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Trabalho de evento
BoCS: image retrieval using explicable methods (2023)
Silva, Endi Daniel Coelho; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: GERENCIADORES DE BANCO DE DADOS, RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM
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ABNT
SILVA, Endi Daniel Coelho e TRAINA, Agma Juci Machado. BoCS: image retrieval using explicable methods. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171. Acesso em: 05 jul. 2024.
APA
Silva, E. D. C., & Traina, A. J. M. (2023). BoCS: image retrieval using explicable methods. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347171
NLM
Silva EDC, Traina AJM. BoCS: image retrieval using explicable methods [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171
Vancouver
Silva EDC, Traina AJM. BoCS: image retrieval using explicable methods [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347171
Trabalho de evento
Bearing failure prognostics using recurrent neural networks: a spectral data based architecture (2023)
Cosin, Renato ; Ribeiro, Leo Sampaio Ferraz ; Branco, Kalinka Regina Lucas Jaquie Castelo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, REDES NEURAIS, ROLAMENTOS, MANUTENÇÃO PREDITIVA
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ABNT
COSIN, Renato e RIBEIRO, Leo Sampaio Ferraz e BRANCO, Kalinka Regina Lucas Jaquie Castelo. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179. Acesso em: 05 jul. 2024.
APA
Cosin, R., Ribeiro, L. S. F., & Branco, K. R. L. J. C. (2023). Bearing failure prognostics using recurrent neural networks: a spectral data based architecture. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347179
NLM
Cosin R, Ribeiro LSF, Branco KRLJC. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179
Vancouver
Cosin R, Ribeiro LSF, Branco KRLJC. Bearing failure prognostics using recurrent neural networks: a spectral data based architecture [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347179
Trabalho de evento
Unsupervised image segmentation by oriented image foresting transform in layered graphs (2023)
Kleine, Felipe A. S ; Santos, Luiz Felipe Dolabela; Cappabianco, Fabio A. M ; Miranda, Paulo André Vechiatto de
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
KLEINE, Felipe A. S et al. Unsupervised image segmentation by oriented image foresting transform in layered graphs. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172. Acesso em: 05 jul. 2024.
APA
Kleine, F. A. S., Santos, L. F. D., Cappabianco, F. A. M., & Miranda, P. A. V. de. (2023). Unsupervised image segmentation by oriented image foresting transform in layered graphs. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI59091.2023.10347172
NLM
Kleine FAS, Santos LFD, Cappabianco FAM, Miranda PAV de. Unsupervised image segmentation by oriented image foresting transform in layered graphs [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172
Vancouver
Kleine FAS, Santos LFD, Cappabianco FAM, Miranda PAV de. Unsupervised image segmentation by oriented image foresting transform in layered graphs [Internet]. Proceedings. 2023 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI59091.2023.10347172
Trabalho de evento
Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals (2022)
Ferrante, Gabriel Souto ; Nakamura, Luis Hideo Vasconcelos ; Andrade, Fernando Roberto Hebeler; Rocha Filho, Geraldo Pereira ; Grande, Robson E. De ; Meneguette, Rodolfo Ipolito
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, ANÁLISE DE DESEMPENHO, POPULAÇÕES ANIMAIS, RODOVIAS
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ABNT
FERRANTE, Gabriel Souto et al. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774. Acesso em: 05 jul. 2024.
APA
Ferrante, G. S., Nakamura, L. H. V., Andrade, F. R. H., Rocha Filho, G. P., Grande, R. E. D., & Meneguette, R. I. (2022). Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991774
NLM
Ferrante GS, Nakamura LHV, Andrade FRH, Rocha Filho GP, Grande RED, Meneguette RI. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774
Vancouver
Ferrante GS, Nakamura LHV, Andrade FRH, Rocha Filho GP, Grande RED, Meneguette RI. Brazilian Road's Animals (BRA): an image dataset of most commonly run over animals [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991774
Trabalho de evento
Visualization for machine learning (2022)
Xenopoulos, Peter ; Nonato, Luis Gustavo ; Silva, Claudio
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, ANÁLISE DE DADOS
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ABNT
XENOPOULOS, Peter e NONATO, Luis Gustavo e SILVA, Claudio. Visualization for machine learning. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759. Acesso em: 05 jul. 2024.
