ReP USP - Resultado da busca

Trabalho de evento
OptMap: using dense maps for visualizing multidimensional optimization problems (2021)
Espadoto, Mateus ; Rodrigues, Francisco Caio Maia ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus et al. OptMap: using dense maps for visualizing multidimensional optimization problems. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010288501230132. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2021). OptMap: using dense maps for visualizing multidimensional optimization problems. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010288501230132
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010288501230132
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. OptMap: using dense maps for visualizing multidimensional optimization problems [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010288501230132
Artigo de periodico
Toward a quantitative survey of dimension reduction techniques (2021)
Espadoto, Mateus ; Martins, Rafael M. ; Kerren, Andreas ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: IME
Subjects: BENCHMARKING, APRENDIZADO COMPUTACIONAL, ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus et al. Toward a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 3, p. 2153-2173, 2021Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2019.2944182. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2021). Toward a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27( 3), 2153-2173. doi:10.1109/TVCG.2019.2944182
NLM
Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Toward a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/TVCG.2019.2944182
Vancouver
Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Toward a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/TVCG.2019.2944182
Trabalho de evento
Self-supervised learning for astronomical image classification (2021)
Martinazzo, Ana Carolina Rodrigues Cavalcante; Espadoto, Mateus ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZADO COMPUTACIONAL, ASTRONOMIA
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ABNT
MARTINAZZO, Ana Carolina Rodrigues Cavalcante e ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita. Self-supervised learning for astronomical image classification. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICPR48806.2021.9412911. Acesso em: 05 nov. 2024.
APA
Martinazzo, A. C. R. C., Espadoto, M., & Hirata, N. S. T. (2021). Self-supervised learning for astronomical image classification. In Proceedings. Piscataway: IEEE. doi:10.1109/ICPR48806.2021.9412911
NLM
Martinazzo ACRC, Espadoto M, Hirata NST. Self-supervised learning for astronomical image classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ICPR48806.2021.9412911
Vancouver
Martinazzo ACRC, Espadoto M, Hirata NST. Self-supervised learning for astronomical image classification [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ICPR48806.2021.9412911
Trabalho de evento
Self-supervised dimensionality reduction with neural networks and pseudo-labeling (2021)
Espadoto, Mateus ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita e TELEA, Alexandru Cristian. Self-supervised dimensionality reduction with neural networks and pseudo-labeling. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010184800270037. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Hirata, N. S. T., & Telea, A. C. (2021). Self-supervised dimensionality reduction with neural networks and pseudo-labeling. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010184800270037
NLM
Espadoto M, Hirata NST, Telea AC. Self-supervised dimensionality reduction with neural networks and pseudo-labeling [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010184800270037
Vancouver
Espadoto M, Hirata NST, Telea AC. Self-supervised dimensionality reduction with neural networks and pseudo-labeling [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010184800270037
Tese (Doutorado)
Learning multidimensional projections with neural networks (2021)
Espadoto, Mateus ; Hirata, Nina Sumiko Tomita (Orientador)
Unidade: IME
Assunto: REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus. Learning multidimensional projections with neural networks. 2021. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2021. Disponível em: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082022-101314/. Acesso em: 05 nov. 2024.
APA
Espadoto, M. (2021). Learning multidimensional projections with neural networks (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082022-101314/
NLM
Espadoto M. Learning multidimensional projections with neural networks [Internet]. 2021 ;[citado 2024 nov. 05 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082022-101314/
Vancouver
Espadoto M. Learning multidimensional projections with neural networks [Internet]. 2021 ;[citado 2024 nov. 05 ] Available from: https://www.teses.usp.br/teses/disponiveis/45/45134/tde-29082022-101314/
Artigo de periodico
Towards a quantitative survey of dimension reduction techniques (2021)
Espadoto, Mateus ; Martins, Rafael M.; Kerren, Andreas ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus et al. Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, v. 27, n. 3, p. 2153-2173, 2021Tradução . . Disponível em: https://doi.org/10.1109/tvcg.2019.2944182. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S. T., & Telea, A. C. (2021). Towards a quantitative survey of dimension reduction techniques. IEEE Transactions on Visualization and Computer Graphics, 27( 3), 2153-2173. doi:10.1109/tvcg.2019.2944182
NLM
Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182
Vancouver
Espadoto M, Martins RM, Kerren A, Hirata NST, Telea AC. Towards a quantitative survey of dimension reduction techniques [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2021 ; 27( 3): 2153-2173.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182
Artigo de periodico
On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 (2021)
Nakazono, Lilianne Mariko Izuti ; Oliveira, C. Mendes de ; Hirata, Nina Sumiko Tomita ; Jeram, Sarik ; Queiroz, C. ; Eikenberry, Stephen ; Gonzalez, Anthony H. ; Abramo, Luis Raul Weber ; Overzier, Roderik ; Espadoto, Mateus ; Martinazzo, Ana Carolina Rodrigues Cavalcante; Sampedro, Laura ; Herpich, Fábio Rafael ; Fernandes, Felipe de Almeida ; Werle, Ariel ; Barbosa, Carlos Eduardo ; Sodre Junior, Laerte ; Lima, E V; Buzzo, Maria Luisa Gomes ; Cortesi, Arianna ; Menendez-Delmestre, Karin ; Akras, Stavros ; Alvarez-Candal, Alvaro ; Lopes, A R; Telles, Eduardo ; Schoenell, William ; Kanaan, Antonio ; Ribeiro, T
Source: Monthly Notices of the Royal Astronomical Society. Unidades: IAG, IME, IF
Subjects: AGLOMERADOS DE GALÁXIAS, QUASARES, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAKAZONO, Lilianne Mariko Izuti et al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, v. 507, n. 4, p. 5847-5868, 2021Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab1835. Acesso em: 05 nov. 2024.
APA
Nakazono, L. M. I., Oliveira, C. M. de, Hirata, N. S. T., Jeram, S., Queiroz, C., Eikenberry, S., et al. (2021). On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, 507( 4), 5847-5868. doi:10.1093/mnras/stab1835
NLM
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1093/mnras/stab1835
Vancouver
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1093/mnras/stab1835

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