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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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Deep Reinforcement Learning: A Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.5064-5078

2024

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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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When Is It Better to Learn Together? Insights from Research on Collaborative Learning

Educational psychology review, 2015-12, Vol.27 (4), p.645-656

2015

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Assessing impact of problem-based learning using data mining to extract learning patterns

Journal of applied research in higher education, 2024-03, Vol.16 (2), p.610-628

2024

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State representation learning for control: An overview

Neural networks, 2018-12, Vol.108, p.379-392

2018

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An Approach to Group Formation in Collaborative Learning Using Learning Paths in Learning Management Systems

IEEE transactions on learning technologies, 2021-10, Vol.14 (5), p.555-567

2021

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Generative Adversarial Attack on Ensemble Clustering

2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, p.3839-3848

2022

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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2019-08, Vol.41 (8), p.1979-1993

2019

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Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.8387-8396

2022

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Wav2CLIP: Learning Robust Audio Representations from Clip

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, p.4563-4567

2022

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Semi-Supervised and Unsupervised Extreme Learning Machines

IEEE transactions on cybernetics, 2014-12, Vol.44 (12), p.2405-2417

2014

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Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.7171-7180

2022

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Artificial Intelligence, Algorithmic Pricing, and Collusion

The American economic review, 2020-10, Vol.110 (10), p.3267-3297

2020

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Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.920-933

2014

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Improving Deep Metric Learning by Divide and Conquer

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.8306-8320

2022

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Constructing an Instrument with Behavioral Scales to Assess Teaching Quality in Blended Learning Modalities

Journal of new approaches in educational research, 2019, Vol.8 (2), p.142-165

2019

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Multiview Graph Restricted Boltzmann Machines

IEEE transactions on cybernetics, 2022-11, Vol.52 (11), p.12414-12428

2022

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Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System

IEEE transactions on fuzzy systems, 2023-09, Vol.31 (9), p.1-15

2023

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Coarse-to-Fine Contrastive Learning on Graphs

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.4622-4634

2024

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Generating 3D Adversarial Point Clouds

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.9128-9136

2019

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Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning

IEEE transactions on pattern analysis and machine intelligence, 2022-06, Vol.44 (6), p.2841-2855

2022

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Online Transfer Learning

Artificial intelligence, 2014-11, Vol.216, p.76-102

2014

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Overcoming catastrophic forgetting in neural networks

Proceedings of the National Academy of Sciences - PNAS, 2017-03, Vol.114 (13), p.3521-3526

2017

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Deep Reinforcement Learning for Adaptive Learning Systems

Journal of educational and behavioral statistics, 2023-04, Vol.48 (2), p.220-243

2023

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Analytics of time management strategies in a flipped classroom

Deep Reinforcement Learning: A Survey

Label Distribution Learning

When Is It Better to Learn Together? Insights from Research on Collaborative Learning

Assessing impact of problem-based learning using data mining to extract learning patterns

State representation learning for control: An overview

An Approach to Group Formation in Collaborative Learning Using Learning Paths in Learning Management Systems

Generative Adversarial Attack on Ensemble Clustering

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

Wav2CLIP: Learning Robust Audio Representations from Clip

Semi-Supervised and Unsupervised Extreme Learning Machines

Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation

Artificial Intelligence, Algorithmic Pricing, and Collusion

Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems

Improving Deep Metric Learning by Divide and Conquer

Constructing an Instrument with Behavioral Scales to Assess Teaching Quality in Blended Learning Modalities

Multiview Graph Restricted Boltzmann Machines

Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System

Coarse-to-Fine Contrastive Learning on Graphs

Generating 3D Adversarial Point Clouds

Centroid Estimation With Guaranteed Efficiency: A General Framework for Weakly Supervised Learning

Online Transfer Learning

Overcoming catastrophic forgetting in neural networks

Deep Reinforcement Learning for Adaptive Learning Systems

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