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Artigo de periodico
Stability analysis of supervised decision boundary maps (2023)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: SN Computer Science. Unidades: IME, ICMC
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Stability analysis of supervised decision boundary maps. SN Computer Science, v. 4, n. artigo 226, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01662-4. Acesso em: 05 nov. 2024.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2023). Stability analysis of supervised decision boundary maps. SN Computer Science, 4( artigo 226), 1. doi:10.1007/s42979-022-01662-4
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. Stability analysis of supervised decision boundary maps [Internet]. SN Computer Science. 2023 ; 4( artigo 226): 1.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s42979-022-01662-4
Artigo de periodico
Visualizing high-dimensional functions with dense maps (2023)
Espadoto, Mateus ; Rodrigues, Francisco Caio Maia ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: SN Computer Science. Unidades: IME, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PESQUISA OPERACIONAL, REGRESSÃO, OTIMIZAÇÃO MATEMÁTICA
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ABNT
ESPADOTO, Mateus et al. Visualizing high-dimensional functions with dense maps. SN Computer Science, v. 4, n. artigo 230, p. 1, 2023Tradução . . Disponível em: https://doi.org/10.1007/s42979-022-01664-2. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2023). Visualizing high-dimensional functions with dense maps. SN Computer Science, 4( artigo 230), 1. doi:10.1007/s42979-022-01664-2
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Visualizing high-dimensional functions with dense maps [Internet]. SN Computer Science. 2023 ; 4( artigo 230): 1.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s42979-022-01664-2
Trabalho de evento
Modeling and interpreting 6-D object pose estimation (2023)
Soler, Diego Pavan ; Hirata Júnior, Roberto ; Espadoto, Mateus
Source: Proceedings. Conference titles: International Conference on Image Processing - ICIP. Unidade: IME
Subjects: PROCESSAMENTO DE IMAGENS, REDES NEURAIS, APRENDIZAGEM PROFUNDA
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ABNT
SOLER, Diego Pavan e HIRATA JÚNIOR, Roberto e ESPADOTO, Mateus. Modeling and interpreting 6-D object pose estimation. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICIP49359.2023.10223067. Acesso em: 05 nov. 2024.
APA
Soler, D. P., Hirata Júnior, R., & Espadoto, M. (2023). Modeling and interpreting 6-D object pose estimation. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP49359.2023.10223067
NLM
Soler DP, Hirata Júnior R, Espadoto M. Modeling and interpreting 6-D object pose estimation [Internet]. Proceedings. 2023 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ICIP49359.2023.10223067
Vancouver
Soler DP, Hirata Júnior R, Espadoto M. Modeling and interpreting 6-D object pose estimation [Internet]. Proceedings. 2023 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/ICIP49359.2023.10223067
Artigo de periodico
Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework (2023)
Garcia, Guilherme Pereira Bento ; Soares, Lucas ; Espadoto, Mateus ; Grohmann, Carlos Henrique
Source: International Journal of Remote Sensing. Unidades: IEE, IGC, IME
Subjects: DESLIZAMENTO DE TERRA, SENSORIAMENTO REMOTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GARCIA, Guilherme Pereira Bento et al. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, n. , p. 2168-2195, 2023Tradução . . Disponível em: https://doi.org/10.1080/01431161.2023.2197130. Acesso em: 05 nov. 2024.
APA
Garcia, G. P. B., Soares, L., Espadoto, M., & Grohmann, C. H. (2023). Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework. International Journal of Remote Sensing, ( ), 2168-2195. doi:10.1080/01431161.2023.2197130
NLM
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Vancouver
Garcia GPB, Soares L, Espadoto M, Grohmann CH. Relict landslide detection using deep-learning architectures for image segmentation in rainforest areas: a new framework [Internet]. International Journal of Remote Sensing. 2023 ;( ): 2168-2195.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1080/01431161.2023.2197130
Trabalho de evento
Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies (2023)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics - VISIGRAPP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-25477-2_7. Acesso em: 05 nov. 2024.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., Hirata, N. S. T., & Telea, A. C. (2023). Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-25477-2_7
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Hirata NST, Telea AC. Improving self-supervised dimensionality reduction: exploring hyperparameters and pseudo-labeling strategies [Internet]. Proceedings. 2023 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-031-25477-2_7
Trabalho de evento
SDBM: Supervised Decision Boundary Maps for machine learning classifiers (2022)
Oliveira, Artur André Almeida de Macedo ; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - IVAPP. Unidade: IME
Assunto: APRENDIZADO COMPUTACIONAL
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ABNT
OLIVEIRA, Artur André Almeida de Macedo et al. SDBM: Supervised Decision Boundary Maps for machine learning classifiers. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010896200003124. Acesso em: 05 nov. 2024.
APA
Oliveira, A. A. A. de M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2022). SDBM: Supervised Decision Boundary Maps for machine learning classifiers. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010896200003124
NLM
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010896200003124
Vancouver
Oliveira AAA de M, Espadoto M, Hirata Júnior R, Telea AC. SDBM: Supervised Decision Boundary Maps for machine learning classifiers [Internet]. Proceedings. 2022 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0010896200003124
Trabalho de evento
Improving deep learning projections by neighborhood analysis (2022)
Modrakowski, Terri S ; Espadoto, Mateus ; Falcão, Alexandre Xavier ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics - VISIGRAPP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS
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ABNT
MODRAKOWSKI, Terri S et al. Improving deep learning projections by neighborhood analysis. 2022, Anais.. Cham: Springer, 2022. Disponível em: https://doi.org/10.1007/978-3-030-94893-1_6. Acesso em: 05 nov. 2024.