APA
Xenopoulos, P., Nonato, L. G., & Silva, C. (2022). Visualization for machine learning. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991759
NLM
Xenopoulos P, Nonato LG, Silva C. Visualization for machine learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759
Vancouver
Xenopoulos P, Nonato LG, Silva C. Visualization for machine learning [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991759
Trabalho de evento
Counting Particles: a simple and fast surface reconstruction method for particle-based fluids (2022)
Quispe, Filomen Incahuanaco ; Paiva, Afonso
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: DINÂMICA DOS FLUÍDOS COMPUTACIONAL, SUPERFÍCIES
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ABNT
QUISPE, Filomen Incahuanaco e PAIVA, Afonso. Counting Particles: a simple and fast surface reconstruction method for particle-based fluids. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991770. Acesso em: 05 jul. 2024.
APA
Quispe, F. I., & Paiva, A. (2022). Counting Particles: a simple and fast surface reconstruction method for particle-based fluids. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991770
NLM
Quispe FI, Paiva A. Counting Particles: a simple and fast surface reconstruction method for particle-based fluids [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991770
Vancouver
Quispe FI, Paiva A. Counting Particles: a simple and fast surface reconstruction method for particle-based fluids [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991770
Trabalho de evento
CityHub: a library for urban data integration (2022)
Salinas, Karelia Alexandra Vilca ; Gonçalves, Thales; Barella, Victor Hugo ; Vieira, Thales ; Nonato, Luis Gustavo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: BIG DATA, FERRAMENTAS, VISUALIZAÇÃO, ZONA URBANA
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ABNT
SALINAS, Karelia Alexandra Vilca et al. CityHub: a library for urban data integration. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.1109/SIBGRAPI55357.2022.9991775. Acesso em: 05 jul. 2024.
APA
Salinas, K. A. V., Gonçalves, T., Barella, V. H., Vieira, T., & Nonato, L. G. (2022). CityHub: a library for urban data integration. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI55357.2022.9991775
NLM
Salinas KAV, Gonçalves T, Barella VH, Vieira T, Nonato LG. CityHub: a library for urban data integration [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991775
Vancouver
Salinas KAV, Gonçalves T, Barella VH, Vieira T, Nonato LG. CityHub: a library for urban data integration [Internet]. Proceedings. 2022 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI55357.2022.9991775
Trabalho de evento
Training deep networks from zero to hero: avoiding pitfalls and going beyond (2021)
Ponti, Moacir Antonelli ; Santos, Fernando Pereira dos ; Ribeiro, Leo Sampaio Ferraz ; Cavallari, Gabriel Biscaro
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
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ABNT
PONTI, Moacir Antonelli et al. Training deep networks from zero to hero: avoiding pitfalls and going beyond. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00011. Acesso em: 05 jul. 2024.
APA
Ponti, M. A., Santos, F. P. dos, Ribeiro, L. S. F., & Cavallari, G. B. (2021). Training deep networks from zero to hero: avoiding pitfalls and going beyond. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00011
NLM
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Vancouver
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Trabalho de evento
Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack (2021)
Cavallari, Gabriel Biscaro; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
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ABNT
CAVALLARI, Gabriel Biscaro e PONTI, Moacir Antonelli. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00038. Acesso em: 05 jul. 2024.
APA
Cavallari, G. B., & Ponti, M. A. (2021). Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00038
NLM
Cavallari GB, Ponti MA. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00038
Vancouver
Cavallari GB, Ponti MA. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00038
Trabalho de evento
DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content (2021)
Pocco, Ximena; Poco, Jorge ; Paula, Rogerio de; Nonato, Luis Gustavo ; Gomez-Nieto, Erick Mauricio
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, VISUALIZAÇÃO, RECUPERAÇÃO DA INFORMAÇÃO
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ABNT
POCCO, Ximena et al. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00027. Acesso em: 05 jul. 2024.
APA
Pocco, X., Poco, J., Paula, R. de, Nonato, L. G., & Gomez-Nieto, E. M. (2021). DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00027
NLM
Pocco X, Poco J, Paula R de, Nonato LG, Gomez-Nieto EM. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00027
Vancouver
Pocco X, Poco J, Paula R de, Nonato LG, Gomez-Nieto EM. DRIFT: a visual analytic tool for scientific literature exploration based on textual and image content [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00027
Trabalho de evento
Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling (2021)
Santos, Fernando Pereira dos ; Thumé, Gabriela Salvador; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL
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ABNT
SANTOS, Fernando Pereira dos e THUMÉ, Gabriela Salvador e PONTI, Moacir Antonelli. Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00036. Acesso em: 05 jul. 2024.
