Ontology-Based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns

Quantum reinforcement learning: Comparing quantum annealing and gate-based quantum computing with classical deep reinforcement learning

Why Response Matters: Simultaneous Bi-Level Optimization for Network Design Problems

Autoregressive graph Volterra models and applications

Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism

Unsupervised Clustering of Individuals Sharing Selective Attentional Focus Using Physiological Synchrony

Machine Learning: A Data Driven Burnout Risk Analysis

Design of a cloud-based data platform for standardized machine learning workflows with applications to transport infrastructure

AI-based detection of DNS misuse for network security

Classification of flight phases based on pilots' visual scanning strategies

FAIR Digital Twins for Data-Intensive Research

A Systematic Approach for Interfacing Component-Based Software with an Active Automata Learning Tool

Determination of Satellite Solar panel and bus size from radar images with deep learning

A synthetic Data Generator for Smart Grids based on the Variational-Autoencoder Technique and Linked Data Paradigm

Differentially Private Block Coordinate Descent for Linear Regression on Vertically Partitioned Data

An Augmented Reality Solution for the Positive Behaviour Intervention and Support

Geleerde lessen uit interventieonderzoek naar arbeidsmarktdiscriminatie

Clustering-based spatial transfer learning for short-term ozone forecasting

Systematic Comparison of Supervised Learning Methods to Reduce Calibration Effort in Engine Control Development

Learning Time-Varying Graphs form Online Data