Theses: Recent submissions
Now showing items 761-780 of 46503
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The Effects of Non-verbal Turn-Taking Cues in an Open-Domain Human-Robot Conversation
(2025)Older conversational systems like ELIZA and modern digital assistants like Alexa rely on a simple turn-taking system based upon gaps of silence between turns. However, these question-answering and command-and-action systems ... -
Using Vision and Language models for Uncertainty-Aware Image Captioning
(2025)This thesis investigates how uncertainty can be integrated into image captioning models, focusing on generating captions that express appropriate levels of confidence. Using the HL Dataset, a human-annotated image-text ... -
Bridging policy and technology: AI transparency in healthcare
(2025)The healthcare sector faces growing pressure due to personnel shortages. Artificial intelligence (AI) could help to maintain healthcare accessible, affordable and of high quality. This thesis explores how AI-assisted ... -
Uncovering Railway Infrastructure: AI-Driven Segmentation of Dense Point Clouds
(2025)This thesis explores the potential of using advanced Artificial Intelli- gence techniques to automate the segmentation of railway point clouds to facilitate creating accurate object inventories. The motivation for this ... -
Enhancing Human Contact Signatures Estimation Through Multi-View Integration in Complex Parent-Infant Free Play Interactions
(2025)Understanding early parent–infant interactions, particularly those involving physical touch, is vital for assessing developmental progress and emotional bonding. Recent AI-based systems have shown promising results in ... -
Development and evaluation of the Python educational ontology
(2025)This thesis explores the development of an educational ontology for Python, designed to serve as a domain model for adaptive learning systems and support the annotation of programming exercises using large language models ... -
Automatically Analysing the Wrong Triage Decisions of 'Moet ik naar de dokter' recommender system
(2025)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 ... -
Cue Classification in Preterm Infants Using Vision-Language Models
(2025)Premature infants in the Neonatal Intensive Care Unit (NICU) require continuous monitoring to ensure responsive and personalized care. Behavioral cues such as facial expressions and hand movements offer non-invasive insights ... -
Towards Automated Infant Hand Gesture Recognition for Predicting Language Development
(2025)Infant hand gestures such as pointing, showing, and giving are known predictors of early language development. However, automated recognition of infant gestures remains an underexplored task, particularly due to the scarcity ... -
Exploring Key Elements and Pedagogical Approaches used in Eco-Schools Through a Qualitative Research
(2025)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 ... -
Automated detection of positive/negative shyness in children from videos
(2025)Shyness in infancy has often been approached as a unidimensional, negative construct linked to social withdrawal. However, recent research introduces a nuanced perspective: shyness can also be positive and socially adaptive. ... -
Examining Whether Commonly Used Acoustic-Based Hit Prediction Methods Can Be Applied to the Dutch Top 40
(2025)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 ... -
Feature Reduction for Scenario-Based Safety Assessment of Automated Vehicles
(2025)Automated Vehicles (AVs) have the potential to significantly reduce road crashes. To enable widespread adoption of AVs, rigorous safety assessment is essential. Valuable insights for AV safety validation can be gained by ... -
White-box passive attacks and robust model learning defenses on image classification models
(2025)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, ... -
Under Pressure: Examining the Influence of AI and Human Expert Advice on Decision-Making Under Time Constraints
(2025)In high-stakes environments, individuals may rely on external advice to reduce the negative effects of time pressure on decision quality. This study examined how the source of advice (AI vs. human), its quality (60% vs. ... -
Identifying synergistic relationships in Bayesian networks: From one-way to two-way sensitivity analysis
(2025)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 ... -
The effect of fixed, data driven image scan patterns on Vision Mamba performance
(2025)Mamba-based vision models show promise as successors to Transformer-based models due to their competitive performance and significant efficiency improvements, but are constrained by fixed, predetermined scan patterns. These ... -
Feedback Loops in AI-Based Decision-Aid Systems
(2025)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 ... -
It takes a network to want a child: Explaining fertility intentions with graph neural networks
(2025)How does one’s social network influence their fertility intentions, and which network variables are most influential? In this thesis the application of graph neural networks is explored to analyse how social networks ...