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Trabalho de evento
Differential maximum euclidean distance transform computation in component trees (2024)
Silva, Dennis José da; Miranda, Paulo André Vechiatto de ; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio ; Kosinka, Jiří ; Roerdink, Jos B. T. M.
Source: Proceedings. Conference titles: International Conference on Discrete Geometry and Mathematical Morphology - DGMM. Unidade: IME
Assunto: COMPUTAÇÃO APLICADA
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ABNT
SILVA, Dennis José da et al. Differential maximum euclidean distance transform computation in component trees. 2024, Anais.. Cham: Springer, 2024. Disponível em: https://doi.org/10.1007/978-3-319-41501-7_81. Acesso em: 03 nov. 2024.
APA
Silva, D. J. da, Miranda, P. A. V. de, Alves, W. A. L., Hashimoto, R. F., Kosinka, J., & Roerdink, J. B. T. M. (2024). Differential maximum euclidean distance transform computation in component trees. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-57793-2_6
NLM
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
Vancouver
Silva DJ da, Miranda PAV de, Alves WAL, Hashimoto RF, Kosinka J, Roerdink JBTM. Differential maximum euclidean distance transform computation in component trees [Internet]. Proceedings. 2024 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-319-41501-7_81
Artigo de periodico
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 (2024)
Gupta, Shantanu ; Silveira, Daner Acunha ; Piedade, Gabriel Pinheiro Strini ; Ostrowski, Miguel P.; Mombach, Jose Carlos M. ; Hashimoto, Ronaldo Fumio
Source: Non-coding RNA Research. Unidades: IME, BIOINFORMÁTICA
Subjects: NEOPLASIAS PULMONARES, ÁLGEBRAS DE BOOLE, APOPTOSE
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ABNT
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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
Artigo de periodico
A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma (2023)
Gupta, Shantanu ; Silveira, Daner Acunha; Hashimoto, Ronaldo Fumio
Source: Computational Biology and Chemistry. Unidade: IME
Subjects: ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES
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ABNT
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: 03 nov. 2024.
APA
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
Artigo de periodico
The lncRNA DLX6-AS1/miR-16-5p axis regulates autophagy and apoptosis in non-small cell lung cancer: a Boolean model of cell death (2023)
Gupta, Shantanu ; Silveira, Daner Acunha ; Mombach, Jose Carlos M. ; Hashimoto, Ronaldo Fumio
Source: Non-coding RNA Research. Unidade: IME
Subjects: APOPTOSE, ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES
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ABNT
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: 03 nov. 2024.
APA
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.ncrna.2023.08.003
Trabalho de evento
Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 (2023)
Pimenta-Zanon, Matheus H. ; de Souza, Vinicius Augusto; Hashimoto, Ronaldo Fumio ; Lopes, Fabricio Martins
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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ABNT
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: 03 nov. 2024.
APA
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
Trabalho de evento
Exploring identifiability in hybrid models of cell signaling pathways (2023)
Sousa, Ronaldo Nogueira de ; Campos, Cristiano G. S ; Wang, Willian ; Hashimoto, Ronaldo Fumio ; Armelin, Hugo Aguirre ; Reis, Marcelo S.
Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
Dissertação (Mestrado)
Decoding ubiquitination in the fight against malaria: a network-based exploration of E1-E2-E3 enzyme triples in Plasmodium falciparum (2023)
Cano, Lyang Higa; Hashimoto, Ronaldo Fumio (Orientador)
Unidade: BIOINFORMÁTICA
Subjects: MALÁRIA, PLASMODIUM FALCIPARUM, ENZIMAS, EXPRESSÃO GÊNICA
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ABNT
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: 03 nov. 2024.
APA
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/
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/95/95131/tde-09012024-171914/
Artigo de periodico
Dynamical analysis of a Boolean network model of the oncogene role of lncRNA ANRIL and lncRNA UFC1 in non-dmall vell lung cancer (2022)
Gupta, Shantanu ; Hashimoto, Ronaldo Fumio
Source: Biomolecules. Unidade: IME
Subjects: FUNÇÕES BOOLEANAS, RNA
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ABNT
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: 03 nov. 2024.
APA
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.3390/biom12030420
Artigo de periodico
SARS‑CoV‑2 host prediction based on virus‑host genetic features (2022)
Kawashima, IrinaYuri ; Lopez, Maria Claudia Negret ; Cunha, Marielton dos Passos ; Hashimoto, Ronaldo Fumio
Source: Scientific Reports. Unidades: IME, BIOINFORMÁTICA
Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
Artigo de periodico
A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells (2022)
Gupta, Shantanu ; Silveira, Daner Acunha ; Hashimoto, Ronaldo Fumio ; Mombach, Jose Carlos M.
Source: Biology. Unidade: IME
Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.3390/biology11040480
Artigo de periodico
From mathematical morphology to machine learning of image operators (2022)
Barrera, Junior ; Hashimoto, Ronaldo Fumio ; Hirata, Nina Sumiko Tomita ; Hirata Júnior, Roberto ; Reis, Marcelo S.
