Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. - Vincent Dutordoir; Nicolas Knudde; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (WSC, 2017)

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. - Vincent Polfliet; Nicolas Knudde; Baptist Vandersmissen; Ivo Couckuyt; Tom Dhaene (EANN, 2018)

Indoor Person Identification Using a Low-Power FMCW Radar. - Baptist Vandersmissen; Nicolas Knudde; Azarakhsh Jalalvand; Ivo Couckuyt; André Bourdoux; Wesley De Neve; Tom Dhaene (IEEE Trans. Geosci. Remote. Sens., 2018)

Active Learning for Feasible Region Discovery. - Nicolas Knudde; Ivo Couckuyt; Kohei Shintani; Tom Dhaene (ICMLA, 2019)

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. - Jixiang Qing; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene; Kohei Shintani (WSC, 2020)

Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning. - Nicolas Knudde; Willem Raes; Jorik De Bruycker; Tom Dhaene; Nobby Stevens (IEEE Commun. Lett., 2020)

Indoor human activity recognition using high-dimensional sensors and deep neural networks. - Baptist Vandersmissen; Nicolas Knudde; Azarakhsh Jalalvand; Ivo Couckuyt; Tom Dhaene; Wesley De Neve (Neural Comput. Appl., 2020)

Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. - Willem Raes; Nicolas Knudde; Jorik De Bruycker; Tom Dhaene; Nobby Stevens (Sensors, 2020)

Hierarchical Gaussian Process Models for Improved Metamodeling. - Nicolas Knudde; Vincent Dutordoir; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (ACM Trans. Model. Comput. Simul., 2020)

Multi-objective Bayesian Optimization for Engineering Simulation. - Joachim van der Herten; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene (High-Performance Simulation-Based Optimization, 2020)

Machine Learning for RSS-Based Visible Light Positioning. - Willem Raes; Jorik De Bruycker; Nicolas Knudde; Tom Dhaene; Nobby Stevens (IEEE DataPort, 2022)