Fraud detection in financial statements using data mining and GAN models
Financial statements are analytical reports published periodically by financial institutions
explaining their performance from different perspectives. As these reports are the …
explaining their performance from different perspectives. As these reports are the …
A soft voting ensemble learning approach for credit card fraud detection
MA Mim, N Majadi, P Mazumder - Heliyon, 2024 - cell.com
With the advancement of e-commerce and modern technological development, credit cards
are widely used for both online and offline purchases, which has increased the number of …
are widely used for both online and offline purchases, which has increased the number of …
An Optimized Deep Learning Approach for Detecting Fraudulent Transactions
The proliferation of new technologies and advancements in existing ones are altering our
perspective of the world. So, continuous improvements are needed. A connected world filled …
perspective of the world. So, continuous improvements are needed. A connected world filled …
Financial Fraud Detection Based on Deep Learning: Towards Large-Scale Pre-training Transformer Models
H Wang, J Zheng, IE Carvajal-Roca, L Chen… - China Conference on …, 2023 - Springer
Fraud detection is a critical issue in the field of finance, as it can help to prevent fraud and
minimize losses caused by fraud. Deep learning techniques learn the intrinsic knowledge of …
minimize losses caused by fraud. Deep learning techniques learn the intrinsic knowledge of …
A weighted average ensemble learning based on the cuckoo search algorithm for fraud transactions detection
M Tayebi, S El Kafhali - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The identification and prevention of unauthorized credit card transactions are the goals of
credit card fraud transaction detection. Cardholders and financial institutions can lose …
credit card fraud transaction detection. Cardholders and financial institutions can lose …