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Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Khan, Salman H. ; Hayat, Munawar ; Bennamoun, Mohammed ; Sohel, Ferdous A. ; Togneri, Roberto

IEEE transaction on neural networks and learning systems, 2018-08, Vol.29 (8), p.3573-3587

United States: IEEE

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3
Extreme Learning Machine for Multilayer Perceptron
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Extreme Learning Machine for Multilayer Perceptron

Tang, Jiexiong ; Deng, Chenwei ; Huang, Guang-Bin

IEEE transaction on neural networks and learning systems, 2016-04, Vol.27 (4), p.809-821

United States: IEEE

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4
Evaluating the Visualization of What a Deep Neural Network Has Learned
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Evaluating the Visualization of What a Deep Neural Network Has Learned

Samek, Wojciech ; Binder, Alexander ; Montavon, Gregoire ; Lapuschkin, Sebastian ; Muller, Klaus-Robert

IEEE transaction on neural networks and learning systems, 2017-11, Vol.28 (11), p.2660-2673

United States: IEEE

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5
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

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Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives
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Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives

Yang, Chenguang ; Chen, Chuize ; He, Wei ; Cui, Rongxin ; Li, Zhijun

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.777-787

United States: IEEE

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7
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
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A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images

Liu, Jia ; Gong, Maoguo ; Qin, Kai ; Zhang, Puzhao

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.545-559

United States: IEEE

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8
Robust Structured Nonnegative Matrix Factorization for Image Representation
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Robust Structured Nonnegative Matrix Factorization for Image Representation

Li, Zechao ; Tang, Jinhui ; He, Xiaofei

IEEE transaction on neural networks and learning systems, 2018-05, Vol.29 (5), p.1947-1960

United States: IEEE

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9
Value Analysis and Mode Construction of Tutorial System for P2P Undergraduates in Computer Science--Based on the Reform Practice of Tutorial System in the College of Computer Science, Xi'an University of Technology
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Value Analysis and Mode Construction of Tutorial System for P2P Undergraduates in Computer Science--Based on the Reform Practice of Tutorial System in the College of Computer Science, Xi'an University of Technology

Ma, Fu ; Song, Yuanyuan

Journal of physics. Conference series, 2020-06, Vol.1575 (1), p.12229 [Periódico revisado por pares]

Bristol: IOP Publishing

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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Xu, Bin ; Yang, Chenguang ; Shi, Zhongke

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

New York, NY: IEEE

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