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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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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
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An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis

Shamsi, Afshar ; Asgharnezhad, Hamzeh ; Jokandan, Shirin Shamsi ; Khosravi, Abbas ; Kebria, Parham M. ; Nahavandi, Darius ; Nahavandi, Saeid ; Srinivasan, Dipti

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1408-1417

United States: IEEE

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3
Automated EEG-based screening of depression using deep convolutional neural network
Automated EEG-based screening of depression using deep convolutional neural network
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Automated EEG-based screening of depression using deep convolutional neural network

Acharya, U. Rajendra ; Oh, Shu Lih ; Hagiwara, Yuki ; Tan, Jen Hong ; Adeli, Hojjat ; Subha, D. P

Computer methods and programs in biomedicine, 2018-07, Vol.161, p.103-113 [Periódico revisado por pares]

Ireland: Elsevier B.V

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4
Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
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Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning

Liu, Weirong ; Zhuang, Peng ; Liang, Hao ; Peng, Jun ; Huang, Zhiwu

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2192-2203

United States: IEEE

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Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
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Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks

Modares, Hamidreza ; Lewis, Frank L. ; Naghibi-Sistani, Mohammad-Bagher

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1513-1525

New York, NY: IEEE

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Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption
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Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption

Li, Hongfei ; Li, Chuandong ; Ouyang, Deqiang ; Nguang, Sing Kiong

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1460-1473

United States: IEEE

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7
Hierarchical Deep Reinforcement Learning for Continuous Action Control
Hierarchical Deep Reinforcement Learning for Continuous Action Control
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Hierarchical Deep Reinforcement Learning for Continuous Action Control

Yang, Zhaoyang ; Merrick, Kathryn ; Jin, Lianwen ; Abbass, Hussein A.

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5174-5184

United States: IEEE

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8
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network
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Chaotic Time Series Prediction Based on a Novel Robust Echo State Network

Li, Decai ; Han, Min ; Wang, Jun

IEEE transaction on neural networks and learning systems, 2012-05, Vol.23 (5), p.787-799

New York, NY: IEEE

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9
TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories
TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories
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TRAVIS - A Free Analyzer and Visualizer for Monte Carlo and Molecular Dynamics Trajectories

Brehm, Martin ; Kirchner, Barbara

Journal of chemical information and modeling, 2011-08, Vol.51 (8), p.2007-2023 [Periódico revisado por pares]

Washington, DC: American Chemical Society

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10
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
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Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence

Hirose, A. ; Yoshida, S.

IEEE transaction on neural networks and learning systems, 2012-04, Vol.23 (4), p.541-551

New York, NY: IEEE

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