59 citations · 144 across the 61 of their papers we have counts for
5 papers · 1 filter
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Qi Huang, Roy de Winter, Bas van Stein +2
Decades of progress in simulation-based surrogate-assisted optimization and unprecedented growth in computational power have enabled researchers and practitioners to optimize previ…
BBOB Instance Analysis: Landscape Properties and Algorithm Performance across Problem Instances
Fu Xing Long, Diederick Vermetten, Bas van Stein +1
Benchmarking is a key aspect of research into optimization algorithms, and as such the way in which the most popular benchmark suites are designed implicitly guides some parts of a…
Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes
Alexander Zeiser, Bas van Stein, Thomas Bäck
Anomaly detection describes methods of finding abnormal states, instances or data points that differ from a normal value space. Industrial processes are a domain where predicitve m…
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines
Marios Kefalas, Juan de Santiago Rojo, Asteris Apostolidis +3
Data-driven modeling is an imperative tool in various industrial applications, including many applications in the sectors of aeronautics and commercial aviation. These models are i…
Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images
Koen Ponse, Anna V. Kononova, Maria Loleyt +1
Automated symmetry detection is still a difficult task in 2021. However, it has applications in computer vision, and it also plays an important part in understanding art. This pape…