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Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
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Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation

Chen, Yang ; Sun, Xiaoyan ; Jin, Yaochu

IEEE transaction on neural networks and learning systems, 2020-10, Vol.31 (10), p.4229-4238

United States: IEEE

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A review of object detection based on deep learning
A review of object detection based on deep learning
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A review of object detection based on deep learning

Xiao, Youzi ; Tian, Zhiqiang ; Yu, Jiachen ; Zhang, Yinshu ; Liu, Shuai ; Du, Shaoyi ; Lan, Xuguang

Multimedia tools and applications, 2020-09, Vol.79 (33-34), p.23729-23791 [Periódico revisado por pares]

New York: Springer US

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3
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

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4
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
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Deep neural network models for computational histopathology: A survey

Srinidhi, Chetan L. ; Ciga, Ozan ; Martel, Anne L.

Medical image analysis, 2021-01, Vol.67, p.101813-101813, Article 101813 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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5
Universal Approximation Capability of Broad Learning System and Its Structural Variations
Universal Approximation Capability of Broad Learning System and Its Structural Variations
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Universal Approximation Capability of Broad Learning System and Its Structural Variations

Chen, C. L. Philip ; Liu, Zhulin ; Feng, Shuang

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1191-1204

United States: IEEE

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6
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications
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A Survey of Stochastic Computing Neural Networks for Machine Learning Applications

Liu, Yidong ; Liu, Siting ; Wang, Yanzhi ; Lombardi, Fabrizio ; Han, Jie

IEEE transaction on neural networks and learning systems, 2021-07, Vol.32 (7), p.2809-2824

United States: IEEE

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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
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Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction

Gao, Shangce ; Zhou, Mengchu ; Wang, Yirui ; Cheng, Jiujun ; Yachi, Hanaki ; Wang, Jiahai

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.601-614

United States: IEEE

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8
A survey on deep learning in medical image analysis
A survey on deep learning in medical image analysis
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A survey on deep learning in medical image analysis

Litjens, Geert ; Kooi, Thijs ; Bejnordi, Babak Ehteshami ; Setio, Arnaud Arindra Adiyoso ; Ciompi, Francesco ; Ghafoorian, Mohsen ; van der Laak, Jeroen A.W.M. ; van Ginneken, Bram ; Sánchez, Clara I.

Medical image analysis, 2017-12, Vol.42, p.60-88 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation

Zhong, Li ; Fang, Zhen ; Liu, Feng ; Yuan, Bo ; Zhang, Guangquan ; Lu, Jie

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.3859-3873

United States: IEEE

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10
A review on extreme learning machine
A review on extreme learning machine
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A review on extreme learning machine

Wang, Jian ; Lu, Siyuan ; Wang, Shui-Hua ; Zhang, Yu-Dong

Multimedia tools and applications, 2022-12, Vol.81 (29), p.41611-41660 [Periódico revisado por pares]

New York: Springer US

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