Ivo Couckuyt

发表

A Matlab Toolbox for Kriging Metamodelling

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2015, ICCS.

Cost-efficient electromagnetic-simulation-driven antenna design using co-Kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2012 .

Constrained multi‐objective antenna design optimization using surrogates

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2017 .

Optimized sequential sampling algorithm for EMI near-field scanning

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2013, 2013 International Symposium on Electromagnetic Compatibility.

ooDACE toolbox: a flexible object-oriented Kriging implementation

Piet Demeester, Tom Dhaene, Ivo Couckuyt, 2014, J. Mach. Learn. Res..

Machine Learning-Based Hybrid Random-Fuzzy Modeling Framework For Antenna Design

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2020, 2020 14th European Conference on Antennas and Propagation (EuCAP).

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty pdf

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2016, ICML 2016.

Efficient multi-objective optimization of wireless network problems on wireless testbeds

Ingrid Moerman, Tom Dhaene, Ivo Couckuyt, 2014, 10th International Conference on Network and Service Management (CNSM) and Workshop.

Adaptive modeling and sampling methodologies for Internet of Things applications

Piet Demeester, Tom Dhaene, Ivo Couckuyt, 2016, 2016 18th Mediterranean Electrotechnical Conference (MELECON).

MFITS : Bayesian active learning with support for continuous fidelity parameters and variable cost

Tom Dhaene, Ivo Couckuyt, Nicolas Knudde, 2019, International Conference on Machine Learning.

Surrogate modeling of microwave structures using kriging, co‐kriging, and space mapping

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2013 .

Multiobjective global surrogate modeling, dealing with the 5-percent problem

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2010, Engineering with Computers.

Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility

Ingrid Moerman, Tom Dhaene, Ivo Couckuyt, 2016, IEEE Transactions on Wireless Communications.

Indoor human activity recognition using high-dimensional sensors and deep neural networks

Tom Dhaene, Ivo Couckuyt, Baptist Vandersmissen, 2019, Neural Computing and Applications.

Data-driven model based design and analysis of antenna structures

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2016 .

A Novel Hybrid Active Learning Strategy for Nonlinear Regression

Tom Dhaene, Ivo Couckuyt, Eric Laermans, 2009 .

Data-Efficient Sensitivity Analysis with Surrogate Modeling

Tom Dhaene, Ivo Couckuyt, Tom Van Steenkiste, 2018, Uncertainty Modeling for Engineering Applications.

An alternative approach to avoid overfitting for surrogate models

Yvan Saeys, Dirk Gorissen, Tom Dhaene, 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

Surrogate-based modeling of electrical systems

Tom Dhaene, Ivo Couckuyt, I. Couckuyt, 2010 .

Sensitivity of night cooling performance to room/system design: Surrogate models based on CFD

Tom Dhaene, Ivo Couckuyt, Arnold Janssens, 2012 .

Multi-objective design of antenna structures using variable-fidelity EM simulations and co-kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2014, The 8th European Conference on Antennas and Propagation (EuCAP 2014).

Building accurate radio environment maps from multi-fidelity spectrum sensing data

Ingrid Moerman, Tom Dhaene, Selvakumar Ulaganathan, 2016, Wirel. Networks.

Harmonic Balance Surrogate-Based Immunity Modeling of a Nonlinear Analog Circuit

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2013, IEEE Transactions on Electromagnetic Compatibility.

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods

Tom Dhaene, Ivo Couckuyt, Patrick Peeters, 2015, BMC Medical Informatics and Decision Making.

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes pdf

Tom Dhaene, Ivo Couckuyt, Joachim van der Herten, 2016, NIPS 2016.

Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, International Conference on Adaptive and Natural Computing Algorithms.

Automatic surrogate model type selection during the optimization of expensive black-box problems

Filip De Turck, Dirk Gorissen, Tom Dhaene, 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

Constructing classifiers of expensive simulation-based data by sequential experimental design

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2015, 2015 Winter Simulation Conference (WSC).

Active Learning for Feasible Region Discovery

Tom Dhaene, Ivo Couckuyt, Kohei Shintani, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Automatic calibration of semi-distributed conceptual rainfall–runoff model using MOSCEM algorithm

Dirk Gorissen, Ivo Couckuyt, Jan Feyen, 2009 .

Analyzing and optimizing expensive computer simulations: the surrogate model approach

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2008 .

Data-Efficient Bayesian Optimization with Constraints for Power Amplifier Design

Tom Dhaene, Ivo Couckuyt, Dominique Schreurs, 2018, 2018 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO).

Forward and inverse surrogate modeling of computationally expensive problems

Ivo Couckuyt, 2013 .

Surrogate Modelling with Sequential Design for Expensive Simulation Applications

Tom Dhaene, Ivo Couckuyt, Tom Van Steenkiste, 2017 .

Space-filling sequential design strategies for adaptive surrogate modelling

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, SOCO 2009.

The SUMO toolbox: A tool for automatic regression modeling and active learning

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2013, 2013 Africon.

Inverse surrogate modeling: output performance space sampling

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2010 .

