Tom Van Steenkiste

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 17

Top Topics

Beat Classification

Gaussian Process

Top Venues

BNAIC/BENELEARN

IEEE J. Biomed. Health Informatics

Publications

Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. ML4H@NeurIPS (2020)
Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J. Biomed. Health Informatics 24 (9) (2020)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. CBMS (2019)
Jens Jocqué, Tom Van Steenkiste, Pieter Stroobant, Rémi Delanghe, Dirk Deschrijver, Tom Dhaene
Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. WSC (2019)
Tom Van Steenkiste, Joachim van der Herten, Dirk Deschrijver, Tom Dhaene
ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. 35 (2) (2019)
Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets, Johan Decruyenaere, Filip De Turck, Femke Ongenae, Tom Dhaene
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. Artif. Intell. Medicine 97 (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. CoRR (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Generating an Explainable ECG Beat Space With Variational Auto-Encoders. CoRR (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. ML4H@NeurIPS (2019)
Aren Maes, Tom Van Steenkiste, Tom Dhaene, Dirk Deschrijver
A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. BNAIC/BENELEARN (2019)
Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. BNAIC/BENELEARN (2019)
Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver, Tom Dhaene
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. BNAIC/BENELEARN (2019)
Tom Van Steenkiste, Willemijn Groenendaal, Joeri Ruyssinck, Pauline Dreesen, Susie Klerkx, Christophe Smeets, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. EMBC (2018)
Tom Van Steenkiste, Joeri Ruyssinck, Olivier Janssens, Baptist Vandersmissen, Florian Vandecasteele, Pieter Devolder, Eric Achten, Sofie Van Hoecke, Dirk Deschrijver, Tom Dhaene
Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. EMBC (2018)
Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling. CoRR (2017)
Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Sensitivity analysis of expensive black-box systems using metamodeling. WSC (2016)