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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Mechanical systems and signal processing, 2022-03, Vol.167, p.108487, Article 108487

2022

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A Decade Survey of Transfer Learning (2010-2020)

IEEE transactions on artificial intelligence, 2020-10, Vol.1 (2), p.151-166

2020

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A Survey on Deep Transfer Learning

Artificial Neural Networks and Machine Learning – ICANN 2018, p.270-279

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Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Reliability engineering & system safety, 2021-11, Vol.215, p.107938, Article 107938

2021

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Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings

Applied energy, 2023-03, Vol.333, p.120598, Article 120598

2023

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HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data

Information fusion, 2024-08, p.102617, Article 102617

2024

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Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5751-5765

2022

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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10164-10173

2022

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Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2019-03, Vol.57 (3), p.1741-1754

2019

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Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

IEEE transactions on industrial informatics, 2019-04, Vol.15 (4), p.2416-2425

2019

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

BMC bioinformatics, 2019-06, Vol.20 (Suppl 11), p.281-20, Article 281

2019

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Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

IEEE transactions on instrumentation and measurement, 2021, Vol.70, p.1-28

2021

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Multi-scale deep intra-class transfer learning for bearing fault diagnosis

Reliability engineering & system safety, 2020-10, Vol.202, p.107050, Article 107050

2020

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Cross-subject transfer learning in human activity recognition systems using generative adversarial networks

Neurocomputing (Amsterdam), 2021-02, Vol.426, p.26-34

2021

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Scaling Vision Transformers

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.1204-1213

2022

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Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning

IEEE internet of things journal, 2024-06, Vol.11 (11), p.20223-20235

2024

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Transfer learning of clinical outcomes from preclinical molecular data, principles and perspectives

Briefings in bioinformatics, 2022-05, Vol.23 (3)

2022

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Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults

Mechanical systems and signal processing, 2022-01, Vol.162, p.108095, Article 108095

2022

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All You Need is "Love": Evading Hate Speech Detection

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security, 2018, p.2-12

2018

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A systematic analysis of design choices in short-term taxi demand prediction models

Transportation research procedia (Online), 2024, Vol.78, p.554-561

2024

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An adaptive deep transfer learning method for bearing fault diagnosis

Measurement : journal of the International Measurement Confederation, 2020-02, Vol.151, p.107227, Article 107227

2020

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A survey on heterogeneous transfer learning

Journal of big data, 2017-09, Vol.4 (1), p.1-42, Article 29

2017

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Distant Domain Transfer Learning for Medical Imaging

IEEE journal of biomedical and health informatics, 2021-10, Vol.25 (10), p.3784-3793

2021

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A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.7598-7609

2022

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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

A Decade Survey of Transfer Learning (2010-2020)

A Survey on Deep Transfer Learning

Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning

Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings

HTTPS: Heterogeneous Transfer learning for spliT Prediction System evaluated on healthcare data

Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016

Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

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

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

Multi-scale deep intra-class transfer learning for bearing fault diagnosis

Cross-subject transfer learning in human activity recognition systems using generative adversarial networks

Scaling Vision Transformers

Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning

Transfer learning of clinical outcomes from preclinical molecular data, principles and perspectives

Multi-source transfer learning network to complement knowledge for intelligent diagnosis of machines with unseen faults

All You Need is "Love": Evading Hate Speech Detection

A systematic analysis of design choices in short-term taxi demand prediction models

An adaptive deep transfer learning method for bearing fault diagnosis

A survey on heterogeneous transfer learning

Distant Domain Transfer Learning for Medical Imaging

A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data

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