imbalanced data

Cost-sensitive parallel learning framework for insurance intelligence operation

Recent advancements in artificial intelligence (AI) are providing the insurance industry with new opportunities to create tailored solutions and services based on newfound knowledge of consumers, and the execution of enhanced operations and business …

Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data

Analyzing accumulated data has recently attracted huge attention for its ability to generate values by identifying useful information and providing an edge in global business competition. However, heterogeneous data and imbalanced class distribution …