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Nianyin Zeng
Researcher at Xiamen University
Publications - 106
Citations - 7540
Nianyin Zeng is an academic researcher from Xiamen University. The author has contributed to research in topics: Computer science & Pattern recognition (psychology). The author has an hindex of 28, co-authored 84 publications receiving 4458 citations. Previous affiliations of Nianyin Zeng include Fuzhou University & University of Hong Kong.
Papers
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A survey of deep neural network architectures and their applications
TL;DR: This work was supported in part by the Royal Society of the UK, the National Natural Science Foundation of China, and the Alexander von Humboldt Foundation of Germany.
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Identification of rice diseases using deep convolutional neural networks
TL;DR: A novel rice diseases identification method based on deep convolutional neural networks (CNNs) techniques, trained to identify 10 common rice diseases with much higher accuracy than conventional machine learning model.
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Facial expression recognition via learning deep sparse autoencoders
TL;DR: A novel framework for facial expression recognition to automatically distinguish the expressions with high accuracy is presented and a high recognition accuracy is achieved, which successfully demonstrates the feasibility and effectiveness of the approach.
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A new switching-delayed-PSO-based optimized SVM algorithm for diagnosis of Alzheimer’s disease
TL;DR: A framework is proposed for the diagnosis of AD, which consists of MRI images preprocessing, feature extraction, principal component analysis, and the support vector machine (SVM) model, and a new switching delayed particle swarm optimization (SDPSO) algorithm is proposed to optimize the SVM parameters.
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A review on transfer learning in EEG signal analysis
TL;DR: Four main methods of transfer learning are described and their practical applications in EEG signal analysis in recent years are explored.