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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Computer Science, Artificial Intelligence remover assunto: Computer Science, Theory & Methods remover
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1
Scene Recognition by Manifold Regularized Deep Learning Architecture
Scene Recognition by Manifold Regularized Deep Learning Architecture
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Scene Recognition by Manifold Regularized Deep Learning Architecture

Yuan, Yuan ; Mou, Lichao ; Lu, Xiaoqiang

IEEE transaction on neural networks and learning systems, 2015-10, Vol.26 (10), p.2222-2233

United States: IEEE

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2
Optimized Backstepping for Tracking Control of Strict-Feedback Systems
Optimized Backstepping for Tracking Control of Strict-Feedback Systems
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Optimized Backstepping for Tracking Control of Strict-Feedback Systems

Wen, Guoxing ; Ge, Shuzhi Sam ; Tu, Fangwen

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3850-3862

United States: IEEE

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3
Learning Deep Hierarchical Visual Feature Coding
Learning Deep Hierarchical Visual Feature Coding
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Learning Deep Hierarchical Visual Feature Coding

Hanlin Goh ; Thome, Nicolas ; Cord, Matthieu ; Joo-Hwee Lim

IEEE transaction on neural networks and learning systems, 2014-12, Vol.25 (12), p.2212-2225

United States: IEEE

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4
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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5
LSTM: A Search Space Odyssey
LSTM: A Search Space Odyssey
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LSTM: A Search Space Odyssey

Greff, Klaus ; Srivastava, Rupesh K. ; Koutnik, Jan ; Steunebrink, Bas R. ; Schmidhuber, Jurgen

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2222-2232

United States: IEEE

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6
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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7
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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8
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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9
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
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Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis

Tran, Dat Thanh ; Iosifidis, Alexandros ; Kanniainen, Juho ; Gabbouj, Moncef

IEEE transaction on neural networks and learning systems, 2019-05, Vol.30 (5), p.1407-1418

United States: IEEE

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10
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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