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1
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model

Márcus Vinícius Lobo Costa Erikson Júlio de Aguiar; Lucas Santiago Rodrigues; Jonathan da Silva Ramos; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (36. 2023 L'Aquila, Italy)

Proceedings Los Alamitos : IEEE, 2023

Los Alamitos IEEE 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145014 )(Acessar)

2
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers

Leandro Alves Neves João Manuel Cardoso Martinez; Leonardo Henrique da Costa Longo; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Adriano Mota Loyola; Sérgio Vitorino Cardoso; Adriano Barbosa Silva; Marcelo Zanchetta do Nascimento; Guilherme Botazzo Rozendo; International Conference on Enterprise Information Systems - ICEIS (25. 2023 Prague, Czech Republic)

Proceedings Setúbal : SciTePress, 2023

Setúbal SciTePress 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3139171 )(Acessar)

3
A comparison among keyframe extraction techniques for CNN classification based on video periocular images
A comparison among keyframe extraction techniques for CNN classification based on video periocular images
Material Type:
Artigo 		Adicionar ao Meu Espaço

A comparison among keyframe extraction techniques for CNN classification based on video periocular images

Carolina Toledo Ferraz William Barcellos; Osmando Pereira Junior; Tamiris Trevisan Negri Borges; Marcelo Garcia Manzato; Adilson Gonzaga; Jose Hiroki Saito

Multimedia Tools and Applications Dordrecht v. 80, n. 8, p. 12843-12856, Mar. 2021

Dordrecht 2021

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-023265 ) e outros locais(Acessar)

4
A deep learning approach for COVID-19 screening and localization on chest x-ray images
A deep learning approach for COVID-19 screening and localization on chest x-ray images
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A deep learning approach for COVID-19 screening and localization on chest x-ray images

Karem Daiane Marcomini Diego Armando Cardona Cardenas; Agma Juci Machado Traina; Jose Eduardo Krieger; Marco Antonio Gutierrez; SPIE Medical Imaging (2022 San Diego)

Proceedings of SPIE Bellingham : International Society for Optical Engineering - SPIE v. 12033, p. 1203327-1-1203327-9, 2022

Bellingham International Society for Optical Engineering - SPIE 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3073475 )(Acessar)

5
Transformaçoes Hit-or-Miss para imagens tons de cinza
Transformaçoes Hit-or-Miss para imagens tons de cinza
Material Type:
Dissertação de Mestrado 		Adicionar ao Meu Espaço

Transformaçoes Hit-or-Miss para imagens tons de cinza

Siola, Felipe Breve

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Matemática e Estatística 2014-12-19

Acesso online. A biblioteca também possui exemplares impressos.

6
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images
Material Type:
Artigo 		Adicionar ao Meu Espaço

Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images

Victor Hugo Andrade Soares Moacir Antonelli Ponti; Ricardo José Gabrielli Barreto Campello

Computers and Electronics in Agriculture Kidlington v. 220, p. 1-18, May 2024

Kidlington 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3189619 )(Acessar)

7
Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning
Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Analysis and fusion of 2D and 3D images applied for detection and recognition of traffic signs using a new method of features extraction in conjunction with Deep Learning

Diego Renan Bruno Daniel Oliva Sales; Jean Amaro; Fernando Santos Osório; IEEE World Congress on Computational Intelligence - WCCI (2018 Rio de Janeiro, RJ); International Joint Conference on Neural Networks - IJCNN (31. 2018 Rio de Janeiro, RJ)

Proceedings Piscataway : IEEE, 2018

Piscataway IEEE 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2911898 )(Acessar)

8
Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack
Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack

Gabriel Biscaro Cavallari Moacir Antonelli Ponti; Conference on Graphics, Patterns and Images - SIBGRAPI (34. 2021 Gramado)

Proceedings Los Alamitos : IEEE, 2021

Los Alamitos IEEE 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3057136 )(Acessar)

9
Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling
Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Data augmentation guidelines for cross-dataset transfer learning and pseudo labeling

Fernando Pereira dos Santos Gabriela Salvador Thumé; Moacir Antonelli Ponti; Conference on Graphics, Patterns and Images - SIBGRAPI (34. 2021 Gramado)

Proceedings Los Alamitos : IEEE, 2021

Los Alamitos IEEE 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3057130 )(Acessar)

10
Robust feature spaces from pre-trained deep network layers for skin lesion classification
Robust feature spaces from pre-trained deep network layers for skin lesion classification
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Robust feature spaces from pre-trained deep network layers for skin lesion classification

Fernando Pereira dos Santos Moacir Antonelli Ponti; Conference on Graphics, Patterns and Images - SIBGRAPI (31. 2018 Foz do Iguaçu)

Proceedings Los Alamitos : IEEE, 2018

Los Alamitos IEEE 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2922328 )(Acessar)

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