A multi-agent system for an intelligent driving instruction application: Modelling adaptive scenarios and feedback to improve the user experience

Real Time Interactive Collaborative Exploration of Urban Data with Virtual Reality

Adding fault tolerance to OpenCL: Through redundant heterogeneous computing

Bringing Formal Verification into Widespread Programming Language Ecosystems

Replacing the acquisition function in Bayesian optimization by a neural network: How effectively do meta-learned acquisition functions in Bayesian optimization perform when optimizing for control variates of unknown functions, as compared to BO with standard acquisition functions

An empirical analysis of entropy search in batch bayesian optimisation: A comprehensive study of function shape, batch size, noise level, and dimensionality impact on information-theoretic methods

Visualizing Complexity: Kernel Density Estimation in University Education: Investigating Misconceptions, Challenges, and the Role of Prior Knowledge in Comprehending KDE

Measuring students’ progress in Machine Learning: A case study of Decision Trees and Random Forests

Enhancing Historical Dutch OCR Accuracy with Post-Correction & Synthetic Data

Parallel cost-aware optimization of multidimensional black-box functions

Slicing methods for deep learning on volumetric data

Zero-Trust Architecture for Legal Entities

Building the Foundation for a Modern Tactile Internet Testbed

Collaborative Knowledge Based Engineering

Understanding weight-magnitude hyperparameters in training binary networks

How to remove dependencies from large software projects with confidence

Recognising Gestures Using Ambient Light and Convolutional Neural Networks: Adapting Convolutional Neural Networks for Gesture Recognition on Resource-constrained Microcontrollers

A New Baseline for Feature Description on Multimodal Scans of Paintings

Scale invariant image registration in the domain of art conservation

Aligning non-exact copies of artworks with their original