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 | 250 | 2018 |
GPflowOpt: A Bayesian optimization library using TensorFlow N Knudde, J van der Herten, T Dhaene, I Couckuyt arXiv preprint arXiv:1711.03845, 2017 | 102 | 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 32, 12295-12309, 2020 | 39 | 2020 |
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 | 36 | 2020 |
Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar N Knudde, B Vandersmissen, K Parashar, I Couckuyt, A Jalalvand, ... 2017 European Radar Conference (EURAD), 61-64, 2017 | 34 | 2017 |
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 | 25 | 2020 |
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 | 24 | 2018 |
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 | 19 | 2019 |
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, 353-364, 2020 | 15 | 2020 |
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 | 7 | 2020 |
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 | 7 | 2020 |
Deep Gaussian process metamodeling of sequentially sampled non-stationary response surfaces V Dutordoir, N Knudde, J van der Herten, I Couckuyt, T Dhaene 2017 Winter Simulation Conference (WSC), 1728-1739, 2017 | 7 | 2017 |
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 | 7 | 2016 |
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 | 6 | 2020 |
Structured inference networks using high-dimensional sensors for surveillance purposes V Polfliet, N Knudde, B Vandersmissen, I Couckuyt, T Dhaene Engineering Applications of Neural Networks: 19th International Conference …, 2018 | 6 | 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 | 5 | 2020 |
GPflowOpt: A Bayesian Optimization Library using TensorFlow, arXiv N Knudde, J Van Der Herten, T Dhaene, I Couckuyt arXiv preprint arXiv:1711.03845, 2017 | 5 | 2017 |
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 57 (10), 400-403, 2021 | 3 | 2021 |
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 | 3 | 2020 |
Gaussian processes for modelling and optimization of engineering systems N Knudde Ghent University, 2020 | 3 | 2020 |