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1
Deep learning for biological image classification
Deep learning for biological image classification
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Deep learning for biological image classification

Carlos Affonso André Luis Debiaso Rossi; Fábio Henrique Antunes Vieira; André Carlos Ponce de Leon Ferreira de Carvalho

Expert Systems with Applications Oxfrod : Elsevier v. 85, p. 114-122, Nov. 2017

Oxford 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2833544 )(Acessar)

2
A scheme for high level data classification using random walk and network measures
A scheme for high level data classification using random walk and network measures
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A scheme for high level data classification using random walk and network measures

Thiago Henrique Cupertino Murillo Guimarães Carneiro; Zheng Qiusheng; Zhang Junbao; Zhao Liang

Expert Systems with Applications Elmsford v. 92, p. 289-303, 2018

Elmsford 2018

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2885854 Estantes Deslizantes )(Acessar)

3
Providing a greater precision of situational awareness of urban floods through multimodal fusion
Providing a greater precision of situational awareness of urban floods through multimodal fusion
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Providing a greater precision of situational awareness of urban floods through multimodal fusion

Thiago Aparecido Gonçalves da Costa Rodolfo Ipolito Meneguette; Jó Ueyama

Expert Systems With Applications Oxford : Elsevier v. 188, p. 1-28, 2022

Oxford 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3046154 )(Acessar)

4
On novelty detection for multi-class classification using non-linear metric learning
On novelty detection for multi-class classification using non-linear metric learning
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On novelty detection for multi-class classification using non-linear metric learning

Samuel Rocha Silva Thales Vieira; Dimas Martínez; Afonso Paiva

Expert Systems With Applications Oxford : Elsevier v. 167, p. 1-12, 2021

Oxford 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3010829 )(Acessar)

5
Latent association rule cluster based model to extract topics for classification and recommendation applications
Latent association rule cluster based model to extract topics for classification and recommendation applications
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Latent association rule cluster based model to extract topics for classification and recommendation applications

Fabiano Fernandes dos Santos Marcos Aurélio Domingues; Camila Vaccari Sundermann; Veronica Oliveira de Carvalho; Maria Fernanda Moura; Solange Oliveira Rezende

Expert Systems with Applications Kidlington : Elsevier v. 112, p. 34-60, Dec. 2018

Kidlington 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2890830 )(Acessar)

6
A recent overview of the state-of-the-art elements of text classification
A recent overview of the state-of-the-art elements of text classification
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A recent overview of the state-of-the-art elements of text classification

Mirończuk, Marcin Michał ; Protasiewicz, Jarosław

Expert systems with applications, 2018-09, Vol.106, p.36-54 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques
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Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques

Hameed, Nazia ; Shabut, Antesar M. ; Ghosh, Miltu K. ; Hossain, M.A.

Expert systems with applications, 2020-03, Vol.141, p.112961, Article 112961 [Periódico revisado por pares]

New York: Elsevier Ltd

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8
Automatic driver sleepiness detection using EEG, EOG and contextual information
Automatic driver sleepiness detection using EEG, EOG and contextual information
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Automatic driver sleepiness detection using EEG, EOG and contextual information

Barua, Shaibal ; Ahmed, Mobyen Uddin ; Ahlström, Christer ; Begum, Shahina

Expert systems with applications, 2019-01, Vol.115, p.121-135 [Periódico revisado por pares]

New York: Elsevier Ltd

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9
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation
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Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation

Gómez-Ríos, Anabel ; Tabik, Siham ; Luengo, Julián ; Shihavuddin, ASM ; Krawczyk, Bartosz ; Herrera, Francisco

Expert systems with applications, 2019-03, Vol.118, p.315-328 [Periódico revisado por pares]

New York: Elsevier Ltd

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10
Convolutional neural network improvement for breast cancer classification
Convolutional neural network improvement for breast cancer classification
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Convolutional neural network improvement for breast cancer classification

Ting, Fung Fung ; Tan, Yen Jun ; Sim, Kok Swee

Expert systems with applications, 2019-04, Vol.120, p.103-115 [Periódico revisado por pares]

New York: Elsevier Ltd

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