There is an increasing demand for medical care in the Netherlands, and overcrowding at the GP is a serious issue. In an attempt to alleviate some pressure from the GP, an automatic triage tool was developed to gauge how ...

With growing environmental challenges, schools play a vital role in equipping future generations with the knowledge and tools for a sustainable future. This thesis explores how primary eco-schools in the Netherlands implement ...

Hit prediction for global top charts is frequently studied within the research area referred to as Hit Song Science. Hit Song Science is concerned with predicting the hit potential of a song. As of now, research to hit ...

Federated learning allows multiple parties to collaboratively train a model without sharing sensitive data, making it suitable for applications such as border control, criminal investigation, and device security. However, ...

Bayesian networks are widely valued in artificial intelligence for their capacity to provide interpretable, probabilistic models of complex systems, particularly in settings marked by uncertainty. Robustness and explainability ...

Predictive policing is known to carry the risk of feedback loops that can amplify existing biases. While these loops have received considerable attention in academic research, they remain under-explored in other policing ...

Spin qubits have attracted significant attention in quantum computing due to their long coherence times and compatibility with semiconductor fabrication processes. However, quantum non-demolition (QND) readout of spin ...

Large Language Models (LLMs) show promise for generating programming hints, but current systems largely ignore behavioral data from student programming sessions. This thesis investigates whether integrating contextual ...