GAN-generated Synthetic Data and SVM-based Feature Selection for Improved Cardiovascular Disease Prediction

AS Mandan, NM Hazzaa, O Yildiz - 2023 Medical …, 2023 - ieeexplore.ieee.org
Early diagnosis requires cardiovascular disease forecasting. Past patient interests can
improve machine learning predictions. This study uses a Generative Adversarial Network …

Comparative Analysis of Ad Click Behavior Prediction Using GAN-Augmented Data and Traditional Machine Learning Techniques

AS Salıhı, O Yıldız - Politeknik Dergisi - dergipark.org.tr
In e-commerce, predicting click-through rates (CTR) is crucial to anticipate user behavior.
User historical data can be used to extract interests and enhance CTR prediction, leading to …