Browsing by author "Deschrijver, Dirk"
Now showing items 1-20 of 66
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A Bayesian approach to adaptive frequency sampling
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Dhaene, Tom; Vande Ginste, Dries (2019) -
A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing
Delanghe, Remi; Van Steenkiste, Tom; Couckuyt, Ivo; Deschrijver, Dirk; Dhaene, Tom (2020) -
A cognitive QoS management framework for WLANs
Pakparvar, Mostafa; Plets, David; Tanghe, Emmeric; Deschrijver, Dirk; Liu, Wei; Chemmangat, Krishnan; Moerman, Ingrid; Dhaene, Tom; Martens, Luc; Joseph, Wout (2014-11) -
A generative modeling framework for statistical link analysis based on sparse data
De Ridder, Simon; Manfredi, Paolo; De Geest, Jan; Deschrijver, Dirk; De Zutter, Daniel; Dhaene, Tom; Vande Ginste, Dries (2018-01) -
A novel parametric macromodeling technique for electromagnetic structures with propagation delays
Sgueglia, M.; Sorrentino, A.; de Magistris, M.; Spina, Domenico; Deschrijver, Dirk; Dhaene, Tom (2017-05) -
A Semi-Supervised Approach with Monotonic Constraints for Improved Remaining Useful Life Estimation
Nieves Avendano, Diego; Ompusunggu, Agusmian Partogi; Vandemoortele, Nathan; Soete, Colin; Moens, Pieter; Deschrijver, Dirk; Van Hoecke, Sofie (2022) -
A sequential sampling strategy for adaptive classification of computationally expensive data
Singh, Prashant; van der Herten, Joachim; Deschrijver, Dirk; Couckuyt, Ivo; Dhaene, Tom (2017-04) -
A study of early sepsis detection models based on multivariate medical time series
Maes, Aren; Van Steenkiste, Tom; Dhaene, Tom; Deschrijver, Dirk (2019) -
A voltage and current measurement dataset for plug load appliance identification in households
Medico, Roberto; De Baets, Leen; Gao, J.; Giri, S.; Kara, E.; Dhaene, Tom; Develder, Chris; Bergés, M.; Deschrijver, Dirk (2020) -
Adaptive frequency sampling using linear Bayesian vector fitting
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Dhaene, Tom; Vande Ginste, Dries (2019-01) -
ALBATROS: adaptive line-based sampling trajectories for sequential measurements
Van Steenkiste, Tom; van der Herten, Joachim; Deschrijver, Dirk; Dhaene, Tom (2019-04) -
Anomaly detection and event mining in cold forming manufacturing processes
Nieves Avendano, Diego; Caljouw, D.; Deschrijver, Dirk; Van Hoecke, Sofie (2020) -
Appliance classification using VI trajectories and convolutional neural networks
De Baets, Leen; Ruyssinck, Joeri; Develder, Chris; Dhaene, Tom; Deschrijver, Dirk (2018-01) -
Autoencoding density-based anomaly detection for signal integrity applications
Medico, Roberto; Spina, Domenico; Vande Ginste, Dries; Deschrijver, Dirk; Dhaene, Tom (2018) -
Automated assessment of bone age using deep learning and Gaussian process regression
Van Steenkiste, Tom; Ruyssinck, Joeri; Janssens, Olivier; Vandersmissen, Baptist; Vandecasteele, Florian; Devolder, Pieter; Achten, Eric; Van Hoecke, Sofie; Deschrijver, Dirk; Dhaene, Tom (2018) -
Automated classification of appliances using elliptical fourier descriptors
De Baets, Leen; Develder, Chris; Dhaene, Tom; Deschrijver, Dirk (2017-10) -
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
Van Steenkiste, Tom; Groenendaal, Willemijn; Deschrijver, Dirk; Dhaene, Tom (2019-11) -
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) -
Bayesian Active Learning for Radiation Pattern Sampling Over Cylindrical Surfaces
Garbuglia, Federico; Claeys, Tim; Couckuyt, Ivo; Deschrijver, Dirk; Dhaene, Tom (2022) -
Bayesian Active Learning for Received Signal Strength-Based Visible Light Positioning
Garbuglia, Federico; Raes, Willem; De Bruycker, Jorik; Stevens, Nobby; Deschrijver, Dirk; Dhaene, Tom (2022)