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Refinado por: Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover assunto: Datasets remover
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A Review of Deep Transfer Learning and Recent Advancements
A Review of Deep Transfer Learning and Recent Advancements
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A Review of Deep Transfer Learning and Recent Advancements

Iman, Mohammadreza ; Arabnia, Hamid Reza ; Rasheed, Khaled

Technologies (Basel), 2023-04, Vol.11 (2), p.40 [Periódico revisado por pares]

Basel: MDPI AG

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Multi-Class Transfer Learning and Domain Selection for Cross-Subject EEG Classification
Multi-Class Transfer Learning and Domain Selection for Cross-Subject EEG Classification
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Multi-Class Transfer Learning and Domain Selection for Cross-Subject EEG Classification

Maswanganyi, Rito Clifford ; Tu, Chungling ; Owolawi, Pius Adewale ; Du, Shengzhi

Applied sciences, 2023-04, Vol.13 (8), p.5205 [Periódico revisado por pares]

Basel: MDPI AG

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3
A Survey on Contrastive Self-Supervised Learning
A Survey on Contrastive Self-Supervised Learning
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A Survey on Contrastive Self-Supervised Learning

Jaiswal, Ashish ; Babu, Ashwin Ramesh ; Zadeh, Mohammad Zaki ; Banerjee, Debapriya ; Makedon, Fillia

Technologies (Basel), 2021-03, Vol.9 (1), p.2 [Periódico revisado por pares]

Basel: MDPI AG

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4
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
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Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Cote-Allard, Ulysse ; Fall, Cheikh Latyr ; Drouin, Alexandre ; Campeau-Lecours, Alexandre ; Gosselin, Clement ; Glette, Kyrre ; Laviolette, Francois ; Gosselin, Benoit

IEEE transactions on neural systems and rehabilitation engineering, 2019-04, Vol.27 (4), p.760-771 [Periódico revisado por pares]

United States: IEEE

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5
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks
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A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks

Alghamdi, Sumaya ; Turki, Turki

Scientific reports, 2024-02, Vol.14 (1), p.4491-4491, Article 4491 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Extraction of mechanical properties of materials through deep learning from instrumented indentation
Extraction of mechanical properties of materials through deep learning from instrumented indentation
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Extraction of mechanical properties of materials through deep learning from instrumented indentation

Lu, Lu ; Dao, Ming ; Kumar, Punit ; Ramamurty, Upadrasta ; Karniadakis, George Em ; Suresh, Subra

Proceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (13), p.7052-7062 [Periódico revisado por pares]

United States: National Academy of Sciences

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7
Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
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Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification

Ayana, Gelan ; Park, Jinhyung ; Choe, Se-Woon

Cancers, 2022-03, Vol.14 (5), p.1280 [Periódico revisado por pares]

Switzerland: MDPI AG

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8
Deep convolutional neural network based medical image classification for disease diagnosis
Deep convolutional neural network based medical image classification for disease diagnosis
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Deep convolutional neural network based medical image classification for disease diagnosis

Yadav, Samir S. ; Jadhav, Shivajirao M.

Journal of Big Data, 2019-12, Vol.6 (1), p.1-18, Article 113 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Neural Network for Nanoscience Scanning Electron Microscope Image Recognition
Neural Network for Nanoscience Scanning Electron Microscope Image Recognition
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Neural Network for Nanoscience Scanning Electron Microscope Image Recognition

Modarres, Mohammad Hadi ; Aversa, Rossella ; Cozzini, Stefano ; Ciancio, Regina ; Leto, Angelo ; Brandino, Giuseppe Piero

Scientific reports, 2017-10, Vol.7 (1), p.13282-12, Article 13282 [Periódico revisado por pares]

England: Nature Publishing Group

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10
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme
A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme
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A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

Lao, Jiangwei ; Chen, Yinsheng ; Li, Zhi-Cheng ; Li, Qihua ; Zhang, Ji ; Liu, Jing ; Zhai, Guangtao

Scientific reports, 2017-09, Vol.7 (1), p.10353-8, Article 10353 [Periódico revisado por pares]

England: Nature Publishing Group

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