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Teacher-Student Curriculum Learning

IEEE transaction on neural networks and learning systems, 2020-09, Vol.31 (9), p.3732-3740

2020

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Deep Reinforcement Learning for Autonomous Driving: A Survey

IEEE transactions on intelligent transportation systems, 2022-06, Vol.23 (6), p.4909-4926

2022

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Meta-Learning in Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169

2022

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The Emerging Trends of Multi-Label Learning

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7955-7974

2022

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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical image analysis, 2019-05, Vol.54, p.280-296

2019

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Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2021-11, Vol.43 (11), p.4037-4058

2021

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Deep Reinforcement Learning for Sequence-to-Sequence Models

IEEE transaction on neural networks and learning systems, 2020-07, Vol.31 (7), p.2469-2489

2020

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A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

Proceedings of the IEEE, 2021-03, Vol.109 (3), p.204-246

2021

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System Design for Epidemics Using Machine Learning and Deep Learning

1, 2023

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BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

IEEE transactions on geoscience and remote sensing, 2023, Vol.61, p.1-18

2023

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Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1088-1103

2019

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Few-shot Hyperspectral Image Classification with Self-supervised Learning

IEEE transactions on geoscience and remote sensing, 2023-01, Vol.61, p.1-1

2023

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Towards Safe Weakly Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2021-01, Vol.43 (1), p.334-346

2021

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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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Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

IEEE transactions on pattern analysis and machine intelligence, 2023-05, Vol.45 (5), p.5513-5533

2023

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Cost-Effective Active Learning for Deep Image Classification

IEEE transactions on circuits and systems for video technology, 2017-12, Vol.27 (12), p.2591-2600

2017

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Recent advances and clinical applications of deep learning in medical image analysis

Medical image analysis, 2022-07, Vol.79, p.102444-102444, Article 102444

2022

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Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks

IEEE/ACM transactions on networking, 2022-08, Vol.30 (4), p.1569-1584

2022

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Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

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A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

IEEE transaction on neural networks and learning systems, 2022-02, Vol.33 (2), p.473-493

2022

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Machine Learning Methods for Attack Detection in the Smart Grid

IEEE transaction on neural networks and learning systems, 2016-08, Vol.27 (8), p.1773-1786

2016

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Empowering Independent Living Using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults

Friedrich, Bjö

2024th edition, 2024

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

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

2018

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BRIDGE: Byzantine-Resilient Decentralized Gradient Descent

IEEE transactions on signal and information processing over networks, 2022, Vol.8, p.610-626

2022

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Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations

IEEE transactions on pattern analysis and machine intelligence, 2020-12, Vol.42 (12), p.3119-3135

2020

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Teacher-Student Curriculum Learning

Deep Reinforcement Learning for Autonomous Driving: A Survey

Meta-Learning in Neural Networks: A Survey

The Emerging Trends of Multi-Label Learning

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey

Deep Reinforcement Learning for Sequence-to-Sequence Models

A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

System Design for Epidemics Using Machine Learning and Deep Learning

BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine

Few-shot Hyperspectral Image Classification with Self-supervised Learning

Towards Safe Weakly Supervised Learning

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

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

Cost-Effective Active Learning for Deep Image Classification

Recent advances and clinical applications of deep learning in medical image analysis

Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks

Representation Learning: A Review and New Perspectives

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Machine Learning Methods for Attack Detection in the Smart Grid

Empowering Independent Living Using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults

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

BRIDGE: Byzantine-Resilient Decentralized Gradient Descent

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations

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