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Resultados de 1 a 10 de 15  para Produção Intelectual da USP

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1
DermaDL advanced convolutional neural networks for computer-aided skin-lesion classification
DermaDL advanced convolutional neural networks for computer-aided skin-lesion classification
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DermaDL advanced convolutional neural networks for computer-aided skin-lesion classification

Daniel Mário de Lima José Fernando Rodrigues Junior; Bruno Brandoli Machado; Lorraine Goeuriot; Sihem Amer-Yahia

SN Computer Science Heidelberg v. 2, n. 4, p. 1-13, July 2021

Heidelberg 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3028539 )(Acessar)

2
A serious game to build a database for ErrP signal recognition
A serious game to build a database for ErrP signal recognition
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A serious game to build a database for ErrP signal recognition

Adam Henrique Moreira Pinto Guilherme Vicentim Nardari; Marco Aurélio Martins Mijan; Edgard Morya; Roseli Aparecida Francelin Romero; International Work-Conference on Artificial Neural Networks - IWANN (15. 2019 Gran Canaria, Spain)

Lecture Notes in Computer Science Cham : Springer v. 11507, p. 186-197, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2949738 )(Acessar)

3
A fractal-based approach to network characterization applied to texture analysis
A fractal-based approach to network characterization applied to texture analysis
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A fractal-based approach to network characterization applied to texture analysis

Lucas Correia Ribas Antoine Manzanera; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11678, Part I, p. 129-140, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2960554 ) e outros locais(Acessar)

4
Deep convolutional neural networks for plant species characterization based on leaf midrib
Deep convolutional neural networks for plant species characterization based on leaf midrib
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Deep convolutional neural networks for plant species characterization based on leaf midrib

Leonardo Felipe dos Santos Scabini Rayner Harold Montes Condori; Isabella de Cassia Lima Munhoz; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11679, Part II, p. 389-401, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2960401 ) e outros locais(Acessar)

5
A web-based system to assess texture analysis methods and datasets
A web-based system to assess texture analysis methods and datasets
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Artigo de Congresso 		Adicionar ao Meu Espaço

A web-based system to assess texture analysis methods and datasets

Alex Josue Florez Farfan Leonardo Felipe dos Santos Scabini; Odemir Martinez Bruno; International Conference on Computer Analysis of Images and Patterns - CAIP (18. 2019 Salerno)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11679, Part II, p. 425-437, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2960406 ) e outros locais(Acessar)

6
Deep convolutional neural networks and noisy images
Deep convolutional neural networks and noisy images
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Deep convolutional neural networks and noisy images

Tiago Santana de Nazaré Gabriel B. Paranhos da Costa; Welinton A Contato; Moacir Antonelli Ponti; Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (22. 2017 Valparaíso)

Lecture Notes in Computer Science Cham : Springer v. 10657, p. 416-424, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2877039 )(Acessar)

7
Deterministic partially self-avoiding walks on networks for natural shapes classification
Deterministic partially self-avoiding walks on networks for natural shapes classification
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Deterministic partially self-avoiding walks on networks for natural shapes classification

Lucas Correia Ribas Odemir Martinez Bruno; Iberoamerican Congress on Pattern Recognition - CIARP (23. 2018 Valparaiso)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11401, p. 436-443, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2939095 ) e outros locais(Acessar)

8
Evaluating deep convolutional neural networks as texture feature extractors
Evaluating deep convolutional neural networks as texture feature extractors
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Evaluating deep convolutional neural networks as texture feature extractors

Leonardo Felipe dos Santos Scabini Rayner Harold Montes Condori; Lucas Correia Ribas; Odemir Martinez Bruno; International Conference on Image Analysis and Processing- ICIAP (20. 2019 Trento)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11752, Part II, p. 192-202, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2963185 ) e outros locais(Acessar)

9
Dynamic texture classification using deterministic partially self-avoiding walks on networks
Dynamic texture classification using deterministic partially self-avoiding walks on networks
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Dynamic texture classification using deterministic partially self-avoiding walks on networks

Lucas Correia Ribas Odemir Martinez Bruno; International Conference on Image Analysis and Processing- ICIAP (20. 2019 Trento)

Lecture Notes in Computer Science - LNCS Heidelberg : Springer v. 11751, Part I, p. 82-93, 2019

Heidelberg Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2963290 ) e outros locais(Acessar)

10
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes
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Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes

Dino Ienco Davi Pereira-Santos; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Artificial Neural Networks - ICANN (30. 2021 Bratislava, Slovakia)

Lecture Notes in Computer Science Cham : Springer v. 12895, p. 126-137, 2021

Cham Springer 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3064248 )(Acessar)

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