Sensitivity analysis of expensive black-box systems using metamodeling. - Tom Van Steenkiste; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (WSC, 2016)

Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. - Tom Van Steenkiste; Willemijn Groenendaal; Joeri Ruyssinck; Pauline Dreesen; Susie Klerkx; Christophe Smeets; Ruben de Francisco; Dirk Deschrijver; Tom Dhaene (EMBC, 2018)

Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. - Tom Van Steenkiste; Joeri Ruyssinck; Olivier Janssens; Baptist Vandersmissen; Florian Vandecasteele; Pieter Devolder; Eric Achten; Sofie Van Hoecke; Dirk Deschrijver; Tom Dhaene (EMBC, 2018)

Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. - Rémi Delanghe; Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (BNAIC/BENELEARN, 2019)

A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. - Aren Maes; Tom Van Steenkiste; Tom Dhaene; Dirk Deschrijver (BNAIC/BENELEARN, 2019)

Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (BNAIC/BENELEARN, 2019)

Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (CBMS, 2019)

Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (ML4H@NeurIPS, 2019)

Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. - Jens Jocqué; Tom Van Steenkiste; Pieter Stroobant; Rémi Delanghe; Dirk Deschrijver; Tom Dhaene (WSC, 2019)

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. - Tom Van Steenkiste; Joeri Ruyssinck; Leen De Baets; Johan Decruyenaere; Filip De Turck; Femke Ongenae; Tom Dhaene (Artif. Intell. Medicine, 2019)

Generating an Explainable ECG Beat Space With Variational Auto-Encoders. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (CoRR, 2019)

ALBATROS: adaptive line-based sampling trajectories for sequential measurements. - Tom Van Steenkiste; Joachim van der Herten; Dirk Deschrijver; Tom Dhaene (Eng. Comput., 2019)

Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. - Tom Van Steenkiste; Willemijn Groenendaal; Dirk Deschrijver; Tom Dhaene (IEEE J. Biomed. Health Informatics, 2019)

Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. - Thomas Uyttenhove; Aren Maes; Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (ML4H@NeurIPS, 2020)

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; Tom Dhaene (IEEE J. Biomed. Health Informatics, 2020)