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1
Object Detection With Deep Learning: A Review
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Object Detection With Deep Learning: A Review

Zhao, Zhong-Qiu ; Zheng, Peng ; Xu, Shou-Tao ; Wu, Xindong

IEEE transaction on neural networks and learning systems, 2019-11, Vol.30 (11), p.3212-3232

United States: IEEE

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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
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Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

Sattler, Felix ; Wiedemann, Simon ; Muller, Klaus-Robert ; Samek, Wojciech

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3400-3413

Piscataway: IEEE

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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
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Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints

Sattler, Felix ; Muller, Klaus-Robert ; Samek, Wojciech

IEEE transaction on neural networks and learning systems, 2021-08, Vol.32 (8), p.3710-3722

Piscataway: IEEE

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4
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
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An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints

Deb, Kalyanmoy ; Jain, Himanshu

IEEE transactions on evolutionary computation, 2014-08, Vol.18 (4), p.577-601 [Periódico revisado por pares]

New York, NY: IEEE

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5
Completely Automated CNN Architecture Design Based on Blocks
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Completely Automated CNN Architecture Design Based on Blocks

Sun, Yanan ; Xue, Bing ; Zhang, Mengjie ; Yen, Gary G.

IEEE transaction on neural networks and learning systems, 2020-04, Vol.31 (4), p.1242-1254

United States: IEEE

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6
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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7
Domain Adaptation via Transfer Component Analysis
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Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan ; Tsang, Ivor W ; Kwok, James T ; Qiang Yang

IEEE transactions on neural networks, 2011-02, Vol.22 (2), p.199-210

New York, NY: IEEE

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8
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Liu, Derong ; Wei, Qinglai

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

New York, NY: IEEE

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9
A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients
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A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

Grondman, I. ; Busoniu, L. ; Lopes, G. A. D. ; Babuska, R.

IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews, 2012-11, Vol.42 (6), p.1291-1307 [Periódico revisado por pares]

New-York, NY: IEEE

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10
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks
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Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks

Kwon, O-Yeon ; Lee, Min-Ho ; Guan, Cuntai ; Lee, Seong-Whan

IEEE transaction on neural networks and learning systems, 2020-10, Vol.31 (10), p.3839-3852

United States: IEEE

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