Tom Van Steenkiste
Tom Van Steenkiste
Epilog
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Title
Cited by
Cited by
Year
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 23 (6), 2354 - 2364, 2018
362018
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
212018
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
142018
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
T Van Steenkiste, W Groenendaal, P Dreesen, S Lee, S Klerkx, ...
IEEE Journal of Biomedical and Health Informatics 24 (9), 2589-2598, 2020
112020
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
102018
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
82016
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
72019
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
42018
Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data
T Van Steenkiste, D Deschrijver, T Dhaene
Machine Learning for Health Workshop, 112-125, 2020
32020
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
32019
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
32019
Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning
T Uyttenhove, A Maes, T Van Steenkiste, D Deschrijver, T Dhaene
Machine Learning for Health, 355-366, 2020
12020
Learning to forget: design of experiments for line-based bayesian optimization in dynamic environments
J Jocqué, T Van Steenkiste, P Stroobant, R Delanghe, D Deschrijver, ...
2019 Winter Simulation Conference (WSC), 656-667, 2019
12019
Method and a system for detecting a respiratory event of a subject and a method for forming a model for detecting a respiratory event
W Groenendaal, D Deschrijver, T Van Steenkiste, J Ruyssinck
US Patent App. 16/981,931, 2021
2021
A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing
R Delanghe, TV Steenkiste, I Couckuyt, D Deschrijver, T Dhaene
Engineering Proceedings 3 (1), 8, 2020
2020
Machine learning for time-series analysis in health care
T Van Steenkiste
Ghent University, 2020
2020
Generating an Explainable ECG Beat Space With Variational Auto-Encoders
T Van Steenkiste, D Deschrijver, T Dhaene
arXiv preprint arXiv:1911.04898, 2019
2019
SEGOLS: A line-based sequential sampling strategy for efficient design space exploration and optimization
R Delanghe, T Van Steenkiste, D Deschrijver, T Dhaene
WSC2019, the Winter Simulation Conference, 1-12, 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, 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, 2019
2019
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Articles 1–20