Deep Learning the Dynamics of Mechanical Systems

Uncertainty quantification for tensor network constrained kernel machines: A frequentist and Bayesian approach

Early MPN detection in laboratory setting

The Expressive Power of (Multi)Set-based higher-order Graph Neural Networks

Developing a level-1B qualifiable CNN for in-situ ultrasonic damage classification of aerospace composite structures: An in-depth evaluation on the end-to-end process of developing a data-driven tool

Innovaiting Responsibly: Discovering the Opportunities and Risks of Foundation Models

Two phase implementation of a machine learning (ML) model in demand forecasting for organisations

Sound environment monitoring system in NICU/PICU

Classification of Covert Vowels in Spanish and Dutch: What do brain signals say about inner speech?

The River Rotte Fish Migration Project: A bayesian Network approach for fish habitat suitability

Prediction of the clinical outcome of NMIBC using Artificial Intelligence

Microtubule Detection and Instance Segmentation using Deep Convolutional Neural Networks

Neural-Network Based Thermal Modeling of Small Satellites: A First-Principles Approach

Machine Learning-Assisted Analysis of Energy Consumption Profiles and Efficiency in Uilenstede Campus Buildings: An Analysis of User Energy Profile Patterns and Clustering of Uilenstede Campus Energy Consumption Data

Correcting Global Elevation Models for Canopy and Infrastructure Using a Residual U-Net

Tailoring Attacks To Federated Continual Learning Models

Identifying biological markers in the gut microbiome associated with celiac disease using machine learning

Finding Biomarkers for Type 2 Diabetes

Empirical Investigation of Learning Curves: Assessing Convexity Characteristics

Bridging the Knowledge Gap: Identifying Essential Machine Learning Concepts for Effective Progression in Follow-Up Courses