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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:
Artículo de Congreso 		Añadir a Mi Portal

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

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3145014 )(Obténgalo)

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:
Artículo de Congreso 		Añadir a Mi Portal

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

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3139171 )(Obténgalo)

3
Separating particles from plankton images
Separating particles from plankton images
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Separating particles from plankton images

Nina Sumiko Tomita Hirata Alexandre Morimitsu; Antonio José Homsi Goulart; International Conference on Pattern Recognition - ICPR (26. 2022 Montreal, QC, Canadá)

Proceedings Cham : Springer, 2023

Cham Springer 2023

Disponible en IME - Inst. Matemática e Estatística    (PROD-3166082 )(Obténgalo)

4
Late-fusion multimodal human detection based on RGB and thermal images for robotic perception
Late-fusion multimodal human detection based on RGB and thermal images for robotic perception
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Late-fusion multimodal human detection based on RGB and thermal images for robotic perception

Elísio Sousa Kennedy O. S Mota; Iago Pachêco Gomes; Luís Garrote; Denis Fernando Wolf; Cristiano Premebida; European Conference on Mobile Robots - ECMR (2023 Coimbra, Portugal)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3182525 )(Obténgalo)

5
BoCS image retrieval using explicable methods
BoCS image retrieval using explicable methods
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

BoCS image retrieval using explicable methods

Endi Daniel Coelho Silva Agma Juci Machado Traina; Conference on Graphics, Patterns and Images - SIBGRAPI (36. 2023 Rio Grande, RS)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3173125 )(Obténgalo)

6
Unsupervised image segmentation by oriented image foresting transform in layered graphs
Unsupervised image segmentation by oriented image foresting transform in layered graphs
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Unsupervised image segmentation by oriented image foresting transform in layered graphs

Felipe A. S Kleine Luiz Felipe Dolabela Santos; Fabio A. M Cappabianco; Paulo André Vechiatto de Miranda; Conference on Graphics, Patterns and Images - SIBGRAPI (36. 2023 Rio Grande, RS, Brazil)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Disponible en IME - Inst. Matemática e Estatística    (PROD-3173599 )(Obténgalo)

7
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings

Erikson Júlio de Aguiar Márcus Vinícius Lobo Costa; 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

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3145032 )(Obténgalo)

8
Bearing failure prognostics using recurrent neural networks a spectral data based architecture
Bearing failure prognostics using recurrent neural networks a spectral data based architecture
Material Type:
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Bearing failure prognostics using recurrent neural networks a spectral data based architecture

Renato Cosin Leo Sampaio Ferraz Ribeiro; Kalinka Regina Lucas Jaquie Castelo Branco; Conference on Graphics, Patterns and Images - SIBGRAPI (36. 2023 Rio Grande)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Disponible en ICMC - Inst. Ciên. Mat. Computação    (PROD-3179558 )(Obténgalo)

9
Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas
Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Automatic lung segmentation with seed generation and ROIFT algorithm for the creation of anatomical atlas

Jungeui Choi Edson Kenji Ueda; Guilherme Cortez Duran; Paulo André Vechiatto de Miranda; Marcos de Sales Guerra Tsuzuki 1963-; International Conference on Geometry and Graphics - ICGG (20. 2022 Basel)

Proceedings Cham : Springer, 2023

Cham Springer 2023

Disponible en IME - Inst. Matemática e Estatística    (PROD-3095228 )(Obténgalo)

10
Deep learning and t-SNE projection for plankton images clusterization
Deep learning and t-SNE projection for plankton images clusterization
Material Type:
Artículo de Congreso 		Añadir a Mi Portal

Deep learning and t-SNE projection for plankton images clusterization

Antonio José Homsi Goulart Alexandre Morimitsu; Renan Jacomassi; Nina Sumiko Tomita Hirata; Rubens Mendes Lopes; Oceans Conference (2021 San Diego, CA)

Proceedings Piscataway : IEEE, 2022

Piscataway IEEE 2022

Disponible en IME - Inst. Matemática e Estatística    (PROD-3068664 )(Obténgalo)

Resultados 1 - 10 de 219  para Producción Intelectual USP

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por este autor/creador:

  1. Conference on Graphics, P
  2. Traina, A
  3. Traina Junior, C
  4. Nonato, L
  5. Ponti, M

con este tema:

  1. Processamento De Imagens
  2. Computação Gráfica
  3. Reconhecimento De Imagem
  4. Banco De Dados
  5. Aprendizado Computacional

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