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Refinado por: data de publicação: Após 2009 remover tipo de recurso: Standards remover
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A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding
A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding
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A General Transitive Transfer Learning Framework for Cross-Optical Sensor Remote Sensing Image Scene Understanding

Tao, Chao ; Xiao, Rong ; Wang, Yuze ; Qi, Ji ; Li, Haifeng

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2023, Vol.16, p.4248-4260

IEEE

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2
DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites
DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites
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DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites

Xu, Deli ; Zhu, Yafei ; Xu, Qiang ; Liu, Yuhai ; Chen, Yu ; Zou, Yang ; Li, Lei

Access, IEEE, 2023, Vol.11, p.51798-51809

IEEE

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3
Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning
Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning
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Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning

Rufaida, Syahidah Izza ; Putra, Tryan Aditya ; Leu, Jenq-Shiou ; Song, Tian ; Katayama, Takafumi

Access, IEEE, 2023, Vol.11, p.79838-79850

IEEE

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4
Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems
Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems
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Pathogen-Based Classification of Plant Diseases: A Deep Transfer Learning Approach for Intelligent Support Systems

Asha Rani, K. P ; Gowrishankar, S

Access, IEEE, 2023, Vol.11, p.64476-64493

IEEE

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5
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning
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Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning

Lechner, Mathias ; Amini, Alexander ; Rus, Daniela ; Henzinger, Thomas A

Robotics and Automation Letters, IEEE, 2023, Vol.8, p.1595-1602

IEEE

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6
Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning
Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning
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Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning

Ijaz, Areesha ; Raza, Basit ; Kiran, Iqra ; Waheed, Abdul ; Raza, Aadil ; Shah, Habib ; Aftan, Sulaiman

Access, IEEE, 2023, Vol.11, p.15750-15762

IEEE

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7
A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework
A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework
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A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework

Tan, Y. Nguyen ; Tinh, Vo Phuc ; Lam, Pham Duc ; Nam, Nguyen Hoang ; Khoa, Tran Anh

Access, IEEE, 2023, Vol.11, p.27462-27476

IEEE

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8
Monkeypox Diagnosis With Interpretable Deep Learning
Monkeypox Diagnosis With Interpretable Deep Learning
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Monkeypox Diagnosis With Interpretable Deep Learning

Ahsan, Md. Manjurul ; Ali, Md. Shahin ; Hassan, Md. Mehedi ; Abdullah, Tareque Abu ; Gupta, Kishor Datta ; Bagci, Ulas ; Kaushal, Chetna ; Soliman, Naglaa F

Access, IEEE, 2023, Vol.11, p.81965-81980

IEEE

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9
Deep Transfer Learning Based Parkinson's Disease Detection Using Optimized Feature Selection
Deep Transfer Learning Based Parkinson's Disease Detection Using Optimized Feature Selection
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Deep Transfer Learning Based Parkinson's Disease Detection Using Optimized Feature Selection

Abdullah, Sura Mahmood ; Abbas, Thekra ; Bashir, Munzir Hubiba ; Khaja, Ishfaq Ahmad ; Ahmad, Musheer ; Soliman, Naglaa F ; El-Shafai, Walid

Access, IEEE, 2023, Vol.11, p.3511-3524

IEEE

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10
Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids
Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids
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Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids

Syed, Dabeeruddin ; Zainab, Ameema ; Refaat, Shady S ; Abu-Rub, Haitham ; Bouhali, Othmane ; Ghrayeb, Ali ; Houchati, Mahdi ; Banales, Santiago

Canadian Journal of Electrical and Computer Engineering, IEEE, 2023, Vol.46, p.157-169

IEEE

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