ReP USP - Resultado da busca

Artigo de periodico
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets (2024)
Spolaôr, Newton ; Lee, Huei Diana ; Mendes, Ana Isabel; Nogueira, Conceição Veloso; Parmezan, Antonio Rafael Sabino ; Takaki, Weber Shoity Resende ; Coy, Claudio Saddy Rodrigues ; Wu, Feng Chung; Fonseca-Pinto, Rui
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, NEOPLASIAS CUTÂNEAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPOLAÔR, Newton et al. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, v. 83, n. 9, p. 27305-27329, 2024Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-16529-w. Acesso em: 11 nov. 2025.
APA
Spolaôr, N., Lee, H. D., Mendes, A. I., Nogueira, C. V., Parmezan, A. R. S., Takaki, W. S. R., et al. (2024). Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets. Multimedia Tools and Applications, 83( 9), 27305-27329. doi:10.1007/s11042-023-16529-w
NLM
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Vancouver
Spolaôr N, Lee HD, Mendes AI, Nogueira CV, Parmezan ARS, Takaki WSR, Coy CSR, Wu FC, Fonseca-Pinto R. Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets [Internet]. Multimedia Tools and Applications. 2024 ; 83( 9): 27305-27329.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-023-16529-w
Artigo de periodico
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task (2023)
Ribeiro, Leo Sampaio Ferraz ; Bui, Tu ; Collomosse, John ; Ponti, Moacir Antonelli
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Leo Sampaio Ferraz et al. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, v. 82, n. 24, p. 38117-38139, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-14282-0. Acesso em: 11 nov. 2025.
APA
Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. A. (2023). Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, 82( 24), 38117-38139. doi:10.1007/s11042-022-14282-0
NLM
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Vancouver
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Artigo de periodico
Multimodal early fusion operators for temporal video scene segmentation tasks (2023)
Beserra, Antonio Alessandro Rocha ; Goularte, Rudinei
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: MULTIMÍDIA, RECONHECIMENTO DE IMAGEM, VÍDEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BESERRA, Antonio Alessandro Rocha e GOULARTE, Rudinei. Multimodal early fusion operators for temporal video scene segmentation tasks. Multimedia Tools and Applications, v. 82, n. 20, p. 31539-31556, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-023-14953-6. Acesso em: 11 nov. 2025.
APA
Beserra, A. A. R., & Goularte, R. (2023). Multimodal early fusion operators for temporal video scene segmentation tasks. Multimedia Tools and Applications, 82( 20), 31539-31556. doi:10.1007/s11042-023-14953-6
NLM
Beserra AAR, Goularte R. Multimodal early fusion operators for temporal video scene segmentation tasks [Internet]. Multimedia Tools and Applications. 2023 ; 82( 20): 31539-31556.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-023-14953-6
Vancouver
Beserra AAR, Goularte R. Multimodal early fusion operators for temporal video scene segmentation tasks [Internet]. Multimedia Tools and Applications. 2023 ; 82( 20): 31539-31556.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-023-14953-6
Artigo de periodico
Temporal video scene segmentation using deep-learning (2021)
Trojahn, Tiago Henrique ; Goularte, Rudinei
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, VÍDEO, MULTIMÍDIA INTERATIVA, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TROJAHN, Tiago Henrique e GOULARTE, Rudinei. Temporal video scene segmentation using deep-learning. Multimedia Tools and Applications, v. 80, n. 12, p. 17487-17513, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-020-10450-2. Acesso em: 11 nov. 2025.
APA
Trojahn, T. H., & Goularte, R. (2021). Temporal video scene segmentation using deep-learning. Multimedia Tools and Applications, 80( 12), 17487-17513. doi:10.1007/s11042-020-10450-2
NLM
Trojahn TH, Goularte R. Temporal video scene segmentation using deep-learning [Internet]. Multimedia Tools and Applications. 2021 ; 80( 12): 17487-17513.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-020-10450-2
Vancouver
Trojahn TH, Goularte R. Temporal video scene segmentation using deep-learning [Internet]. Multimedia Tools and Applications. 2021 ; 80( 12): 17487-17513.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-020-10450-2
Artigo de periodico
A comparison among keyframe extraction techniques for CNN classification based on video periocular images (2021)
Ferraz, Carolina Toledo ; Barcellos, William; Pereira Junior, Osmando ; Borges, Tamiris Trevisan Negri ; Manzato, Marcelo Garcia ; Gonzaga, Adilson ; Saito, Jose Hiroki
Source: Multimedia Tools and Applications. Unidades: ICMC, EESC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, OLHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERRAZ, Carolina Toledo et al. A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, v. 80, n. 8, p. 12843-12856, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11042-020-10384-9. Acesso em: 11 nov. 2025.
APA
Ferraz, C. T., Barcellos, W., Pereira Junior, O., Borges, T. T. N., Manzato, M. G., Gonzaga, A., & Saito, J. H. (2021). A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications, 80( 8), 12843-12856. doi:10.1007/s11042-020-10384-9
NLM
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Vancouver
Ferraz CT, Barcellos W, Pereira Junior O, Borges TTN, Manzato MG, Gonzaga A, Saito JH. A comparison among keyframe extraction techniques for CNN classification based on video periocular images [Internet]. Multimedia Tools and Applications. 2021 ; 80( 8): 12843-12856.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-020-10384-9
Artigo de periodico
Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor (2018)
Vieira, Raissa Tavares; Negri, Tamiris Trevisan; Gonzaga, Adilson
Source: Multimedia Tools and Applications. Unidade: EESC
Subjects: RECONHECIMENTO DE IMAGEM, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VIEIRA, Raissa Tavares e NEGRI, Tamiris Trevisan e GONZAGA, Adilson. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications, 2018Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6204-1. Acesso em: 11 nov. 2025.
APA
Vieira, R. T., Negri, T. T., & Gonzaga, A. (2018). Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor. Multimedia Tools and Applications. doi:10.1007/s11042-018-6204-1
NLM
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Vancouver
Vieira RT, Negri TT, Gonzaga A. Improving the classification of rotated images by adding the signal and magnitude information to a local texture descriptor [Internet]. Multimedia Tools and Applications. 2018 ;[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-018-6204-1
Artigo de periodico
Retrieving 2D shapes by similarity based on bag of salience points (2017)
Pedrosa, Glauco V; Traina, Agma Juci Machado ; Barcelos, Celia A. Z
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: BANCO DE DADOS, PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEDROSA, Glauco V e TRAINA, Agma Juci Machado e BARCELOS, Celia A. Z. Retrieving 2D shapes by similarity based on bag of salience points. Multimedia Tools and Applications, v. 76, n. 20, p. 20957-20971, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11042-016-4046-2. Acesso em: 11 nov. 2025.
APA
Pedrosa, G. V., Traina, A. J. M., & Barcelos, C. A. Z. (2017). Retrieving 2D shapes by similarity based on bag of salience points. Multimedia Tools and Applications, 76( 20), 20957-20971. doi:10.1007/s11042-016-4046-2
NLM
Pedrosa GV, Traina AJM, Barcelos CAZ. Retrieving 2D shapes by similarity based on bag of salience points [Internet]. Multimedia Tools and Applications. 2017 ; 76( 20): 20957-20971.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-016-4046-2
Vancouver
Pedrosa GV, Traina AJM, Barcelos CAZ. Retrieving 2D shapes by similarity based on bag of salience points [Internet]. Multimedia Tools and Applications. 2017 ; 76( 20): 20957-20971.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/s11042-016-4046-2

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Funding Agencies

Indexado em

Non normalized affiliation