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Refinado por: assunto: Algorithms remover assunto: Deep Learning remover assunto: Technology remover
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Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic
Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic
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Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic

Fernandes, Francisco Erivaldo ; Yen, Gary G.

IEEE transaction on neural networks and learning systems, 2021-12, Vol.32 (12), p.5664-5674

United States: IEEE

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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
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Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification

Sun, Yanan ; Xue, Bing ; Zhang, Mengjie ; Yen, Gary G. ; Lv, Jiancheng

IEEE transactions on cybernetics, 2020-09, Vol.50 (9), p.3840-3854 [Periódico revisado por pares]

United States: IEEE

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3
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning
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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

She, Changyang ; Sun, Chengjian ; Gu, Zhouyou ; Li, Yonghui ; Yang, Chenyang ; Poor, H. Vincent ; Vucetic, Branka

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246 [Periódico revisado por pares]

New York: IEEE

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4
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing
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Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Roy, Swalpa Kumar ; Zhang, Bing ; Chanussot, Jocelyn

IEEE geoscience and remote sensing letters, 2022, Vol.19, p.1-5 [Periódico revisado por pares]

Piscataway: IEEE

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5
Applications of Deep Learning and Reinforcement Learning to Biological Data
Applications of Deep Learning and Reinforcement Learning to Biological Data
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Applications of Deep Learning and Reinforcement Learning to Biological Data

Mahmud, Mufti ; Kaiser, Mohammed Shamim ; Hussain, Amir ; Vassanelli, Stefano

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2063-2079

United States: IEEE

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Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition
Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition
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Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition

Shu, Xiangbo ; Zhang, Liyan ; Sun, Yunlian ; Tang, Jinhui

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.663-674

United States: IEEE

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7
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing
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AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing

Han, Zhu ; Hong, Danfeng ; Gao, Lianru ; Zhang, Bing ; Huang, Min ; Chanussot, Jocelyn

IEEE transactions on geoscience and remote sensing, 2022-01, Vol.60, p.1-1 [Periódico revisado por pares]

New York: IEEE

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8
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs
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Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs

Liu, Shuanglong ; Fan, Hongxiang ; Ferianc, Martin ; Niu, Xinyu ; Shi, Huifeng ; Luk, Wayne

IEEE transaction on neural networks and learning systems, 2022-08, Vol.33 (8), p.3974-3987

United States: IEEE

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9
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training
DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training
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DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-Chip Training

Peng, Xiaochen ; Huang, Shanshi ; Jiang, Hongwu ; Lu, Anni ; Yu, Shimeng

IEEE transactions on computer-aided design of integrated circuits and systems, 2021-11, Vol.40 (11), p.2306-2319 [Periódico revisado por pares]

New York: IEEE

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10
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations
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Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations

Sun, Yanan ; Yen, Gary G. ; Yi, Zhang

IEEE transactions on evolutionary computation, 2019-02, Vol.23 (1), p.89-103 [Periódico revisado por pares]

New York: IEEE

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