APA
Santos, F. P. dos, Thumé, G. S., & Ponti, M. A. (2021). Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00036
NLM
Santos FP dos, Thumé GS, Ponti MA. Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00036
Vancouver
Santos FP dos, Thumé GS, Ponti MA. Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00036
Trabalho de evento
Automatic segmentation of posterior fossa structures in pediatric brain MRIs (2021)
Oliveira, Hugo ; Dias, Larissa de Oliveira Penteado ; Pimenta, José Luiz Maciel ; Ferraciolli, Suely Fazio ; Takahashi, Marcelo Straus ; Bloch, Isabelle ; César Júnior, Roberto Marcondes
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidades: IME, FM
Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZAGEM PROFUNDA
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ABNT
OLIVEIRA, Hugo et al. Automatic segmentation of posterior fossa structures in pediatric brain MRIs. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00025. Acesso em: 05 jul. 2024.
APA
Oliveira, H., Dias, L. de O. P., Pimenta, J. L. M., Ferraciolli, S. F., Takahashi, M. S., Bloch, I., & César Júnior, R. M. (2021). Automatic segmentation of posterior fossa structures in pediatric brain MRIs. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI54419.2021.00025
NLM
Oliveira H, Dias L de OP, Pimenta JLM, Ferraciolli SF, Takahashi MS, Bloch I, César Júnior RM. Automatic segmentation of posterior fossa structures in pediatric brain MRIs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00025
Vancouver
Oliveira H, Dias L de OP, Pimenta JLM, Ferraciolli SF, Takahashi MS, Bloch I, César Júnior RM. Automatic segmentation of posterior fossa structures in pediatric brain MRIs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00025
Trabalho de evento
Mirante: a visualization tool for analyzing urban crimes (2020)
Garcia-Zanabria, Germain ; Gomez-Nieto, Erick Mauricio ; Silveira, Jaqueline Alvarenga ; Poco, Jorge ; Nery, Marcelo Batista ; Adorno, Sérgio ; Nonato, Luis Gustavo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidades: IEA, FFLCH, ICMC
Subjects: CRIME, ZONA URBANA, SEGURANÇA PÚBLICA
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ABNT
GARCIA-ZANABRIA, Germain et al. Mirante: a visualization tool for analyzing urban crimes. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/SIBGRAPI51738.2020.00028. Acesso em: 05 jul. 2024.
APA
Garcia-Zanabria, G., Gomez-Nieto, E. M., Silveira, J. A., Poco, J., Nery, M. B., Adorno, S., & Nonato, L. G. (2020). Mirante: a visualization tool for analyzing urban crimes. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI51738.2020.00028
NLM
Garcia-Zanabria G, Gomez-Nieto EM, Silveira JA, Poco J, Nery MB, Adorno S, Nonato LG. Mirante: a visualization tool for analyzing urban crimes [Internet]. Proceedings. 2020 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00028
Vancouver
Garcia-Zanabria G, Gomez-Nieto EM, Silveira JA, Poco J, Nery MB, Adorno S, Nonato LG. Mirante: a visualization tool for analyzing urban crimes [Internet]. Proceedings. 2020 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00028
Trabalho de evento
Multi-level graph label propagation for image segmentation (2020)
Belizario, Ivar Vargas ; Batista Neto, João do Espírito Santo
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA
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ABNT
BELIZARIO, Ivar Vargas e BATISTA NETO, João do Espírito Santo. Multi-level graph label propagation for image segmentation. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/SIBGRAPI51738.2020.00034. Acesso em: 05 jul. 2024.
APA
Belizario, I. V., & Batista Neto, J. do E. S. (2020). Multi-level graph label propagation for image segmentation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI51738.2020.00034
NLM
Belizario IV, Batista Neto J do ES. Multi-level graph label propagation for image segmentation [Internet]. Proceedings. 2020 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00034
Vancouver
Belizario IV, Batista Neto J do ES. Multi-level graph label propagation for image segmentation [Internet]. Proceedings. 2020 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI51738.2020.00034
Trabalho de evento
PursuitPass: a visual pursuit-based user authentication system (2019)
Carneiro, Alex Torquato Souza; Elmadjian, Carlos Eduardo Leão; Gonzales, Candy Veronica Tenório; Coutinho, Flávio Luíz; Morimoto, Carlos Hitoshi
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidades: EACH, IME
Subjects: RECONHECIMENTO DE PADRÕES, SEGURANÇA DE COMPUTADORES
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ABNT
CARNEIRO, Alex Torquato Souza et al. PursuitPass: a visual pursuit-based user authentication system. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/SIBGRAPI.2019.00038. Acesso em: 05 jul. 2024.