Source: São Paulo Journal of Mathematical Sciences. Unidade: IME
Subjects: METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, PROCESSAMENTO DE IMAGENS
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1007/s40863-022-00303-1
Artigo de periodico
An efficient algorithm to update non-flat and incremental attributes in morphological trees (2022)
Gobber, Charles F; Hashimoto, Ronaldo Fumio ; Alves, Wonder Alexandre Luz
Source: Pattern Recognition Letters. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2022.09.005
Artigo de periodico
Interactive image manipulation using morphological trees and spline-based skeletons (2022)
Wang, Jieying ; Silva, Dennis J.; Kosinka, Jiří ; Telea, Alexandru Cristian ; Hashimoto, Ronaldo Fumio ; Roerdink, Jos B. T. M.
Source: Computers & Graphics. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
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: 03 nov. 2024.
APA
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
NLM
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.cag.2022.09.002
Tese (Doutorado)
Algorithms and data structure for component-hypertrees of gray-level images (2021)
Morimitsu, Alexandre; Hashimoto, Ronaldo Fumio (Orientador)
Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
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ABNT
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: 03 nov. 2024.
APA
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/
NLM
Morimitsu A. Algorithms and data structure for component-hypertrees of gray-level images [Internet]. 2021 ;[citado 2024 nov. 03 ] 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 nov. 03 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-23032021-200926/
Artigo de periodico
An approach to growth delimitation of straight line segment classifiers based on a minimum bounding box (2021)
Medina-Rodríguez, Rosario ; Beltrán Castañón, César ; Hashimoto, Ronaldo Fumio
Source: Entropy. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 03 nov. 2024.
APA
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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.3390/e23111541
Artigo de periodico
Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies (2020)
Alves, Wonder Alexandre Luz ; Gobber, Charles F; Silva, Dênnis José da; Morimitsu, Alexandre; Hashimoto, Ronaldo Fumio ; Marcotegui, Beatriz
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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
Artigo de periodico
Efficient component-hypertree construction based on hierarchy of partitions (2020)
Morimitsu, Alexandre; Passat, Nicolas ; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio
Source: Pattern Recognition Letters. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
Artigo de periodico
Incremental bit-quads count in component trees: theory, algorithms, and optimization (2020)
Silva, Dênnis José da; Alves, Wonder Alexandre Luz ; Hashimoto, Ronaldo Fumio
Source: Pattern Recognition Letters. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 nov. 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 nov. 03 ] 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 nov. 03 ] Available from: https://doi.org/10.1016/j.patrec.2019.10.036
Trabalho de evento
Minimal component-hypertrees (2019)
Morimitsu, Alexandre; Alves, Wonder Alexandre Luz; Silva, Dennis Jose; Gobber, Charles Ferreira; Hashimoto, Ronaldo Fumio
Source: Proceedings. Conference titles: International Conference on Discrete Geometry for Computer Imagery - DGCI. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MORIMITSU, Alexandre et al. Minimal component-hypertrees. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-14085-4_22. Acesso em: 03 nov. 2024.
APA
Morimitsu, A., Alves, W. A. L., Silva, D. J., Gobber, C. F., & Hashimoto, R. F. (2019). Minimal component-hypertrees. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-14085-4_22
NLM
Morimitsu A, Alves WAL, Silva DJ, Gobber CF, Hashimoto RF. Minimal component-hypertrees [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_22
Vancouver
Morimitsu A, Alves WAL, Silva DJ, Gobber CF, Hashimoto RF. Minimal component-hypertrees [Internet]. Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-14085-4_22
Trabalho de evento
Ultimate levelings with strategy for filtering undesirable residues based on machine learning (2019)
Alves, Wonder Alexandre Luz ; Gobber, Charles Ferreira; Silva, Denis José da; Morimitsu, Alexandre; Hashimoto, Ronaldo Fumio ; Marcotegui, Beatriz
Source: Mathematical morphology and its applications to signal and image processing: Proceedings. Conference titles: International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing -ISMM. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, REGRESSÃO LINEAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVES, Wonder Alexandre Luz et al. Ultimate levelings with strategy for filtering undesirable residues based on machine learning. 2019, Anais.. Cham: Springer, 2019. Disponível em: https://doi.org/10.1007/978-3-030-20867-7_23. Acesso em: 03 nov. 2024.
APA
Alves, W. A. L., Gobber, C. F., Silva, D. J. da, Morimitsu, A., Hashimoto, R. F., & Marcotegui, B. (2019). Ultimate levelings with strategy for filtering undesirable residues based on machine learning. In Mathematical morphology and its applications to signal and image processing: Proceedings. Cham: Springer. doi:10.1007/978-3-030-20867-7_23
NLM
Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Ultimate levelings with strategy for filtering undesirable residues based on machine learning [Internet]. Mathematical morphology and its applications to signal and image processing: Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-20867-7_23
Vancouver
Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Ultimate levelings with strategy for filtering undesirable residues based on machine learning [Internet]. Mathematical morphology and its applications to signal and image processing: Proceedings. 2019 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1007/978-3-030-20867-7_23

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