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Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
E-commerce fraud detection based on machine learning techniques: Systematic literature review
The e-commerce industry's rapid growth, accelerated by the COVID-19 pandemic, has led to
an alarming increase in digital fraud and associated losses. To establish a healthy e …
an alarming increase in digital fraud and associated losses. To establish a healthy e …
[PDF][PDF] The effect of imbalanced data and parameter selection via genetic algorithm long short-term memory (LSTM) for financial distress prediction
Financial companies are grappling with a burning issue about bankruptcy prediction. There
are many methods for bankruptcy prediction, including statistical models and machine …
are many methods for bankruptcy prediction, including statistical models and machine …
A Novel Approach to Find Accuracy in Credit Card Fraud Detection Using Improved K-Nearest Neighbor Classifier Method Comparing with Logistic Regression …
GS Ruchitha, V Karthick, I Nasim - 2022 14th International …, 2022 - ieeexplore.ieee.org
The aim of this research is to identify the credit card fraud detection model using an
improved K-nearest neighbor classifier method to find the credit card fraudulent transactions …
improved K-nearest neighbor classifier method to find the credit card fraudulent transactions …
The best machine learning model for fraud detection on e-platforms: a systematic literature review
The internet has been instrumental in the development and facilitation of online payment
systems. However, its associated fraudulent activities on eplatforms cannot be overlooked …
systems. However, its associated fraudulent activities on eplatforms cannot be overlooked …
A Hybrid Approach for Fraudulent Transaction Detection: SMOTE-Autoencoder Framework
Y Patankar, K Sood - 2024 International Symposium on …, 2024 - ieeexplore.ieee.org
Fraudulent transactions pose significant challenges across various industries, especially
finance, leading to severe financial and reputational damage. Traditional rule-based fraud …
finance, leading to severe financial and reputational damage. Traditional rule-based fraud …
Improving RepVGG model with variational data imputation in COVID-19 classification
Millions of fatal cases have been reported worldwide as a result of the Coronavirus disease
2019 (COVID-19) outbreak. In order to stop the spreading of disease, early diagnosis and …
2019 (COVID-19) outbreak. In order to stop the spreading of disease, early diagnosis and …
[PDF][PDF] A COMPARATIVE ANALYSIS OF AUTOENCODERS FOR CREDIT CARD FRAUD DETECTION
ELA GUVEN - arno.uvt.nl
The rise in daily credit card usage has led to an increase in fraudulent transactions, resulting
in significant financial losses to institutions and the government. This study investigated the …
in significant financial losses to institutions and the government. This study investigated the …