Researcher
Nicolas Knudde
- Disciplines:Probability theory, Machine learning and decision making, Neural, evolutionary and fuzzy computation, Adaptive agents and intelligent robotics, Artificial intelligence not elsewhere classified
Affiliations
- Department of Information technology (Department)
Member
From8 Aug 2016 → 26 Sep 2021
Publications
1 - 10 of 21
- Adaptive sampling with automatic stopping for feasible region identification in engineering design(2022)
Authors: Jixiang Qing, Nicolas Knudde, Federico Garbuglia, Domenico Spina, Ivo Couckuyt, Tom Dhaene
Pages: 1955 - 1972 - Bayesian active learning for multi-objective feasible region identification in microwave devices(2021)
Authors: Federico Garbuglia, Jixiang Qing, Nicolas Knudde, Domenico Spina, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Pages: 400 - 403 - Multi-objective Bayesian optimization for engineering simulation(2020)Series: Studies in Computational Intelligence
Authors: Joachim van der Herten, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, T Bartz-Beielstein, B Filipic, P Korosec, E Talbi
Pages: 47 - 68 - A set based design method using bayesian active learning(2020)
Authors: K. Shintani, T. Sugai, J. Ishizaki, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene
Number of pages: 1 - Bayesian active learning for electromagnetic structure design(2020)
Authors: Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Domenico Spina, Tom Dhaene
Number of pages: 1 - Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients(2020)
Authors: Jolan Wauters, Ivo Couckuyt, Nicolas Knudde, Tom Dhaene, Joris Degroote
Pages: 353 - 364 - Data-efficient Gaussian process regression for accurate visible light positioning(2020)
Authors: Nicolas Knudde, Willem Raes, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
Pages: 1705 - 1709 - Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning(2020)
Authors: Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
- Hierarchical Gaussian process models for improved metamodeling(2020)
Authors: Nicolas Knudde, Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
- Batch Bayesian active learning for feasible region identification by local penalization(2020)
Authors: Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani
Pages: 2779 - 2790