Nicolas Knudde

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 9

Top Topics

Active Learning

Gaussian Process

Max Margin Markov

Top Venues

IEEE Commun. Lett.

Publications

Nicolas Knudde, Willem Raes, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning. IEEE Commun. Lett. 24 (8) (2020)
Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. Sensors 20 (21) (2020)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32 (16) (2020)
Nicolas Knudde, Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Hierarchical Gaussian Process Models for Improved Metamodeling. ACM Trans. Model. Comput. Simul. 30 (4) (2020)
Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani
Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. WSC (2020)
Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene
Active Learning for Feasible Region Discovery. ICMLA (2019)
Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN (2018)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56 (7) (2018)
Vincent Dutordoir, Nicolas Knudde, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. WSC (2017)