Federica Sarro

Investigating fairness in ML systems considering multiple protected attributes.

This study reveals biases in how autonomous cars detect pedestrians based on age and skin tone.

A framework to accurately measure energy use in deep learning systems.

An analysis of fairness discussions among software engineers on Stack Exchange.

GreenStableYolo balances image quality and speed in AI-generated visuals.

This study explores how LLMs assist developers in grasping quantum algorithms effectively.

Insights into the needs and expectations of software engineers for log anomaly detection tools.

Learn how input mutation can enhance fairness in machine learning systems.

Researchers aim to optimize language models to enhance efficiency and reduce costs.