Browsing by author "Dhaene, Tom"
Now showing items 1-20 of 134
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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 Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications
Kaintura, A.; Spina, Domenico; Couckuyt, Ivo; Knockaert, Luc; Bogaerts, Wim; Dhaene, Tom (2017-10) -
A Machine Learning-Based Epistemic Modeling Framework for EMC and SI Assessment
Kan, Duygu; De Ridder, Simon; Spina, Domenico; Dhaene, Tom; Rogier, Hendrik; Vande Ginste, Dries; Grassi, Flavia (2020) -
A novel generative stochastic model for high-speed interconnection links
De Ridder, Simon; Manfredi, Paolo; De Geest, Jan; Dhaene, Tom; De Zutter, Daniel; Vande Ginste, Dries (2017) -
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 Robust Bayesian Optimization Framework for Microwave Circuit Design under Uncertainty
De Witte, Duygu; Qing, Jixiang; Couckuyt, Ivo; Dhaene, Tom; Vande Ginste, Dries; Spina, Domenico (2022) -
A robust multi-objective Bayesian optimization framework considering input uncertainty
Qing, Jixiang; Couckuyt, Ivo; Dhaene, Tom (2023) -
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 set based design method using bayesian active learning
Shintani, K.; Sugai, T.; Ishizaki, K.; Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom (2020) -
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) -
About the need for model driven architecture in embedded system design
Temmerman, Marijn; Van Oudheusden, Karel; Demeyer, Serge; Catthoor, Francky; Dhaene, Tom (2004) -
Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments
Bekasiewicz, Adrian; Waladi, Vorya; Dhaene, Tom; Czaplewski, Bartosz (2024) -
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
Van Steenkiste, Tom; Ruyssinck, Joeri; De Baets, Leen; Decruyenaere, J.; De Turck, Filip; Ongenae, Femke; Dhaene, Tom (2019-06) -
Active learning for feasible region discovery
Knudde, Nicolas; Couckuyt, Ivo; Dhaene, Tom; Shintani, K. (2019) -
Adaptive frequency sampling using linear Bayesian vector fitting
De Ridder, Simon; Deschrijver, Dirk; Spina, Domenico; Dhaene, Tom; Vande Ginste, Dries (2019-01) -
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)