Browsing by author "Knudde, Nicolas"
Now showing items 1-19 of 19
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A set based design method using bayesian active learning
Shintani, K.; Sugai, T.; Ishizaki, K.; Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom (2020) -
Active learning for feasible region discovery
Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom; Shintani, K. (2019) -
Adaptive sampling with automatic stopping for feasible region identification in engineering design
Qing, Jixiang; Knudde, Nicolas; Garbuglia, Federico; Spina, Domenico; Couckuyt, Ivo; Dhaene, Tom (2022) -
BATCH BAYESIAN ACTIVE LEARNING FOR FEASIBLE REGION IDENTIFICATION BY LOCAL PENALIZATION
Qing, Jixiang; Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom; Shintani, Kohei (2020) -
Bayesian active learning for electromagnetic structure design
Qing, Jixiang; Knudde, Nicolas; Couckuyt, Ivo; Spina, Domenico; Dhaene, Tom (2020) -
Bayesian active learning for multi-objective feasible region identification in microwave devices
Garbuglia, Federico; Qing, Jixiang; Knudde, Nicolas; Spina, Domenico; Couckuyt, Ivo; Deschrijver, Dirk; Dhaene, Tom (2021) -
Data-efficient bayesian optimization with constraints for power amplifier design
Knudde, Nicolas; Couckuyt, Ivo; Spina, Domenico; Lukasik, K.; Barmuta, P.; Schreurs, Dominique; Dhaene, Tom (2018-08) -
Data-efficient Gaussian process regression for accurate visible light positioning
Knudde, Nicolas; Raes, W.; De Bruycker, J.; Dhaene, Tom; Stevens, N. (2020-08) -
Deep gaussian process metamodeling of sequentially sampled non-stationary response surfaces
Dutordoir, Vincent; Knudde, Nicolas; van der Herten, Joachim; Couckuyt, Ivo; Dhaene, Tom (2017-12) -
Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning
Raes, W.; Knudde, Nicolas; De Bruycker, J.; Dhaene, Tom; Stevens, N. (2020-11) -
Gaussische processen voor data-efficiënte modellering en optimalisatie van ingenieurssystemen
Knudde, Nicolas (2020-10) -
GPflowOpt: A bayesian optimization library using tensorflow
Knudde, Nicolas; van der Herten, Joachim; Dhaene, Tom; Couckuyt, Ivo (2017-12) -
Hierarchical Gaussian process models for improved metamodeling
Knudde, Nicolas; Dutordoir, V.; van der Herten, Joachim; Couckuyt, Ivo; Dhaene, Tom (2020-11) -
Indoor human activity recognition using high-dimensional sensors and deep neural networks
Vandersmissen, Baptist; Knudde, Nicolas; Jalalvand, Azarakhsh; Couckuyt, Ivo; Dhaene, Tom; De Neve, Wesley (2020-08) -
Indoor person identification using a low-power FMCW radar
Vandersmissen, Baptist; Knudde, Nicolas; Jalalvand, Azarakhsh; Couckuyt, Ivo; Bourdoux, André; De Neve, Wesley; Dhaene, Tom (2018-07) -
Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar
Knudde, Nicolas; Vandersmissen, Baptist; Parashar, Karthick; Couckuyt, Ivo; Jalalvand, Azarakhsh; Bourdoux, André; De Neve, Wesley; Dhaene, Tom (2017) -
MFITS: Bayesian active learning with support for continuous fidelity parameters and variable cost
Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom (2019) -
Multi-objective Bayesian optimization for engineering simulation
van der Herten, Joachim; Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom (2020) -
Structured inference networks using high-dimensional sensors for surveillance purposes
Polfliet, Vincent; Knudde, Nicolas; Vandersmissen, Baptist; Couckuyt, Ivo; Dhaene, Tom (2018)