Transparency is a critical component when building artificial intelligence (AI) decision-
support tools, especially for contexts in which AI outputs impact people or policy. Effectively …

Digitalizing public administration is crucial for leveraging advanced technologies like
artificial intelligence to improve governance and public service delivery. However, the …

Digital twin models are of high interest to Head and Neck Cancer (HNC) oncologists, who
have to navigate a series of complex treatment decisions that weigh the efficacy of tumor …

Visualization Recommendation Systems (VRSs) are a novel and challenging field of study
aiming to help generate insightful visualizations from data and support non-expert users in …

Abstract Machine learning (ML) is becoming increasingly important in healthcare decision-
making, requiring highly interpretable insights from predictive models. Although integrating …

Safety, quality, and production are critical factors that impact an enterprise organization's
success in industries where tasks are human-centered. One emerging area to help mitigate …

The prevalent exploratory-first approach to acquire insights through visual analysis hinges
on the unstructured and unguided exploration of data. As a result, visualization …

This thesis discusses the use of genetic algorithms to tune the parameters of a chess
engine, resulting in a significant increase in playing strength. The design of the genetic …