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Deep Residual Learning for Image Recognition: A Survey
Deep Residual Learning for Image Recognition: A Survey
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Deep Residual Learning for Image Recognition: A Survey

Shafiq, Muhammad ; Gu, Zhaoquan

Applied sciences, 2022-09, Vol.12 (18), p.8972 [Periódico revisado por pares]

Basel: MDPI AG

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HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification
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HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification

Zhang, Tianwen ; Zhang, Xiaoling ; Ke, Xiao ; Liu, Chang ; Xu, Xiaowo ; Zhan, Xu ; Wang, Chen ; Ahmad, Israr ; Zhou, Yue ; Pan, Dece ; Li, Jianwei ; Su, Hao ; Shi, Jun ; Wei, Shunjun

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-22 [Periódico revisado por pares]

New York: IEEE

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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Ghorbanzadeh, Omid ; Blaschke, Thomas ; Gholamnia, Khalil ; Meena, Sansar ; Tiede, Dirk ; Aryal, Jagannath

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196 [Periódico revisado por pares]

Basel: MDPI AG

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Deep convolutional neural networks for mammography: advances, challenges and applications
Deep convolutional neural networks for mammography: advances, challenges and applications
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Deep convolutional neural networks for mammography: advances, challenges and applications

Abdelhafiz, Dina ; Yang, Clifford ; Ammar, Reda ; Nabavi, Sheida

BMC bioinformatics, 2019-06, Vol.20 (Suppl 11), p.281-281, Article 281 [Periódico revisado por pares]

England: BioMed Central Ltd

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The state of the art of deep learning models in medical science and their challenges
The state of the art of deep learning models in medical science and their challenges
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The state of the art of deep learning models in medical science and their challenges

Bhatt, Chandradeep ; Kumar, Indrajeet ; Vijayakumar, V. ; Singh, Kamred Udham ; Kumar, Abhishek

Multimedia systems, 2021-08, Vol.27 (4), p.599-613 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
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SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Zhang, Tianwen ; Zhang, Xiaoling ; Li, Jianwei ; Xu, Xiaowo ; Wang, Baoyou ; Zhan, Xu ; Xu, Yanqin ; Ke, Xiao ; Zeng, Tianjiao ; Su, Hao ; Ahmad, Israr ; Pan, Dece ; Liu, Chang ; Zhou, Yue ; Shi, Jun ; Wei, Shunjun

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3690 [Periódico revisado por pares]

Basel: MDPI AG

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7
Word2vec convolutional neural networks for classification of news articles and tweets
Word2vec convolutional neural networks for classification of news articles and tweets
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Word2vec convolutional neural networks for classification of news articles and tweets

Jang, Beakcheol ; Kim, Inhwan ; Kim, Jong Wook Pławiak, Paweł

PloS one, 2019-08, Vol.14 (8), p.e0220976-e0220976 [Periódico revisado por pares]

United States: Public Library of Science

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8
Suicidal ideation and mental disorder detection with attentive relation networks
Suicidal ideation and mental disorder detection with attentive relation networks
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Suicidal ideation and mental disorder detection with attentive relation networks

Ji, Shaoxiong ; Li, Xue ; Huang, Zi ; Cambria, Erik

Neural computing & applications, 2022-07, Vol.34 (13), p.10309-10319 [Periódico revisado por pares]

London: Springer London

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9
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review
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Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review

Jena, Biswajit ; Saxena, Sanjay ; Nayak, Gopal K. ; Saba, Luca ; Sharma, Neeraj ; Suri, Jasjit S.

Computers in biology and medicine, 2021-10, Vol.137, p.104803-104803, Article 104803 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests
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Multi-model LSTM-based convolutional neural networks for detection of apple diseases and pests

Turkoglu, Muammer ; Hanbay, Davut ; Sengur, Abdulkadir

Journal of ambient intelligence and humanized computing, 2022-07, Vol.13 (7), p.3335-3345 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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