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Object Detection With Deep Learning: A Review

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

2019

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

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

2021

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

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

2022

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Recent advances in small object detection based on deep learning: A review

Image and vision computing, 2020-05, Vol.97, p.103910, Article 103910

2020

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

IEEE transaction on neural networks and learning systems, 2021-11, Vol.32 (11), p.4793-4813

2021

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A Comprehensive Survey on Graph Neural Networks

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

2021

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Weighted boxes fusion: Ensembling boxes from different object detection models

Image and vision computing, 2021-03, Vol.107, p.104117, Article 104117

2021

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Privacy and Robustness in Federated Learning: Attacks and Defenses

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.8726-8746

2024

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

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

2021

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Adversarial Examples: Attacks and Defenses for Deep Learning

IEEE transaction on neural networks and learning systems, 2019-09, Vol.30 (9), p.2805-2824

2019

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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

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

2022

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Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5619-5629

2018

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Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

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

2018

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Learning From Noisy Labels With Deep Neural Networks: A Survey

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

2023

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A survey of multimodal sentiment analysis

Image and vision computing, 2017-09, Vol.65, p.3-14

2017

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Deep learning-based object detection in low-altitude UAV datasets: A survey

Image and vision computing, 2020-12, Vol.104, p.104046, Article 104046

2020

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Nature-Inspired Optimization Algorithms

Yang, Xin-She

1st ed., 2014

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Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

IEEE transaction on neural networks and learning systems, 2021-03, Vol.32 (3), p.1124-1135

2021

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Attention in Natural Language Processing

IEEE transaction on neural networks and learning systems, 2021-10, Vol.32 (10), p.4291-4308

2021

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A review on genetic algorithm: past, present, and future

Multimedia tools and applications, 2021-02, Vol.80 (5), p.8091-8126

2021

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Deep Subdomain Adaptation Network for Image Classification

IEEE transaction on neural networks and learning systems, 2021-04, Vol.32 (4), p.1713-1722

2021

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LSTM: A Search Space Odyssey

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2222-2232

2017

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Deep Neural Networks and Tabular Data: A Survey

IEEE transaction on neural networks and learning systems, 2024-06, Vol.35 (6), p.7499-7519

2024

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

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

2020

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A Survey on Evolutionary Neural Architecture Search

IEEE transaction on neural networks and learning systems, 2023-02, Vol.34 (2), p.550-570

2023

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Object Detection With Deep Learning: A Review

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

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

Recent advances in small object detection based on deep learning: A review

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

A Comprehensive Survey on Graph Neural Networks

Weighted boxes fusion: Ensembling boxes from different object detection models

Privacy and Robustness in Federated Learning: Attacks and Defenses

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

Adversarial Examples: Attacks and Defenses for Deep Learning

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Learning From Noisy Labels With Deep Neural Networks: A Survey

A survey of multimodal sentiment analysis

Deep learning-based object detection in low-altitude UAV datasets: A survey

Nature-Inspired Optimization Algorithms

Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser

Attention in Natural Language Processing

A review on genetic algorithm: past, present, and future

Deep Subdomain Adaptation Network for Image Classification

LSTM: A Search Space Odyssey

Deep Neural Networks and Tabular Data: A Survey

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

A Survey on Evolutionary Neural Architecture Search

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