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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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00036
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Tese (Doutorado)
Features transfer learning between domains for image and video recognition tasks (2020)
Santos, Fernando Pereira dos ; Ponti, Moacir Antonelli (Orientador)
Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TRANSFERÊNCIA (APRENDIZAGEM), CONHECIMENTO, GENERALIZAÇÃO (APRENDIZAGEM)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos. Features transfer learning between domains for image and video recognition tasks. 2020. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032020-083537/. Acesso em: 25 abr. 2026.
APA
Santos, F. P. dos. (2020). Features transfer learning between domains for image and video recognition tasks (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032020-083537/
NLM
Santos FP dos. Features transfer learning between domains for image and video recognition tasks [Internet]. 2020 ;[citado 2026 abr. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032020-083537/
Vancouver
Santos FP dos. Features transfer learning between domains for image and video recognition tasks [Internet]. 2020 ;[citado 2026 abr. 25 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032020-083537/
Artigo de periodico
Learning image features with fewer labels using a semi-supervised deep convolutional network (2020)
Santos, Fernando Pereira dos ; Zor, Cemre ; Kittler, Josef ; Ponti, Moacir Antonelli
Source: Neural Networks. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos et al. Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, v. 132, p. 131-143, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neunet.2020.08.016. Acesso em: 25 abr. 2026.
APA
Santos, F. P. dos, Zor, C., Kittler, J., & Ponti, M. A. (2020). Learning image features with fewer labels using a semi-supervised deep convolutional network. Neural Networks, 132, 131-143. doi:10.1016/j.neunet.2020.08.016
NLM
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Vancouver
Santos FP dos, Zor C, Kittler J, Ponti MA. Learning image features with fewer labels using a semi-supervised deep convolutional network [Internet]. Neural Networks. 2020 ; 132 131-143.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1016/j.neunet.2020.08.016
Trabalho de evento
Features transfer learning for image and video recognition tasks (2020)
Santos, Fernando Pereira dos ; Ponti, Moacir Antonelli
Source: Anais estendidos. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos e PONTI, Moacir Antonelli. Features transfer learning for image and video recognition tasks. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/12980. Acesso em: 25 abr. 2026.
APA
Santos, F. P. dos, & Ponti, M. A. (2020). Features transfer learning for image and video recognition tasks. In Anais estendidos. Porto Alegre: SBC. Recuperado de https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/12980
NLM
Santos FP dos, Ponti MA. Features transfer learning for image and video recognition tasks [Internet]. Anais estendidos. 2020 ;[citado 2026 abr. 25 ] Available from: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/12980
Vancouver
Santos FP dos, Ponti MA. Features transfer learning for image and video recognition tasks [Internet]. Anais estendidos. 2020 ;[citado 2026 abr. 25 ] Available from: https://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/12980
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 25 abr. 2026.
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 2026 abr. 25 ] 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 2026 abr. 25 ] Available from: https://doi.org/10.1109/SIBGRAPI.2019.00040
Trabalho de evento-anais periodico
Homogeneity index as stopping criterion for anisotropic diffusion filter (2019)
Santos, Fernando Pereira dos ; Ponti, Moacir Antonelli
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos e PONTI, Moacir Antonelli. Homogeneity index as stopping criterion for anisotropic diffusion filter. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29891-3_24. Acesso em: 25 abr. 2026. , 2019
APA
Santos, F. P. dos, & Ponti, M. A. (2019). Homogeneity index as stopping criterion for anisotropic diffusion filter. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-29891-3_24
NLM
Santos FP dos, Ponti MA. Homogeneity index as stopping criterion for anisotropic diffusion filter [Internet]. Lecture Notes in Computer Science. 2019 ; 11679 269-280.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_24
Vancouver
Santos FP dos, Ponti MA. Homogeneity index as stopping criterion for anisotropic diffusion filter [Internet]. Lecture Notes in Computer Science. 2019 ; 11679 269-280.[citado 2026 abr. 25 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_24

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