Building and roof type classification on 3D city models

Automatic defect identification during RRAM characterization

Detection of Distractions in Human Manual Control Tasks Using Machine Learning

Modelling of coupled reservoir and wellbore for energy transition

A hybrid ML-based model for improved detection of IoT botnets

Estimation of conditional CDFs using machine learning

Deep Learning the Dynamics of Mechanical Systems

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

On developers’ practices for hazard diagnosis in machine learning systems

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