Nicolas Knudde
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Indoor person identification using a low-power FMCW radar
B Vandersmissen, N Knudde, A Jalalvand, I Couckuyt, A Bourdoux, ...
IEEE Transactions on Geoscience and Remote Sensing 56 (7), 3941-3952, 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow
N Knudde, J van der Herten, T Dhaene, I Couckuyt
arXiv preprint arXiv:1711.03845, 2017
Indoor human activity recognition using high-dimensional sensors and deep neural networks
B Vandersmissen, N Knudde, A Jalalvand, I Couckuyt, T Dhaene, ...
Neural Computing and Applications, 1-15, 2019
Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar
N Knudde, B Vandersmissen, K Parashar, I Couckuyt, A Javaland, ...
European Radar Conference 14, 61-64, 2017
Active learning for feasible region discovery
N Knudde, I Couckuyt, K Shintani, T Dhaene
2019 18th IEEE International Conference On Machine Learning And Applications†…, 2019
Data-Efficient Bayesian Optimization with Constraints for Power Amplifier Design
N Knudde, I Couckuyt, D Spina, K Łukasik, P Barmuta, D Schreurs, ...
2018 IEEE MTT-S International Conference on Numerical Electromagnetic and†…, 2018
Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning
N Knudde, W Raes, J De Bruycker, T Dhaene, N Stevens
IEEE Communications Letters 24 (8), 1705-1709, 2020
Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients
J Wauters, I Couckuyt, N Knudde, T Dhaene, J Degroote
Structural and Multidisciplinary Optimization 61 (1), 353-364, 2020
Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning
W Raes, N Knudde, J De Bruycker, T Dhaene, N Stevens
Sensors 20 (21), 6109, 2020
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces
V Dutordoir, N Knudde, J van der Herten, I Couckuyt, T Dhaene
Winter Simulation Conference (WSC), 1728-1739, 2018
Air-suspended SU-8 strip waveguides with high refractive index contrast
A Marinins, N Knudde, S Popov
IEEE Photonics Technology Letters 28 (17), 1862-1865, 2016
Multi-objective Bayesian Optimization for Engineering Simulation
J van der Herten, N Knudde, I Couckuyt, T Dhaene
High-Performance Simulation-Based Optimization, 47-68, 2020
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes
V Polfliet, N Knudde, B Vandersmissen, I Couckuyt, T Dhaene
International Conference on Engineering Applications of Neural Networks, 16-27, 2018
Hierarchical Gaussian Process Models for Improved Metamodeling
N Knudde, V Dutordoir, JVD Herten, I Couckuyt, T Dhaene
ACM Transactions on Modeling and Computer Simulation (TOMACS) 30 (4), 1-17, 2020
Bayesian active learning for electromagnetic structure design
J Qing, N Knudde, I Couckuyt, D Spina, T Dhaene
2020 14th European Conference on Antennas and Propagation (EuCAP), 1-5, 2020
Batch Bayesian Active Learning for Feasible Region Identification by Local Penalization
J Qing, N Knudde, I Couckuyt, T Dhaene, K Shintani
2020 Winter Simulation Conference (WSC), 2779-2790, 2020
Bayesian active learning for multi‐objective feasible region identification in microwave devices
F Garbuglia, J Qing, N Knudde, D Spina, I Couckuyt, D Deschrijver, ...
Electronics Letters, 2021
A Set Based Design Method Using Bayesian Active Learning
K Shintani, T Sugai, K Ishizaki, N Knudde, I Couckuyt, T Dhaene
International Design Engineering Technical Conferences and Computers and†…, 2020
Gaussische processen voor data-efficiŽnte modellering en optimalisatie van ingenieurssystemen
N Knudde
Ghent University, 2020
Adaptive sampling with automatic stopping for feasible region identification in engineering design
J Qing, N Knudde, F Garbuglia, D Spina, I Couckuyt, T Dhaene
Engineering with Computers, 1-18, 2021
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