ReP USP - Resultado da busca

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: 14 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. 14 ] 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. 14 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 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. 14 ] 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. 14 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 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. 14 ] 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. 14 ] 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
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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1109/TVCG.2019.2944182
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.5220/0010184800270037
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1109/tvcg.2019.2944182
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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.5220/0008877200290041
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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.3390/info10090280

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