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A reconstruction error-based framework for label noise detection

Journal of big data, 2021-04, Vol.8 (1), p.1-16, Article 57

2021

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The effect of feature extraction and data sampling on credit card fraud detection

Journal of big data, 2023-12, Vol.10 (1), p.6-17, Article 6

2023

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Synthesizing class labels for highly imbalanced credit card fraud detection data

Journal of big data, 2024-12, Vol.11 (1), p.38-22, Article 38

2024

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Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning

Journal of big data, 2023-12, Vol.10 (1), p.106-20, Article 106

2023

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COVID-19 Diagnosis Using Capsule Network and Fuzzy C-Means and Mayfly Optimization Algorithm

BioMed research international, 2021-10, Vol.2021, p.2295920-11

2021

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A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud

2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 2024, p.141-149

2024

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Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling

2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, p.217-223

2021

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Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method

2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), 2023, p.303-308

2023

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A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder

2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 2022, p.63-68

2022

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A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data

2022 IEEE 4th International Conference on Cognitive Machine Intelligence (CogMI), 2022, p.52-58

2022

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Finger Knuckle Print Classification Using Pretrained Vision Models

2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET), 2023, p.62-67

2023

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A reconstruction error-based framework for label noise detection

The effect of feature extraction and data sampling on credit card fraud detection

Synthesizing class labels for highly imbalanced credit card fraud detection data

Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning

COVID-19 Diagnosis Using Capsule Network and Fuzzy C-Means and Mayfly Optimization Algorithm

A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud

Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling

Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method

A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder

A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data

Finger Knuckle Print Classification Using Pretrained Vision Models

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