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Refinado por: assunto: Computer Science, Artificial Intelligence remover
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1
Object Detection With Deep Learning: A Review
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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2
Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints
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

IEEE

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3
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

Li, Zewen ; Liu, Fan ; Yang, Wenjie ; Peng, Shouheng ; Zhou, Jun

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.6999-7019

United States: IEEE

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4
A Comprehensive Survey on Graph Neural Networks
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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5
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Ji, Shaoxiong ; Pan, Shirui ; Cambria, Erik ; Marttinen, Pekka ; Yu, Philip S.

IEEE transaction on neural networks and learning systems, 2022-02, Vol.33 (2), p.494-514

United States: IEEE

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6
Learning From Noisy Labels With Deep Neural Networks: A Survey
Learning From Noisy Labels With Deep Neural Networks: A Survey
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Learning From Noisy Labels With Deep Neural Networks: A Survey

Song, Hwanjun ; Kim, Minseok ; Park, Dongmin ; Shin, Yooju ; Lee, Jae-Gil

IEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.8135-8153

United States: IEEE

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7
Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints
Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints
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Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

Li, Yongming ; Liu, Yanjun ; Tong, Shaocheng

IEEE transaction on neural networks and learning systems, 2022-07, Vol.PP (7), p.1-15

United States: IEEE

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8
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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A Survey of the Usages of Deep Learning for Natural Language Processing

Otter, Daniel W. ; Medina, Julian R. ; Kalita, Jugal K.

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604-624

United States: IEEE

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9
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
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

IEEE

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10
An L 1 -and- L 2 -Norm-Oriented Latent Factor Model for Recommender Systems
An L 1 -and- L 2 -Norm-Oriented Latent Factor Model for Recommender Systems
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An L 1 -and- L 2 -Norm-Oriented Latent Factor Model for Recommender Systems

Wu, Di ; Shang, Mingsheng ; Luo, Xin ; Wang, Zidong

IEEE transaction on neural networks and learning systems, 2022-10, Vol.33 (10), p.5775-5788

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