Tom Van Steenkiste
Tom Van Steenkiste
Ghent university - imec
Verified email at ugent.be - Homepage
TitleCited byYear
Automated Sleep Apnea Detection in Raw Respiratory Signals using Long Short-Term Memory Neural Networks
T Van Steenkiste, W Groenendaal, D Deschrijver, T Dhaene
IEEE journal of biomedical and health informatics, 2018
52018
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks
T Van Steenkiste, J Ruyssinck, L De Baets, J Decruyenaere, F De Turck, ...
Artificial Intelligence in Medicine, 2018
52018
Sensitivity analysis of expensive black-box systems using metamodeling
T Van Steenkiste, J van der Herten, I Couckuyt, T Dhaene
2016 Winter Simulation Conference (WSC), 578-589, 2016
52016
ALBATROS: adaptive line-based sampling trajectories for sequential measurements
T Van Steenkiste, J van der Herten, D Deschrijver, T Dhaene
Engineering with Computers 35 (2), 537–550, 2019
32019
Sequential sensitivity analysis of expensive black-box simulators with metamodelling
T Van Steenkiste, J van der Herten, I Couckuyt, T Dhaene
Applied Mathematical Modelling 61, 668-681, 2018
32018
Automated assessment of bone age using deep learning and Gaussian process regression
T Van Steenkiste, J Ruyssinck, O Janssens, B Vandersmissen, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
32018
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea
T Van Steenkiste, W Groenendaal, J Ruyssinck, P Dreesen, S Klerkx, ...
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
22018
Data-Efficient Sensitivity Analysis with Surrogate Modeling
T Van Steenkiste, J van der Herten, I Couckuyt, T Dhaene
Uncertainty Modeling for Engineering Applications, 55-69, 2019
12019
Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders
T Van Steenkiste, D Deschrijver, T Dhaene
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019
2019
Disentangled variational auto-encoders for explaining ECG beat embeddings
T Van Steenkiste, D Deschrijver, T Dhaene
BENELEARN2019, the annual Belgian-Dutch Conference on Machine Learning, 1-2, 2019
2019
A study of early sepsis detection models based on multivariate medical time series
A Maes, T Van Steenkiste, T Dhaene, D Deschrijver
BENELEARN2019, the annual Belgian-Dutch Conference on Machine Learning, 1-2, 2019
2019
Continuous exploitative measurement trajectories using Bayesian optimisation
R Delanghe, T Van Steenkiste, D Deschrijver, T Dhaene
BENELEARN2019, the annual Belgian-Dutch Conference on Machine Learning, 1-2, 2019
2019
Learning to forget: Design of experiments for line-based Bayesian optimization in dynamic environments
J Jocqué, T Van Steenkiste, P Stroobant, D Deschrijver, T Dhaene
World Spectoscopy Congress (WSC2019), 1-12, 2019
2019
Bayesian optimization of MRI k-Space trajectories
T Van Steenkiste, J Aelterman, H Luong, D Deschrijver, T Dhaene
BHI2019, the IEEE-EMBS International Conference on Biomedical and Health …, 2019
2019
Transferability of deep learning based sleep apnea detection models
T Van Steenkiste, D Deschrijver, T Dhaene
BHI2019, the IEEE-EMBS International Conference on Biomedical and Health …, 2019
2019
Surrogate Modelling with Sequential Design for Expensive Simulation Applications
J Van Der Herten, T Van Steenkiste, I Couckuyt, T Dhaene
Computer Simulation, 173, 2017
2017
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