Browsing by author "Van Steenkiste, Tom"

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 study of early sepsis detection models based on multivariate medical time series

Maes, Aren; Van Steenkiste, Tom; Dhaene, Tom; Deschrijver, Dirk (2019)

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)

ALBATROS: adaptive line-based sampling trajectories for sequential measurements

Van Steenkiste, Tom; van der Herten, Joachim; Deschrijver, Dirk; Dhaene, Tom (2019-04)

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 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 optimization of MRI k-Space trajectories

Van Steenkiste, Tom; Aelterman, Jan; Luong, Hiep; Deschrijver, Dirk; Dhaene, Tom (2019)

Continuous exploitative measurement trajectories using Bayesian optimisation

Delanghe, Remi; Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2019)

Data-efficient sensitivity analysis with surrogate modeling

Van Steenkiste, Tom; van der Herten, Joachim; Couckuyt, Ivo; Dhaene, Tom (2019)

Disentangled variational auto-encoders for explaining ECG beat embeddings

Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2019)

Interpretable ECG beat embedding using disentangled variational auto-encoders

Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2019)

Interpretable epilepsy detection in routine, interictal EEG data using deep learning

Uyttenhove, Thomas; Maes, Aren; Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2020-12)

Learning to forget: Design of experiments for line-based Bayesian optimization in dynamic environments

Jocqué, Jens; Van Steenkiste, Tom; Stroobant, Pieter; Deschrijver, Dirk; Dhaene, Tom (2019)

Machinaal leren voor analyse van tijdsreeksdata in de gezondheidszorg

Van Steenkiste, Tom (2020-06)

Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning

Van Steenkiste, Tom; Groenendaal, Willemijn; Dreesen, P.; Lee, Seulki; Klerkx, S.; de Francisco, R.; Deschrijver, Dirk; Dhaene, Tom (2020-09)

SEGOLS: A line-based sequential sampling strategy for efficient design space exploration and optimization

Delanghe, Remi; Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2019)

Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data

Van Steenkiste, Tom; Deschrijver, Dirk; Dhaene, Tom (2020-12)

Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Van Steenkiste, Tom; van der Herten, Joachim; Couckuyt, Ivo; Dhaene, Tom (2018)

Surrogate modelling with sequential design for expensive simulation applications

van der Herten, Joachim; Van Steenkiste, Tom; Couckuyt, Ivo; Dhaene, Tom (2017)

Systematic comparison of respiratory signals for the automated detection of sleep apnea

Van Steenkiste, Tom; Groenendaal, Willemijn; Ruyssinck, Joeri; Dreesen, Pauline; Klerkx, S.; Smeets, C.; De Francisco Martin, Ruben; Deschrijver, Dirk; Dhaene, Tom (2018)