Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Bas Van Stein"'
Autor:
Bas Van Stein, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland C. H. J. Van Ham, Thomas Back
Publikováno v:
IEEE Access, Vol 10, Pp 103364-103381 (2022)
Explainable Artificial Intelligence (XAI) is an increasingly important field of research required to bring AI to the next level in real-world applications. Global sensitivity analysis (GSA) methods play an important role in XAI, as they can provide a
Externí odkaz:
https://doaj.org/article/912602b853f048eea9e8c199e54528ad
Publikováno v:
at - Automatisierungstechnik. 71:81-89
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 models are needed for finding anomalous data instances for quality enha
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783031302282
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fceff5c09b4cb7a0ca7e23f443431d9c
https://doi.org/10.1007/978-3-031-30229-9_25
https://doi.org/10.1007/978-3-031-30229-9_25
Autor:
Elena Raponi, Bas Van Stein
Publikováno v:
Journal of Open Source Software, 7(78):4721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b6bf3d4ce9f42e27a235d0e2a4d2f3d
http://hdl.handle.net/1887/3515317
http://hdl.handle.net/1887/3515317
Publikováno v:
Memetic Computing, 14, 151-174. Springer Science and Business Media {LLC}
This paper proposes the Self-Adaptive algorithm for Multi-Objective Constrained Optimization by using Radial Basis Function Approximations, SAMO-COBRA. This algorithm automatically determines the best Radial Basis Function-fit as surrogates for the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3be504e3002603eedcc819613f563b1d
https://hdl.handle.net/1887/3303466
https://hdl.handle.net/1887/3303466
Publikováno v:
Computers in Industry. 146:103852
Autor:
Marios Kefalas, Juan de Santiago Rojo, Asteris Apostolidis, Dirk van den Herik, Bas van Stein, Thomas Bäck
Publikováno v:
Journal of Aerospace Information Systems. American Institute of Aeronautics and Astronautics (AIAA)
Journal of Aerospace Information Systems
Journal of Aerospace Information Systems, 19(6), 447-454. American Institute of Aeronautics and Astronautics
Journal of Aerospace Information Systems
Journal of Aerospace Information Systems, 19(6), 447-454. American Institute of Aeronautics and Astronautics
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 in charge of providing key insights, such as which parameters are impor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b591cfa3c80265225f0d8648f616fd43
http://hdl.handle.net/1887/3281132
http://hdl.handle.net/1887/3281132
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 paper focuses on aiding the latter by comparing different state-of-the-art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c0cc515d721547807da2f40dce7bdc
Publikováno v:
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation, 26(2), 206-217. Institute of Electrical and Electronics Engineers (IEEE)
IEEE Transactions on Evolutionary Computation, 26(2), 206-217. Institute of Electrical and Electronics Engineers (IEEE)
The choice of design representations, as of search operators, is central to the performance of evolutionary optimization algorithms, in particular for multi-task problems. The multi-task approach pushes further the parallelization aspect of these alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b1ea91961e05bc9b810909e328c51e
https://doi.org/10.1109/tevc.2021.3086308
https://doi.org/10.1109/tevc.2021.3086308
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783030954666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f449e426204883689d2f064d353f447b
https://doi.org/10.1007/978-3-030-95467-3_12
https://doi.org/10.1007/978-3-030-95467-3_12