropy. 2021 ; 23( 11):[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/e23111541
    • Vancouver

      Medina-Rodríguez R, Beltrán Castañón C, Hashimoto RF. An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box [Internet]. Entropy. 2021 ; 23( 11):[citado 2024 mar. 28 ] Available from: https://doi.org/10.3390/e23111541
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS

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    • ABNT

      ALVES, Wonder Alexandre Luz et al. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, v. 133, p. 264-271, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.03.013. Acesso em: 28 mar. 2024.
    • APA

      Alves, W. A. L., Gobber, C. F., Silva, D. J. da, Morimitsu, A., Hashimoto, R. F., & Marcotegui, B. (2020). Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, 133, 264-271. doi:10.1016/j.patrec.2020.03.013
    • NLM

      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
    • Vancouver

      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
  • Source: Pattern Recognition Letters. Unidade: IME

    Assunto: PROCESSAMENTO DE IMAGENS

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    • ABNT

      SILVA, Dênnis José da e ALVES, Wonder Alexandre Luz e HASHIMOTO, Ronaldo Fumio. Incremental bit-quads count in component trees: theory, algorithms, and optimization. Pattern Recognition Letters, v. 129, p. 33-40, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2019.10.036. Acesso em: 28 mar. 2024.
    • APA

      Silva, D. J. da, Alves, W. A. L., & Hashimoto, R. F. (2020). Incremental bit-quads count in component trees: theory, algorithms, and optimization. Pattern Recognition Letters, 129, 33-40. doi:10.1016/j.patrec.2019.10.036
    • NLM

      Silva DJ da, Alves WAL, Hashimoto RF. Incremental bit-quads count in component trees: theory, algorithms, and optimization [Internet]. Pattern Recognition Letters. 2020 ; 129 33-40.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.036
    • Vancouver

      Silva DJ da, Alves WAL, Hashimoto RF. Incremental bit-quads count in component trees: theory, algorithms, and optimization [Internet]. Pattern Recognition Letters. 2020 ; 129 33-40.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.036
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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    • ABNT

      MORIMITSU, Alexandre et al. Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, v. 135, p. 30-37, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.02.032. Acesso em: 28 mar. 2024.
    • APA

      Morimitsu, A., Passat, N., Alves, W. A. L., & Hashimoto, R. F. (2020). Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, 135, 30-37. doi:10.1016/j.patrec.2020.02.032
    • NLM

      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
    • Vancouver

      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032

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