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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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Generalizing from a Few Examples: A Survey on Few-shot Learning

ACM computing surveys, 2020-06, Vol.53 (3), p.1-34

2020

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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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A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

International journal of energy research, 2019-05, Vol.43 (6), p.1928-1973

2019

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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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Volltext

Self-Directed Learning: A Cognitive and Computational Perspective

Perspectives on psychological science, 2012-09, Vol.7 (5), p.464-481

2012

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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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Volltext

Analytics of time management strategies in a flipped classroom

Journal of computer assisted learning, 2020-02, Vol.36 (1), p.70-88

2020

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Process mining for self-regulated learning assessment in e-learning

Journal of computing in higher education, 2020-04, Vol.32 (1), p.74-88

2020

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Imitation Learning: A Survey of Learning Methods

ACM computing surveys, 2018-06, Vol.50 (2), p.1-35

2018

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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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Volltext

Provably efficient machine learning for quantum many-body problems

Science (American Association for the Advancement of Science), 2022-09, Vol.377 (6613), p.eabk3333-eabk3333

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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Volltext

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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Label Distribution Learning

IEEE transactions on knowledge and data engineering, 2016-07, Vol.28 (7), p.1734-1748

Geng, Xin

2016

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Volltext

Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology

The Plant journal : for cell and molecular biology, 2022-09, Vol.111 (6), p.1527-1538

2022

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Universal Approximation Capability of Broad Learning System and Its Structural Variations

IEEE transaction on neural networks and learning systems, 2019-04, Vol.30 (4), p.1191-1204

2019

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Volltext

Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges—A Practitioners’ Cookbook

ACM computing surveys, 2021-04, Vol.54 (1), p.1-39

2021

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A Systematic Literature Review on Personalised Learning in the Higher Education Context

Technology, knowledge and learning, 2023-06, Vol.28 (2), p.449-476

2023

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A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Mechanical systems and signal processing, 2022-03, Vol.167, p.108487, Article 108487

2022

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Hyperspectral Imagery Classification Based on Contrastive Learning

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13

2022

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Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10164-10173

2022

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Model-free reinforcement learning from expert demonstrations: a survey

The Artificial intelligence review, 2022-04, Vol.55 (4), p.3213-3241

2022

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First return, then explore

Nature (London), 2021-02, Vol.590 (7847), p.580-586

2021

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Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

SN computer science, 2021, Vol.2 (6), p.420-420, Article 420

Sarker, Iqbal H.

2021

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

Generalizing from a Few Examples: A Survey on Few-shot Learning

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

A new generation of AI: A review and perspective on machine learning technologies applied to smart energy and electric power systems

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

Self-Directed Learning: A Cognitive and Computational Perspective

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

Analytics of time management strategies in a flipped classroom

Process mining for self-regulated learning assessment in e-learning

Imitation Learning: A Survey of Learning Methods

Representation Learning: A Review and New Perspectives

Provably efficient machine learning for quantum many-body problems

Machine Learning Methods for Attack Detection in the Smart Grid

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

Label Distribution Learning

Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology

Universal Approximation Capability of Broad Learning System and Its Structural Variations

Potential Deep Learning Solutions to Persistent and Emerging Big Data Challenges—A Practitioners’ Cookbook

A Systematic Literature Review on Personalised Learning in the Higher Education Context

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Hyperspectral Imagery Classification Based on Contrastive Learning

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning

Model-free reinforcement learning from expert demonstrations: a survey

First return, then explore

Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions

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