Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Researcher

Tom Van Steenkiste

Awards & Distinctions

22 Results

2020

A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing

Rémi DelangheTom Van SteenkisteIvo CouckuytDirk DeschrijverTom Dhaene

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

Thomas UyttenhoveAren MaesTom Van SteenkisteDirk DeschrijverTom Dhaene

Machine learning for time-series analysis in health care

Tom Van SteenkisteTom DhaeneDirk Deschrijver

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

Tom Van SteenkisteWillemijn GroenendaalPauline DreesenSeulki LeeSusie KlerkxRuben de FranciscoDirk DeschrijverTom Dhaene

A1 Journal Article in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

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

Tom Van SteenkisteDirk DeschrijverTom Dhaene

2019

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

Aren MaesTom Van SteenkisteTom DhaeneDirk Deschrijver

ALBATROS : adaptive line-based sampling trajectories for sequential measurements

Tom Van SteenkisteJoachim van der HertenDirk DeschrijverTom Dhaene

A1 Journal Article in ENGINEERING WITH COMPUTERS

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Tom Van SteenkisteJoeri RuyssinckLeen De BaetsJohan DecruyenaereFilip De TurckFemke OngenaeTom Dhaene

A1 Journal Article in ARTIFICIAL INTELLIGENCE IN MEDICINE

Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks

Tom Van SteenkisteWillemijn GroenendaalDirk DeschrijverTom Dhaene

A1 Journal Article in IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS

Bayesian optimization of MRI k-Space trajectories

Tom Van SteenkisteJan AeltermanHiep LuongDirk DeschrijverTom Dhaene

Continuous exploitative measurement trajectories using Bayesian optimisation

Rémi DelangheTom Van SteenkisteDirk DeschrijverTom Dhaene

Data-efficient sensitivity analysis with surrogate modeling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene

Disentangled variational auto-encoders for explaining ECG beat embeddings

Tom Van SteenkisteDirk DeschrijverTom Dhaene

Interpretable ECG beat embedding using disentangled variational auto-encoders

Tom Van SteenkisteDirk DeschrijverTom Dhaene

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

Jens JocquéTom Van SteenkistePieter StroobantRémi DelangheDirk DeschrijverTom Dhaene

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

Rémi DelangheTom Van SteenkisteDirk DeschrijverTom Dhaene

Transferability of deep learning based sleep apnea detection models

Tom Van SteenkisteDirk DeschrijverTom Dhaene

2018

Automated assessment of bone age using deep learning and Gaussian process regression

Tom Van SteenkisteJoeri RuyssinckOlivier JanssensBaptist VandersmissenFlorian VandecasteelePIETER DEVOLDEREric AchtenSofie Van HoeckeDirk DeschrijverTom Dhaene

Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene

A1 Journal Article in APPLIED MATHEMATICAL MODELLING

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

Tom Van SteenkisteW. GroenendaalJoeri RuyssinckP. DreesenS. KlerkxC. SmeetsR. de FranciscoDirk DeschrijverTom Dhaene

2017

Surrogate modelling with sequential design for expensive simulation applications

Joachim van der HertenTom Van SteenkisteIvo CouckuytTom Dhaene

Bookchapter in Computer simulation

2016

Sensitivity analysis of expensive black-box systems using metamodeling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene