We introduce the concept of algorithmic insurance and present a quantitative framework to
enable the pricing of the derived insurance contracts. Our approach outlines how properties …

Credit card fraud is a significant problem that costs billions of dollars annually. Detecting
fraudulent transactions is challenging due to the imbalance in class distribution, where the …

Imbalanced Learning is a significant issue in machine learning, affecting the performance
and accuracy of binary or multi-classification algorithms, especially in large-scale data …

As machine learning algorithms start to get integrated into the decision-making process of
companies and organizations, insurance products are being developed to protect their …

Over the past decades, analytics have provided the promise of revolutionizing healthcare,
providing more effective, patient-centered, and personalized care. As an increasing amount …