8 citations · 9 across the 5 of their papers we have counts for
9 papers
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…
Emergence of Structural Bias in Differential Evolution
Bas van Stein, Fabio Caraffini, Anna V. Kononova
Heuristic optimisation algorithms are in high demand due to the overwhelming amount of complex optimisation problems that need to be solved. The complexity of these problems is wel…
Neural Network Design: Learning from Neural Architecture Search
Bas van Stein, Hao Wang, Thomas Bäck
Neural Architecture Search (NAS) aims to optimize deep neural networks' architecture for better accuracy or smaller computational cost and has recently gained more research interes…