APA
Modrakowski, T. S., Espadoto, M., Falcão, A. X., Hirata, N. S. T., & Telea, A. C. (2022). Improving deep learning projections by neighborhood analysis. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-94893-1_6
NLM
Modrakowski TS, Espadoto M, Falcão AX, Hirata NST, Telea AC. Improving deep learning projections by neighborhood analysis [Internet]. Proceedings. 2022 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-94893-1_6
Vancouver
Modrakowski TS, Espadoto M, Falcão AX, Hirata NST, Telea AC. Improving deep learning projections by neighborhood analysis [Internet]. Proceedings. 2022 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-94893-1_6
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
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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
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
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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
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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
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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
Trabalho de evento
Improving neural network-based multidimensional projections (2020)
Espadoto, Mateus ; Hirata, Nina Sumiko Tomita ; Falcão, Alexandre Xavier ; 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 et al. Improving neural network-based multidimensional projections. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008877200290041. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Hirata, N. S. T., Falcão, A. X., & Telea, A. C. (2020). Improving neural network-based multidimensional projections. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008877200290041
NLM
Espadoto M, Hirata NST, Falcão AX, Telea AC. Improving neural network-based multidimensional projections [Internet]. Proceedings. 2020 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0008877200290041
Vancouver
Espadoto M, Hirata NST, Falcão AX, Telea AC. Improving neural network-based multidimensional projections [Internet]. Proceedings. 2020 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0008877200290041
Trabalho de evento
Deep learning for astronomical object classification: a case study (2020)
Martinazzo, Ana Carolina Rodrigues Cavalcante; Espadoto, Mateus ; Hirata, Nina Sumiko Tomita
Source: Proceedings. Conference titles: International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: IME
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINAZZO, Ana Carolina Rodrigues Cavalcante e ESPADOTO, Mateus e HIRATA, Nina Sumiko Tomita. Deep learning for astronomical object classification: a case study. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008939800870095. Acesso em: 05 nov. 2024.
APA
Martinazzo, A. C. R. C., Espadoto, M., & Hirata, N. S. T. (2020). Deep learning for astronomical object classification: a case study. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008939800870095
NLM
Martinazzo ACRC, Espadoto M, Hirata NST. Deep learning for astronomical object classification: a case study [Internet]. Proceedings. 2020 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0008939800870095
Vancouver
Martinazzo ACRC, Espadoto M, Hirata NST. Deep learning for astronomical object classification: a case study [Internet]. Proceedings. 2020 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.5220/0008939800870095
Artigo de periodico
Deep learning multidimensional projections (2020)
Espadoto, Mateus ; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Information Visualization. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA
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. Deep learning multidimensional projections. Information Visualization, v. 19, n. 3, p. 247-269, 2020Tradução . . Disponível em: https://doi.org/10.1177/1473871620909485. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Hirata, N. S. T., & Telea, A. C. (2020). Deep learning multidimensional projections. Information Visualization, 19( 3), 247-269. doi:10.1177/1473871620909485
NLM
Espadoto M, Hirata NST, Telea AC. Deep learning multidimensional projections [Internet]. Information Visualization. 2020 ; 19( 3): 247-269.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1177/1473871620909485
Vancouver
Espadoto M, Hirata NST, Telea AC. Deep learning multidimensional projections [Internet]. Information Visualization. 2020 ; 19( 3): 247-269.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1177/1473871620909485
Trabalho de evento
Deep learning inverse multidimensional projections (2019)
Espadoto, Mateus ; Rodrigues, Francisco C. M.; Hirata, Nina Sumiko Tomita ; Telea, Alexandru Cristian
Source: Proceedings. Conference titles: EuroVis Workshop on Visual Analytics - EuroVA. Unidade: IME
Assunto: APRENDIZAGEM PROFUNDA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ESPADOTO, Mateus et al. Deep learning inverse multidimensional projections. 2019, Anais.. Geneve: Eurographics Association, 2019. Disponível em: https://doi.org/10.2312/eurova.20191118. Acesso em: 05 nov. 2024.
APA
Espadoto, M., Rodrigues, F. C. M., Hirata, N. S. T., & Telea, A. C. (2019). Deep learning inverse multidimensional projections. In Proceedings. Geneve: Eurographics Association. doi:10.2312/eurova.20191118
NLM
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Deep learning inverse multidimensional projections [Internet]. Proceedings. 2019 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.2312/eurova.20191118
Vancouver
Espadoto M, Rodrigues FCM, Hirata NST, Telea AC. Deep learning inverse multidimensional projections [Internet]. Proceedings. 2019 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.2312/eurova.20191118
Artigo de periodico
Constructing and visualizing high-quality classifier decision boundary maps (2019)
Rodrigues, Francisco C. M.; Espadoto, Mateus ; Hirata Júnior, Roberto ; Telea, Alexandru Cristian
Source: Information. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RODRIGUES, Francisco C. M. et al. Constructing and visualizing high-quality classifier decision boundary maps. Information, v. 10, n. 9, p. 1-22, 2019Tradução . . Disponível em: https://doi.org/10.3390/info10090280. Acesso em: 05 nov. 2024.
APA
Rodrigues, F. C. M., Espadoto, M., Hirata Júnior, R., & Telea, A. C. (2019). Constructing and visualizing high-quality classifier decision boundary maps. Information, 10( 9), 1-22. doi:10.3390/info10090280
NLM
Rodrigues FCM, Espadoto M, Hirata Júnior R, Telea AC. Constructing and visualizing high-quality classifier decision boundary maps [Internet]. Information. 2019 ; 10( 9): 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/info10090280
Vancouver
Rodrigues FCM, Espadoto M, Hirata Júnior R, Telea AC. Constructing and visualizing high-quality classifier decision boundary maps [Internet]. Information. 2019 ; 10( 9): 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/info10090280

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