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Nicolas Knudde
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2020 – today
- 2022
- [d1]Willem Raes
, Jorik De Bruycker
Machine Learning for RSS-Based Visible Light Positioning. IEEE DataPort, 2022 - 2020
- [j5]Nicolas Knudde
Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning. IEEE Commun. Lett. 24(8): 1705-1709 (2020) - [j4]Baptist Vandersmissen
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32(16): 12295-12309 (2020) - [j3]Willem Raes
Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. Sensors 20(21): 6109 (2020) - [j2]Nicolas Knudde
Hierarchical Gaussian Process Models for Improved Metamodeling. ACM Trans. Model. Comput. Simul. 30(4): 23:1-23:17 (2020) - [c4]Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani:
Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. WSC 2020: 2779-2790 - [p1]Joachim van der Herten, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene:
Multi-objective Bayesian Optimization for Engineering Simulation. High-Performance Simulation-Based Optimization 2020: 47-68
2010 – 2019
- 2019
- [c3]Nicolas Knudde, Ivo Couckuyt, Kohei Shintani
Active Learning for Feasible Region Discovery. ICMLA 2019: 567-572 - 2018
- [j1]Baptist Vandersmissen
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56(7): 3941-3952 (2018) - [c2]Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene:
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN 2018: 16-27 - 2017
- [c1]Vincent Dutordoir, Nicolas Knudde
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. WSC 2017: 1728-1739
Coauthor Index
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