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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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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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3
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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4
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
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Optimal and Autonomous Control Using Reinforcement Learning: A Survey

Kiumarsi, Bahare ; Vamvoudakis, Kyriakos G. ; Modares, Hamidreza ; Lewis, Frank L.

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2042-2062

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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6
A Comprehensive Survey on Graph Neural Networks
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A Comprehensive Survey on Graph Neural Networks

Wu, Zonghan ; Pan, Shirui ; Chen, Fengwen ; Long, Guodong ; Zhang, Chengqi ; Yu, Philip S.

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

United States: IEEE

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7
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

Fan, Deng-Ping ; Lin, Zheng ; Zhang, Zhao ; Zhu, Menglong ; Cheng, Ming-Ming

IEEE transaction on neural networks and learning systems, 2021-05, Vol.32 (5), p.2075-2089

United States: IEEE

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8
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
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Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture

Chen, C. L. Philip ; Liu, Zhulin

IEEE transaction on neural networks and learning systems, 2018-01, Vol.29 (1), p.10-24

United States: IEEE

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9
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory
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Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory

Jin, Jing ; Xiao, Ruocheng ; Daly, Ian ; Miao, Yangyang ; Wang, Xingyu ; Cichocki, Andrzej

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4814-4825

United States: IEEE

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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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