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A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification
A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification
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A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification

Silva, Iván ; Eugenio Naranjo, José

Sensors (Basel, Switzerland), 2020-03, Vol.20 (6), p.1692 [Periódico revisado por pares]

Switzerland: MDPI AG

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MHANet: A hybrid attention mechanism for retinal diseases classification
MHANet: A hybrid attention mechanism for retinal diseases classification
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MHANet: A hybrid attention mechanism for retinal diseases classification

Xu, Lianghui ; Wang, Liejun ; Cheng, Shuli ; Li, Yongming Zhang, Jie

PloS one, 2021-12, Vol.16 (12), p.e0261285-e0261285 [Periódico revisado por pares]

United States: Public Library of Science

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3
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Helber, Patrick ; Bischke, Benjamin ; Dengel, Andreas ; Borth, Damian

IEEE journal of selected topics in applied earth observations and remote sensing, 2019-07, Vol.12 (7), p.2217-2226 [Periódico revisado por pares]

Piscataway: IEEE

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4
On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network
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On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network

Minallah, Nasru ; Tariq, Mohsin ; Aziz, Najam ; Khan, Waleed ; Rehman, Atiq Ur ; Belhaouari, Samir Brahim Damasevicius, Robertas

PloS one, 2020-09, Vol.15 (9), p.e0239746-e0239746 [Periódico revisado por pares]

United States: Public Library of Science

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5
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs
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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Cheng, Gong ; Yang, Ceyuan ; Yao, Xiwen ; Guo, Lei ; Han, Junwei

IEEE transactions on geoscience and remote sensing, 2018-05, Vol.56 (5), p.2811-2821 [Periódico revisado por pares]

New York: IEEE

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6
AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification
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AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

Xia, Gui-Song ; Hu, Jingwen ; Hu, Fan ; Shi, Baoguang ; Bai, Xiang ; Zhong, Yanfei ; Zhang, Liangpei ; Lu, Xiaoqiang

IEEE transactions on geoscience and remote sensing, 2017-07, Vol.55 (7), p.3965-3981 [Periódico revisado por pares]

New York: IEEE

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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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Deep Few-Shot Learning for Hyperspectral Image Classification
Deep Few-Shot Learning for Hyperspectral Image Classification
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Deep Few-Shot Learning for Hyperspectral Image Classification

Liu, Bing ; Yu, Xuchu ; Yu, Anzhu ; Zhang, Pengqiang ; Wan, Gang ; Wang, Ruirui

IEEE transactions on geoscience and remote sensing, 2019-04, Vol.57 (4), p.2290-2304 [Periódico revisado por pares]

New York: IEEE

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9
Deep Feature Fusion for VHR Remote Sensing Scene Classification
Deep Feature Fusion for VHR Remote Sensing Scene Classification
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Deep Feature Fusion for VHR Remote Sensing Scene Classification

Chaib, Souleyman ; Huan Liu ; Yanfeng Gu ; Hongxun Yao

IEEE transactions on geoscience and remote sensing, 2017-08, Vol.55 (8), p.4775-4784 [Periódico revisado por pares]

New York: IEEE

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10
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Rahman, Tawsifur ; Khandakar, Amith ; Qiblawey, Yazan ; Tahir, Anas ; Kiranyaz, Serkan ; Abul Kashem, Saad Bin ; Islam, Mohammad Tariqul ; Al Maadeed, Somaya ; Zughaier, Susu M. ; Khan, Muhammad Salman ; Chowdhury, Muhammad E.H.

Computers in biology and medicine, 2021-05, Vol.132, p.104319-104319, Article 104319 [Periódico revisado por pares]

United States: Elsevier Ltd

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