Bart Baesens

Evaluating software defect prediction performance: an updated benchmarking study

2019 · arXiv (Cornell University)

Accurately predicting faulty software units helps practitioners target faulty units and prioritize their efforts to maintain software quality. Prior studies use machine-learning models to detect faulty software code. We revisit past studies and point out …

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks

2023 · arXiv (Cornell University)

Leveraging network information for predictive modeling has become widespread in many domains. Within the realm of referral and targeted marketing, influencer detection stands out as an area that could greatly benefit from the incorporation of …