François Hu

Addressing fairness in machine learning models across multiple tasks.

This article examines bias in insurance predictions and solutions for equitable treatment.

Science shapes our world, impacts society, and enhances our quality of life.

A new method to achieve fairness across multiple sensitive attributes in algorithms.

Examining biases in predictive models for real estate pricing using geospatial data.

Explore the critical role of calibration in improving model reliability.

Accurate predictions depend on proper calibration to match probabilities with actual outcomes.