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1
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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2
DNA Fountain enables a robust and efficient storage architecture
DNA Fountain enables a robust and efficient storage architecture
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DNA Fountain enables a robust and efficient storage architecture

Erlich, Yaniv ; Zielinski, Dina

Science (American Association for the Advancement of Science), 2017-03, Vol.355 (6328), p.950-954 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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3
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Efficient Online Learning Algorithms Based on LSTM Neural Networks
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Efficient Online Learning Algorithms Based on LSTM Neural Networks

Ergen, Tolga ; Kozat, Suleyman Serdar

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3772-3783

United States: IEEE

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4
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region
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Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

Moffitt, Jeffrey R ; Bambah-Mukku, Dhananjay ; Eichhorn, Stephen W ; Vaughn, Eric ; Shekhar, Karthik ; Perez, Julio D ; Rubinstein, Nimrod D ; Hao, Junjie ; Regev, Aviv ; Dulac, Catherine ; Zhuang, Xiaowei

Science (American Association for the Advancement of Science), 2018-11, Vol.362 (6416) [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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5
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
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fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs

Venieris, Stylianos I. ; Bouganis, Christos-Savvas

IEEE transaction on neural networks and learning systems, 2019-02, Vol.30 (2), p.326-342

United States: IEEE

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6
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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7
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Sakhavi, Siavash ; Guan, Cuntai ; Yan, Shuicheng

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

United States: IEEE

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8
An atlas of the protein-coding genes in the human, pig, and mouse brain
An atlas of the protein-coding genes in the human, pig, and mouse brain
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An atlas of the protein-coding genes in the human, pig, and mouse brain

Sjöstedt, Evelina ; Zhong, Wen ; Fagerberg, Linn ; Karlsson, Max ; Mitsios, Nicholas ; Adori, Csaba ; Oksvold, Per ; Edfors, Fredrik ; Limiszewska, Agnieszka ; Hikmet, Feria ; Huang, Jinrong ; Du, Yutao ; Lin, Lin ; Dong, Zhanying ; Yang, Ling ; Liu, Xin ; Jiang, Hui ; Xu, Xun ; Wang, Jian ; Yang, Huanming ; Bolund, Lars ; Mardinoglu, Adil ; Zhang, Cheng ; von Feilitzen, Kalle ; Lindskog, Cecilia ; Pontén, Fredrik ; Luo, Yonglun ; Hökfelt, Tomas ; Uhlén, Mathias ; Mulder, Jan

Science (American Association for the Advancement of Science), 2020-03, Vol.367 (6482), p.1090 [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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9
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
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The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing

Lein, Ed ; Borm, Lars E. ; Linnarsson, Sten

Science (American Association for the Advancement of Science), 2017-10, Vol.358 (6359), p.64-69 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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10
Living in cities, naturally
Living in cities, naturally
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Living in cities, naturally

Hartig, Terry ; Kahn, Peter H.

Science (American Association for the Advancement of Science), 2016-05, Vol.352 (6288), p.938-940 [Periódico revisado por pares]

United States: American Association for the Advancement of Science

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