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Joachim van der Herten
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2020 – today
- 2022
- [c7]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, Femke Ongenae:
Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications. PervasiveHealth 2022: 344-360 - 2020
- [j6]Nicolas Knudde
, Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Hierarchical Gaussian Process Models for Improved Metamodeling. ACM Trans. Model. Comput. Simul. 30(4): 23:1-23:17 (2020) - [p1]Joachim van der Herten, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene:
Multi-objective Bayesian Optimization for Engineering Simulation. High-Performance Simulation-Based Optimization 2020: 47-68
2010 – 2019
- 2019
- [j5]Tom Van Steenkiste
, Joachim van der Herten, Dirk Deschrijver
, Tom Dhaene:
ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. 35(2): 537-550 (2019) - 2017
- [c6]Vincent Dutordoir, Nicolas Knudde
, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. WSC 2017: 1728-1739 - [i4]Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling. CoRR abs/1702.00650 (2017) - 2016
- [j4]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. 99: 137-146 (2016) - [j3]Joeri Ruyssinck, Joachim van der Herten
, Rein Houthooft, Femke Ongenae
, Ivo Couckuyt, Bram Gadeyne
, Kirsten Colpaert, Johan Decruyenaere
, Filip De Turck
, Tom Dhaene:
Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit. Comput. Math. Methods Medicine 2016: 7087053:1-7087053:7 (2016) - [c5]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC 2016: 1634-1641 - [c4]Tom Van Steenkiste
, Joachim van der Herten
, Ivo Couckuyt, Tom Dhaene:
Sensitivity analysis of expensive black-box systems using metamodeling. WSC 2016: 578-589 - [i3]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR abs/1608.04550 (2016) - [i2]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR abs/1608.05225 (2016) - [i1]Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. CoRR abs/1612.00393 (2016) - 2015
- [j2]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
:
Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. Artif. Intell. Medicine 63(3): 191-207 (2015) - [j1]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments. SIAM J. Sci. Comput. 37(2) (2015) - [c3]Joachim van der Herten
, Ivo Couckuyt, Dirk Deschrijver
, Tom Dhaene:
Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC 2015: 3166-3167 - 2014
- [c2]Joachim van der Herten
, Dirk Deschrijver
, Tom Dhaene:
Fuzzy local linear approximation-based sequential design. CIES 2014: 17-21 - 2013
- [c1]Sem Peelman, Joachim van der Herten
, Maarten De Vos
, Wen-shin Lee, Sabine Van Huffel, Annie A. M. Cuyt:
Sparse reconstruction of correlated multichannel activity. EMBC 2013: 3897-3900
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