Identification of quasi-optimal regions in the design space using surrogate modeling

Filip De Turck, Tom Dhaene, Ivo Couckuyt, 2013, Engineering with Computers.

Design space exploration using Self-Organizing Map based adaptive sampling

Tom Dhaene, Ivo Couckuyt, Keiichi Ito, 2016, Appl. Soft Comput..

Multi-objective optimization of a wing fence on an unmanned aerial vehicle using surrogate-derived gradients

Tom Dhaene, Ivo Couckuyt, Joris Degroote, 2019, Structural and Multidisciplinary Optimization.

A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications

Tom Dhaene, Ivo Couckuyt, Wim Bogaerts, 2017, Engineering with Computers.

Inverse modelling of an aneurysm’s stiffness using surrogate-based optimization and fluid-structure interaction simulations

Tom Dhaene, Ivo Couckuyt, Jan Vierendeels, 2012 .

Accurate modeling of antennas using variable-fidelity EM simulations and co-kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

Sensitivity analysis of expensive black-box systems using metamodeling

Tom Dhaene, Ivo Couckuyt, Tom Van Steenkiste, 2016, 2016 Winter Simulation Conference (WSC).

Classification aided domain reduction for high dimensional optimization

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2014, Proceedings of the Winter Simulation Conference 2014.

Efficient global optimization of multi-parameter network problems on wireless testbeds

Ingrid Moerman, Tom Dhaene, Ivo Couckuyt, 2015, Ad Hoc Networks.

Variable-fidelity surrogate modelling with kriging

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2015 .

Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2014, J. Glob. Optim..

[Genetic algorithm based multi-objective least square support vector machine for simultaneous determination of multiple components by near infrared spectroscopy].

Xing Wang, Tom Dhaene, Ivo Couckuyt, 2014, Guang pu xue yu guang pu fen xi = Guang pu.

Blind Kriging: Implementation and performance analysis

Filip De Turck, Dirk Gorissen, Tom Dhaene, 2012, Adv. Eng. Softw..

Pareto-Based Multi-output Metamodeling with Active Learning

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, EANN.

A comparative study of kriging variants for the optimization of a turbomachinery system

Tom Dhaene, Ivo Couckuyt, Abdus Samad, 2015, Engineering with Computers.

Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2012, 2012 IEEE Congress on Evolutionary Computation.

Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations pdf

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2016, ArXiv.

Fast Characterization of Input-Output Behavior of Non-Charge-Based Logic Devices by Machine Learning

Tom Dhaene, Ivo Couckuyt, Odysseas Zografos, 2020, Electronics.

A constrained multi-objective surrogate-based optimization algorithm

Tom Dhaene, Ivo Couckuyt, Prashant Singh, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Adaptive classification under computational budget constraints using sequential data gathering

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2016, Adv. Eng. Softw..

Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Tom Dhaene, Ivo Couckuyt, Tom Van Steenkiste, 2018, Applied Mathematical Modelling.

High dimensional Kriging metamodelling utilising gradient information

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2016 .

Cost-efficient modeling of antenna structures using Gradient-Enhanced Kriging

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2015, 2015 Loughborough Antennas & Propagation Conference (LAPC).

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes

Tom Dhaene, Ivo Couckuyt, Baptist Vandersmissen, 2018, EANN.

Avoiding overfitting in surrogate modeling: an alternative approach

Yvan Saeys, Dirk Gorissen, Tom Dhaene, 2011 .

Automated Response Surface Model Generation with Sequential Design

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, SOCO 2009.

An immunity modeling technique to predict the influence of continuous wave and amplitude modulated noise on nonlinear analog circuits

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2013, 2013 International Symposium on Electromagnetic Compatibility.

Reliable reduced cost modeling and design optimization of microwave filters using co‐kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2013 .

A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2015, SIAM J. Sci. Comput..

AN ALTERNATIVE APPROACH TO AVOIDING OVERFIT FOR SURROGATE M ODELS

Yvan Saeys, Dirk Gorissen, Tom Dhaene, 2011 .

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit

Filip De Turck, Tom Dhaene, Ivo Couckuyt, 2016, Comput. Math. Methods Medicine.

A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design

Piet Demeester, Dirk Gorissen, Tom Dhaene, 2010, J. Mach. Learn. Res..

GPflowOpt: A Bayesian Optimization Library using TensorFlow

Tom Dhaene, Ivo Couckuyt, Joachim van der Herten, 2017, NIPS 2017.

Variance-based interaction index measuring heteroscedasticity

Tom Dhaene, Ivo Couckuyt, Silvia Poles, 2016, Comput. Phys. Commun..

Pareto-Based Multi-output Model Type Selection

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, HAIS.

Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar

André Bourdoux, Tom Dhaene, Ivo Couckuyt, 2017, 2017 European Radar Conference (EURAD).

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores

Filip De Turck, Tom Dhaene, Ivo Couckuyt, 2015, Artif. Intell. Medicine.

Machine Learning for Fast Characterization of Magnetic Logic Devices

Tom Dhaene, Ivo Couckuyt, Odysseas Zografos, 2018, 2018 IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS).

