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The (Un)reliability of Saliency Methods

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, p.267-280

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Gradient-Based Attribution Methods

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, p.169-191

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A survey on Deep Learning based bearing fault diagnosis

Neurocomputing (Amsterdam), 2019-03, Vol.335, p.327-335

2019

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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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Making the Case for Safety of Machine Learning in Highly Automated Driving

Computer Safety, Reliability, and Security, p.5-16

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A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

Applied energy, 2019-10, Vol.251, p.113315, Article 113315

2019

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Recent advances in convolutional neural network acceleration

Neurocomputing (Amsterdam), 2019-01, Vol.323, p.37-51

2019

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A survey on semi-supervised learning

Machine learning, 2020-02, Vol.109 (2), p.373-440

2020

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A recurrent neural network based health indicator for remaining useful life prediction of bearings

Neurocomputing (Amsterdam), 2017-05, Vol.240, p.98-109

2017

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A hybrid deep learning based traffic flow prediction method and its understanding

Transportation research. Part C, Emerging technologies, 2018-05, Vol.90, p.166-180

2018

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Continual lifelong learning with neural networks: A review

Neural networks, 2019-05, Vol.113, p.54-71

2019

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Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

Applied energy, 2019-02, Vol.236, p.1078-1088

2019

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Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

Expert systems with applications, 2018-08, Vol.103, p.25-37

2018

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Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

Neurocomputing (Amsterdam), 2018-01, Vol.275, p.167-179

2018

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Deep learning based ensemble approach for probabilistic wind power forecasting

Applied energy, 2017-02, Vol.188, p.56-70

2017

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Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

Applied energy, 2019-10, Vol.251, p.113381, Article 113381

2019

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A survey of artificial neural network in wind energy systems

Applied energy, 2018-10, Vol.228, p.1822-1836

2018

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Machinery health indicator construction based on convolutional neural networks considering trend burr

Neurocomputing (Amsterdam), 2018-05, Vol.292, p.142-150

2018

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Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Computer Vision – ECCV 2018, p.484-500

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Deep learning in spiking neural networks

Neural networks, 2019-03, Vol.111, p.47-63

2019

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Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

Applied energy, 2018-07, Vol.222, p.799-811

2018

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Incentive-based demand response for smart grid with reinforcement learning and deep neural network

Applied energy, 2019-02, Vol.236, p.937-949

2019

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A review of deep learning for renewable energy forecasting

Energy conversion and management, 2019-10, Vol.198, p.111799, Article 111799

2019

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A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

Neurocomputing (Amsterdam), 2018-01, Vol.272, p.619-628

2018

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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Machine learning, 2021-03, Vol.110 (3), p.457-506

2021

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The (Un)reliability of Saliency Methods

Gradient-Based Attribution Methods

A survey on Deep Learning based bearing fault diagnosis

A Survey on Deep Transfer Learning

Making the Case for Safety of Machine Learning in Highly Automated Driving

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

Recent advances in convolutional neural network acceleration

A survey on semi-supervised learning

A recurrent neural network based health indicator for remaining useful life prediction of bearings

A hybrid deep learning based traffic flow prediction method and its understanding

Continual lifelong learning with neural networks: A review

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

Deep learning based ensemble approach for probabilistic wind power forecasting

Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks

A survey of artificial neural network in wind energy systems

Machinery health indicator construction based on convolutional neural networks considering trend burr

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Deep learning in spiking neural networks

Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

A review of deep learning for renewable energy forecasting

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines

Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

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