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11
Knowledge Distillation: A Survey
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Knowledge Distillation: A Survey

Gou, Jianping ; Yu, Baosheng ; Maybank, Stephen J. ; Tao, Dacheng

International journal of computer vision, 2021-06, Vol.129 (6), p.1789-1819 [Periódico revisado por pares]

New York: Springer US

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12
Deep learning in spiking neural networks
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Deep learning in spiking neural networks

Tavanaei, Amirhossein ; Ghodrati, Masoud ; Kheradpisheh, Saeed Reza ; Masquelier, Timothée ; Maida, Anthony

Neural networks, 2019-03, Vol.111, p.47-63 [Periódico revisado por pares]

United States: Elsevier Ltd

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13
A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration
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A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration

Ghimire, Deepak ; Kil, Dayoung ; Kim, Seong-heum

Electronics (Basel), 2022-03, Vol.11 (6), p.945 [Periódico revisado por pares]

Basel: MDPI AG

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14
Big Data for Energy Management and Energy-Efficient Buildings
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Big Data for Energy Management and Energy-Efficient Buildings

Marinakis, Vangelis

Energies (Basel), 2020, Vol.13 (7), p.1555 [Periódico revisado por pares]

Basel: MDPI AG

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15
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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16
Building a Digital Twin for network optimization using Graph Neural Networks
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Building a Digital Twin for network optimization using Graph Neural Networks

Ferriol-Galmés, Miquel ; Suárez-Varela, José ; Paillissé, Jordi ; Shi, Xiang ; Xiao, Shihan ; Cheng, Xiangle ; Barlet-Ros, Pere ; Cabellos-Aparicio, Albert

Computer networks (Amsterdam, Netherlands : 1999), 2022-11, Vol.217, p.109329, Article 109329 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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17
A comprehensive survey on optimizing deep learning models by metaheuristics
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A comprehensive survey on optimizing deep learning models by metaheuristics

Akay, Bahriye ; Karaboga, Dervis ; Akay, Rustu

The Artificial intelligence review, 2022-02, Vol.55 (2), p.829-894 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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18
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
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Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture

Listou Ellefsen, André ; Bjørlykhaug, Emil ; Æsøy, Vilmar ; Ushakov, Sergey ; Zhang, Houxiang

Reliability engineering & system safety, 2019-03, Vol.183, p.240-251 [Periódico revisado por pares]

Barking: Elsevier Ltd

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19
Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model
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Construction and verification of retinal vessel segmentation algorithm for color fundus image under BP neural network model

Tang, Siyuan ; Yu, Feifei

The Journal of supercomputing, 2021-04, Vol.77 (4), p.3870-3884 [Periódico revisado por pares]

New York: Springer US

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20
Decoupling Semantic and Edge Representations for Building Footprint Extraction from Remote Sensing Images
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Decoupling Semantic and Edge Representations for Building Footprint Extraction from Remote Sensing Images

Guo, Haonan ; Su, Xin ; Wu, Chen ; Du, Bo ; Zhang, Liangpei

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1 [Periódico revisado por pares]

New York: IEEE

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