Performance study of gradient-enhanced Kriging

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2015, Engineering with Computers.

Two-level refined direct method for electromagnetic optimization and inverse problems

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009 .

Hierarchical Gaussian Process Models for Improved Metamodeling

Tom Dhaene, Ivo Couckuyt, Joachim van der Herten, 2020, ACM Trans. Model. Comput. Simul..

Surrogate-based infill optimization applied to electromagnetic problems

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2010 .

Multi-objective Bayesian Optimization for Engineering Simulation

Tom Dhaene, Ivo Couckuyt, Joachim van der Herten, 2019, High-Performance Simulation-Based Optimization.

Reliable low-cost co-kriging modeling of microwave devices

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2012, 2012 IEEE/MTT-S International Microwave Symposium Digest.

A sequential sampling strategy for adaptive classification of computationally expensive data

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2017 .

On the use of gradients in Kriging surrogate models

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2014, Proceedings of the Winter Simulation Conference 2014.

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems

Wesley De Neve, Ivo Couckuyt, Utku Ozbulak, 2021, Comput. Vis. Image Underst..

A Set Based Design Method Using Bayesian Active Learning

Tom Dhaene, Ivo Couckuyt, Keisuke Ishizaki, 2020, DAC 2020.

Efficient Multi-Objective Simulation-Driven Antenna Design Using Co-Kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2014, IEEE Transactions on Antennas and Propagation.

Integrating rate based models into multi-objective optimisation of process designs using surrogate models

Ivo Couckuyt, François Maréchal, Sinan L. Teske, 2013 .

Bayesian active learning for electromagnetic structure design

Tom Dhaene, Ivo Couckuyt, Domenico Spina, 2020, 2020 14th European Conference on Antennas and Propagation (EuCAP).

Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces

Tom Dhaene, Ivo Couckuyt, Joachim van der Herten, 2017, 2017 Winter Simulation Conference (WSC).

Reliable design closure of sonnet-simulated structures using co-kriging

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2013 .

A hybrid sequential sampling based metamodelling approach for high dimensional problems

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).

Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor

Tom Dhaene, Ivo Couckuyt, Luc Dupré, 2012, Engineering with Computers.

Kriging, co-kriging and space mapping for microwave circuit modeling

Tom Dhaene, Ivo Couckuyt, Slawomir Koziel, 2011, 2011 41st European Microwave Conference.

Automatic Approximation of Expensive Functions with Active Learning

Dirk Gorissen, Tom Dhaene, Ivo Couckuyt, 2009, Foundations of Computational Intelligence.

Sequential sampling algorithm for simultaneous near-field scanning of amplitude and phase

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2014, 2014 International Symposium on Electromagnetic Compatibility.

Indoor Person Identification Using a Low-Power FMCW Radar

André Bourdoux, Tom Dhaene, Ivo Couckuyt, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models

Tom Dhaene, Ivo Couckuyt, Dirk Deschrijver, 2017, J. Optim. Theory Appl..

Shape optimization of a cyclone separator using multi-objective surrogate-based optimization

Tom Dhaene, Ivo Couckuyt, Prashant Singh, 2016 .

Inverse modelling of an aneurysm's stiffness using surrogate-based optimization of a three-dimensional ﬂuid-structure interaction simulation

Jan Vierendeels, Tom Dhaene, Ivo Couckuyt, 2011 .

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity

Tom Dhaene, Ivo Couckuyt, Zhen Hu, 2021, Knowl. Based Syst..

ESLA: a new surrogate-assisted single-loop reliability-based design optimization technique

Ivo Couckuyt, Joris Degroote, Jolan Wauters, 2021, Structural and Multidisciplinary Optimization.

Automated Software Defect Detection and Identification in Vehicular Embedded Systems

Ivo Couckuyt, Kyle Foss, Adrian Baruta, 2021 .

Adaptive sampling with automatic stopping for feasible region identification in engineering design

Tom Dhaene, Ivo Couckuyt, Federico Garbuglia, 2021, Engineering with Computers.

Multi-objective optimization of reflector antennas using kriging and probability of improvement

Tom Dhaene, Ivo Couckuyt, Dirk I.L. de Villiers, 2017, 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.

Low-Cost Surrogate Models for Microwave Filters

Tom Dhaene, Ivo Couckuyt, Natalia Leszczynska, 2016, IEEE Microwave and Wireless Components Letters.

Elastic characterization of membranes with a complex shape using point indentation measurements and inverse modelling

Ivo Couckuyt, Joris J.J. Dirckx, Karel Crombecq, 2010 .

Environmental High Frequency Characterization of Fabrics Based on a Novel Surrogate Modelling Antenna Technique

Hendrik Rogier, Tom Dhaene, Ivo Couckuyt, 2013, IEEE Transactions on Antennas and Propagation.

ooDACE toolbox A Matlab Kriging toolbox: Getting started

Piet Demeester, Tom Dhaene, Ivo Couckuyt, 2013 .

Performance study of multi-fidelity gradient enhanced kriging

Tom Dhaene, Selvakumar Ulaganathan, Ivo Couckuyt, 2015 .