Sparse reconstruction of correlated multichannel activity. - Sem Peelman; Joachim van der Herten; Maarten De Vos; Wen-shin Lee; Sabine Van Huffel; Annie A. M. Cuyt (EMBC, 2013)

Fuzzy local linear approximation-based sequential design. - Joachim van der Herten; Dirk Deschrijver; Tom Dhaene (CIES, 2014)

Constructing classifiers of expensive simulation-based data by sequential experimental design. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (WSC, 2015)

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. - Rein Houthooft; Joeri Ruyssinck; Joachim van der Herten; Sean Stijven; Ivo Couckuyt; Bram Gadeyne; Femke Ongenae; Kirsten Colpaert; Johan Decruyenaere; Tom Dhaene; Filip De Turck (Artif. Intell. Medicine, 2015)

A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (SIAM J. Sci. Comput., 2015)

Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (CEC, 2016)

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

Adaptive classification under computational budget constraints using sequential data gathering. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (Adv. Eng. Softw., 2016)

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit. - Joeri Ruyssinck; Joachim van der Herten; Rein Houthooft; Femke Ongenae; Ivo Couckuyt; Bram Gadeyne; Kirsten Colpaert; Johan Decruyenaere; Filip De Turck; Tom Dhaene (Comput. Math. Methods Medicine, 2016)

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. - Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (CoRR, 2016)

Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (CoRR, 2016)

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (CoRR, 2016)

Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. - Vincent Dutordoir; Nicolas Knudde; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (WSC, 2017)

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

Hierarchical Gaussian Process Models for Improved Metamodeling. - Nicolas Knudde; Vincent Dutordoir; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (ACM Trans. Model. Comput. Simul., 2020)

Multi-objective Bayesian Optimization for Engineering Simulation. - Joachim van der Herten; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene (High-Performance Simulation-Based Optimization, 2020)

Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications. - Bram Steenwinckel; Mathias De Brouwer; Marija Stojchevska; M. Jeroen Van Der Donckt; Jelle Nelis; Joeri Ruyssinck; Joachim van der Herten; Koen Casier; Jan Van Ooteghem; Pieter Crombez; Filip De Turck; Sofie Van Hoecke; et al. (PervasiveHealth, 2022)