APA
Carneiro, A. T. S., Elmadjian, C. E. L., Gonzales, C. V. T., Coutinho, F. L., & Morimoto, C. H. (2019). PursuitPass: a visual pursuit-based user authentication system. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2019.00038
NLM
Carneiro ATS, Elmadjian CEL, Gonzales CVT, Coutinho FL, Morimoto CH. PursuitPass: a visual pursuit-based user authentication system [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00038
Vancouver
Carneiro ATS, Elmadjian CEL, Gonzales CVT, Coutinho FL, Morimoto CH. PursuitPass: a visual pursuit-based user authentication system [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00038
Trabalho de evento
Optimizing super resolution for face recognition (2019)
Abello, Antonio Augusto; Hirata Júnior, Roberto
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS
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ABNT
ABELLO, Antonio Augusto e HIRATA JÚNIOR, Roberto. Optimizing super resolution for face recognition. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/SIBGRAPI.2019.00034. Acesso em: 05 jul. 2024.
APA
Abello, A. A., & Hirata Júnior, R. (2019). Optimizing super resolution for face recognition. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2019.00034
NLM
Abello AA, Hirata Júnior R. Optimizing super resolution for face recognition [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00034
Vancouver
Abello AA, Hirata Júnior R. Optimizing super resolution for face recognition [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00034
Trabalho de evento
Alignment of local and global features from multiple layers of convolutional neural network for image classification (2019)
Santos, Fernando Pereira dos ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE IMAGEM
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ABNT
SANTOS, Fernando Pereira dos e PONTI, Moacir Antonelli. Alignment of local and global features from multiple layers of convolutional neural network for image classification. 2019, Anais.. Los Alamitos: IEEE, 2019. Disponível em: https://doi.org/10.1109/SIBGRAPI.2019.00040. Acesso em: 05 jul. 2024.
APA
Santos, F. P. dos, & Ponti, M. A. (2019). Alignment of local and global features from multiple layers of convolutional neural network for image classification. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2019.00040
NLM
Santos FP dos, Ponti MA. Alignment of local and global features from multiple layers of convolutional neural network for image classification [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00040
Vancouver
Santos FP dos, Ponti MA. Alignment of local and global features from multiple layers of convolutional neural network for image classification [Internet]. Proceedings. 2019 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00040
Trabalho de evento
Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks (2018)
Nazaré, Tiago Santana de ; Costa, Gabriel B. Paranhos da; Mello, Rodrigo Fernandes de; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAZARÉ, Tiago Santana de et al. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SIBGRAPI.2018.00053. Acesso em: 05 jul. 2024.
APA
Nazaré, T. S. de, Costa, G. B. P. da, Mello, R. F. de, & Ponti, M. A. (2018). Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2018.00053
NLM
Nazaré TS de, Costa GBP da, Mello RF de, Ponti MA. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00053
Vancouver
Nazaré TS de, Costa GBP da, Mello RF de, Ponti MA. Color quantization in transfer learning and noisy scenarios: an empirical analysis using convolutional networks [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00053
Trabalho de evento
The shape of the game (2018)
Coimbra, Danilo B; Tiburtino, Tacito; Telea, Alexandru C; Paulovich, Fernando Vieira
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: WORLD WIDE WEB, MULTIMÍDIA INTERATIVA, RECONHECIMENTO DE IMAGEM, RECUPERAÇÃO DA INFORMAÇÃO, APRESENTAÇÃO DE INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COIMBRA, Danilo B et al. The shape of the game. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SIBGRAPI.2018.00024. Acesso em: 05 jul. 2024.
APA
Coimbra, D. B., Tiburtino, T., Telea, A. C., & Paulovich, F. V. (2018). The shape of the game. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2018.00024
NLM
Coimbra DB, Tiburtino T, Telea AC, Paulovich FV. The shape of the game [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00024
Vancouver
Coimbra DB, Tiburtino T, Telea AC, Paulovich FV. The shape of the game [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00024
Trabalho de evento
Robust feature spaces from pre-trained deep network layers for skin lesion classification (2018)
Santos, Fernando Pereira dos ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: TECNOLOGIAS DA SAÚDE, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, NEOPLASIAS CUTÂNEAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos e PONTI, Moacir Antonelli. Robust feature spaces from pre-trained deep network layers for skin lesion classification. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/SIBGRAPI.2018.00031. Acesso em: 05 jul. 2024.
APA
Santos, F. P. dos, & Ponti, M. A. (2018). Robust feature spaces from pre-trained deep network layers for skin lesion classification. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI.2018.00031
NLM
Santos FP dos, Ponti MA. Robust feature spaces from pre-trained deep network layers for skin lesion classification [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00031
Vancouver
Santos FP dos, Ponti MA. Robust feature spaces from pre-trained deep network layers for skin lesion classification [Internet]. Proceedings. 2018 ;[citado 2024 jul. 05 ] Available from: https://doi.org/10.1109/SIBGRAPI.2018.00031

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