Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Tom Van Steenkiste

ORCID iD: 0000-0002-3842-3151

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- Conference Paper
- C1
- open access
Sensor fusion using backward shortcut connections for sleep apnea detection in multi-modal data

Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 116. p.112-125
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- Conference Paper
- C1
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Interpretable epilepsy detection in routine, interictal EEG data using deep learning

Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) PROCEEDINGS OF MACHINE LEARNING RESEARCH. 136. p.355-366
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- Conference Paper
- C1
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A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing

Rémi Delanghe, Tom Van Steenkiste, Ivo Couckuyt (UGent) , Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) ENGINEERING PROCEEDINGS. 3(1).
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- Journal Article
- A1
- open access
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning

Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2020) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 24(9). p.2589-2598
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- PhD Thesis
- open access
Machine learning for time-series analysis in health care

Tom Van Steenkiste

(2020)
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SEGOLS : a line-based sequential sampling strategy for efficient design space exploration and optimization

Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2019) WSC 2019, Winter Simulation Conference, Proceedings.
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- Journal Article
- A1
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Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks

Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2019) IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. 23(6). p.2354-2364
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- Conference Paper
- C3
- open access
Disentangled variational auto-encoders for explaining ECG beat embeddings

Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2019) 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Abstracts.
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- Conference Paper
- C3
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A study of early sepsis detection models based on multivariate medical time series

Aren Maes, Tom Van Steenkiste, Tom Dhaene (UGent) and Dirk Deschrijver (UGent)

(2019) 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Abstracts.
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- Conference Paper
- C3
- open access
Continuous exploitative measurement trajectories using Bayesian optimisation

Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver (UGent) and Tom Dhaene (UGent)

(2019) 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), Abstracts.

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