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An adaptable and personalized framework for top-N course recommendations in online learning

Scientific reports, 2024-05, Vol.14 (1), p.10382-10382

2024

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Advanced confidence methods in deep learning

Physica A, 2024-05, Vol.641, Article 129758

2024

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Spatial-Spectral Contrastive Self-Supervised Learning With Dual Path Networks for Hyperspectral Target Detection

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-12

2024

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IEEE_Xplore

Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach

IEEE access, 2024, Vol.12, p.54049-54065

2024

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Multi-Input data ASsembly for joint Analysis

PloS one, 2024-05, Vol.19 (5), p.e0302425

2024

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Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges

Rani, Shalli

1, 2024

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Deep Learning for Smart Healthcare: Trends, Challenges and Applications

1, 2024

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Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification

IEEE signal processing letters, 2024, Vol.31, p.1-5

2024

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IEEE_Xplore

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation

Physics in medicine & biology, 2024-05, Vol.69 (11)

2024

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Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning

IEEE internet of things journal, 2024, Vol.11 (11), p.20223-20235

2024

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IEEE_Xplore

Neural Architecture Search-based Few-shot Learning for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-1

2024

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IEEE_Xplore

Coarse-to-fine visual representation learning for medical images via class activation maps

Computers in biology and medicine, 2024-03, Vol.171, p.108203-108203, Article 108203

2024

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A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction

Scientific reports, 2024-04, Vol.14 (1), p.9782-9782

2024

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Exploring simple triplet representation learning

Computational and structural biotechnology journal, 2024-12, Vol.23, p.1510-1521

2024

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A survey on imbalanced learning: latest research, applications and future directions

The Artificial intelligence review, 2024-06, Vol.57 (6), p.137

2024

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Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments

2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023, p.443-450

2023

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IEEE_Xplore

Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review

Engineering applications of artificial intelligence, 2024-07, Vol.133, Article 108529

2024

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Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification

BMC bioinformatics, 2024-03, Vol.25 (1), p.103-103

2024

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Quantum computing and artificial intelligence: training machine and deep learning algorithms on quantum computers

2023

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Review of machine learning in robotic grasping control in space application

Acta astronautica, 2024-07, Vol.220, p.37-61

2024

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Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning

Sensors (Basel, Switzerland), 2024-04, Vol.24 (7), p.2295

2024

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Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks

IEEE geoscience and remote sensing letters, 2024-01, Vol.21, p.1-1

2024

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IEEE_Xplore

Context-informed incremental learning improves both the performance and resilience of myoelectric control

Journal of neuroengineering and rehabilitation, 2024-05, Vol.21 (1), p.70-70

2024

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Decomposition and Meta-DRL Based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems

IEEE journal on selected areas in communications, 2024-05, Vol.42 (5), p.1115-1129

2024

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IEEE_Xplore

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach

The Journal of systems and software, 2024-07, Vol.213, Article 112053

2024

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An adaptable and personalized framework for top-N course recommendations in online learning

Advanced confidence methods in deep learning

Spatial-Spectral Contrastive Self-Supervised Learning With Dual Path Networks for Hyperspectral Target Detection

Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach

Multi-Input data ASsembly for joint Analysis

Emerging Technologies and the Application of WSN and IoT: Smart Surveillance, Public Security, and Safety Challenges

Deep Learning for Smart Healthcare: Trends, Challenges and Applications

Hard-Soft Pseudo Labels Guided Semi-Supervised Learning for Point Cloud Classification

Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation

Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning

Neural Architecture Search-based Few-shot Learning for Hyperspectral Image Classification

Coarse-to-fine visual representation learning for medical images via class activation maps

A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction

Exploring simple triplet representation learning

A survey on imbalanced learning: latest research, applications and future directions

Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments

Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review

Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification

Quantum computing and artificial intelligence: training machine and deep learning algorithms on quantum computers

Review of machine learning in robotic grasping control in space application

Anonymous Traffic Detection Based on Feature Engineering and Reinforcement Learning

Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks

Context-informed incremental learning improves both the performance and resilience of myoelectric control

Decomposition and Meta-DRL Based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems

Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach

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