Ivo Couckuyt

According to our database, Ivo Couckuyt authored at least 77 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Strategies for feature-assisted development of topology agnostic planar antennas using variable-fidelity models.

Adrian Bekasiewicz, Khadijeh Askaripour, Mariusz Dzwonkowski, Tom Dhaene, Ivo Couckuyt

J. Comput. Sci., 2025

2024

Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design.

Nasrulloh R. B. S. Loka, Mohamed Ibrahim, Ivo Couckuyt, Inneke Van Nieuwenhuyse, Tom Dhaene

Eng. Comput., August, 2024

Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application.

Alejandro Morales Hernández, Sebastian Rojas-Gonzalez, Inneke Van Nieuwenhuyse, Ivo Couckuyt, Jeroen Jordens, Maarten Witters, Bart Van Doninck

Eng. Comput., August, 2024

Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services.

Nezmin Kayedpour, Jixiang Qing, Jolan Wauters, Jeroen D. M. De Kooning, Ivo Couckuyt, Guillaume Crevecoeur

IEEE Trans. Instrum. Meas., 2024

Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development.

Jolan Wauters, Tom Lefebvre, Joris Degroote, Ivo Couckuyt, Guillaume Crevecoeur

CoRR, 2024

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems.

Jack M. Buckingham, Ivo Couckuyt, Juergen Branke

CoRR, 2024

Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure.

Adrian Bekasiewicz, Mariusz Dzwonkowski, Tom Dhaene, Ivo Couckuyt

Proceedings of the Computational Science - ICCS 2024, 2024

Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications.

Adrian Bekasiewicz, Tom Dhaene, Ivo Couckuyt, Jacek Andrzej Litka

Proceedings of the Computational Science - ICCS 2024, 2024

Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization.

Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Bayesian Optimization.

Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles.

Jorik De Bruycker, Michiel De Wilde, Federico Garbuglia, Ioana Nikova, Ivo Couckuyt, Tom Dhaene, Nobby Stevens

Proceedings of the 14th International Symposium on Communication Systems, 2024

2023

A robust multi-objective Bayesian optimization framework considering input uncertainty.

Jixiang Qing, Ivo Couckuyt, Tom Dhaene

J. Glob. Optim., July, 2023

Open-Set Patient Activity Recognition With Radar Sensors and Deep Learning.

Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt

IEEE Geosci. Remote. Sens. Lett., 2023

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions.

Nasrulloh R. B. S. Loka, Ivo Couckuyt, Federico Garbuglia, Domenico Spina, Inneke Van Nieuwenhuyse, Tom Dhaene

Eng. Comput., 2023

Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow.

Victor Picheny, Joel Berkeley, Henry B. Moss, Hrvoje Stojic, Uri Granta, Sebastian W. Ober, Artem Artemev, Khurram Ghani, Alexander Goodall, Andrei Paleyes, Sattar Vakili, Sergio Pascual-Diaz, Stratis Markou, Jixiang Qing, Nasrulloh R. B. S. Loka, Ivo Couckuyt

CoRR, 2023

Data-Efficient Interactive Multi-objective Optimization Using ParEGO.

Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Cost-Aware Active Learning for Feasible Region Identification.

Ioana Nikova, Tom Dhaene, Ivo Couckuyt

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Bayesian Optimization.

Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Automated Software Defect Detection and Identification in Vehicular Embedded Systems.

Kyle Foss, Ivo Couckuyt, Adrian Baruta, Corentin Mossoux

IEEE Trans. Intell. Transp. Syst., 2022

Patient activity recognition using radar sensors and machine learning.

Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt

Neural Comput. Appl., 2022

PF²ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints.

Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt

CoRR, 2022

Finding Knees in Bayesian Multi-objective Optimization.

Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives.

Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt

Proceedings of the IECON 2022, 2022

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty.

Jixiang Qing, Tom Dhaene, Ivo Couckuyt

Proceedings of the International Conference on Machine Learning, 2022

Bayesian optimization: tutorial.

Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

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

Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, Tom Dhaene

Knowl. Based Syst., 2021

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

Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve

Comput. Vis. Image Underst., 2021

2020

Multi-objective Bayesian Optimization for Engineering Simulation.

Joachim van der Herten, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene

Proceedings of the High-Performance Simulation-Based Optimization, 2020

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

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

Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve

Neural Comput. Appl., 2020

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization.

Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani

Proceedings of the Winter Simulation Conference, 2020

2019

Active Learning for Feasible Region Discovery.

Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Indoor Person Identification Using a Low-Power FMCW Radar.

Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene

IEEE Trans. Geosci. Remote. Sens., 2018

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes.

Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene

Proceedings of the Engineering Applications of Neural Networks, 2018

2017

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

Prashant Singh, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, Tom Dhaene

J. Optim. Theory Appl., 2017

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

Arun Kaintura, Domenico Spina, Ivo Couckuyt, Luc Knockaert, Wim Bogaerts, Tom Dhaene

Eng. Comput., 2017

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

Vincent Dutordoir, Nicolas Knudde, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene

Proceedings of the 2017 Winter Simulation Conference, 2017

2016

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

Selvakumar Ulaganathan, Dirk Deschrijver, Mostafa Pakparvar, Ivo Couckuyt, Wei Liu, David Plets, Wout Joseph, Tom Dhaene, Luc Martens, Ingrid Moerman

Wirel. Networks, 2016

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

Michael Tetemke Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Günter Vermeeren, David Plets, Wout Joseph, Luc Martens, Tom Dhaene, Ingrid Moerman

IEEE Trans. Wirel. Commun., 2016

Performance study of gradient-enhanced Kriging.

Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Joris Degroote, Eric Laermans

Eng. Comput., 2016

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

Sayed Ahmed Imran Bellary, Abdus Samad, Ivo Couckuyt, Tom Dhaene

Eng. Comput., 2016

Variance-based interaction index measuring heteroscedasticity.

Keiichi Ito, Ivo Couckuyt, Silvia Poles, Tom Dhaene

Comput. Phys. Commun., 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

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

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

CoRR, 2016

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

Joachim van der Herten, Ivo Couckuyt, Tom Dhaene

CoRR, 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

Design space exploration using Self-Organizing Map based adaptive sampling.

Keiichi Ito, Ivo Couckuyt, Roberto D'Ippolito, Tom Dhaene

Appl. Soft Comput., 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

Sensitivity analysis of expensive black-box systems using metamodeling.

Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene

Proceedings of the Winter Simulation Conference, 2016

A hybrid sequential sampling based metamodelling approach for high dimensional problems.

Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

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

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

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

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

Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt

BMC Medical Informatics Decis. Mak., 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

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

Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Daan Pareit, Tom Dhaene, Ingrid Moerman

Ad Hoc Networks, 2015

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

Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

Proceedings of the 2015 Winter Simulation Conference, 2015

A Matlab Toolbox for Kriging Metamodelling.

Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene

Proceedings of the International Conference on Computational Science, 2015

2014

ooDACE toolbox: a flexible object-oriented Kriging implementation.

Ivo Couckuyt, Tom Dhaene, Piet Demeester

J. Mach. Learn. Res., 2014

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

Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

J. Glob. Optim., 2014

On the use of gradients in kriging surrogate models.

Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote

Proceedings of the 2014 Winter Simulation Conference, 2014

Classification aided domain reduction for high dimensional optimization.

Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene

Proceedings of the 2014 Winter Simulation Conference, 2014

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

Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Tom Dhaene, Ingrid Moerman

Proceedings of the 10th International Conference on Network and Service Management, 2014

A constrained multi-objective surrogate-based optimization algorithm.

Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

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

Ivo Couckuyt, Jef Aernouts, Dirk Deschrijver, Filip De Turck, Tom Dhaene

Eng. Comput., 2013

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

Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene

Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012

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

Guillaume Crevecoeur, Ahmed Abou-Elyazied Abdallh, Ivo Couckuyt, Luc Dupré, Tom Dhaene

Eng. Comput., 2012

Blind Kriging: Implementation and performance analysis.

Ivo Couckuyt, A. Forrester, Dirk Gorissen, Filip De Turck, Tom Dhaene

Adv. Eng. Softw., 2012

Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions.

Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

An alternative approach to avoid overfitting for surrogate models.

Huu Minh Nguyen, Ivo Couckuyt, Luc Knockaert, Tom Dhaene, Dirk Gorissen, Yvan Saeys

Proceedings of the Winter Simulation Conference 2011, 2011

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

Ivo Couckuyt, Filip De Turck, Tom Dhaene, Dirk Gorissen

Proceedings of the Winter Simulation Conference 2011, 2011

2010

A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design.

Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene, Karel Crombecq

J. Mach. Learn. Res., 2010

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

Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene

Eng. Comput., 2010

2009

Automatic Approximation of Expensive Functions with Active Learning.

Dirk Gorissen, Karel Crombecq, Ivo Couckuyt, Tom Dhaene

Proceedings of the Foundations of Computational Intelligence, 2009

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

Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric Laermans, Tom Dhaene

Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Pareto-Based Multi-output Model Type Selection.

Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom Dhaene

Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Pareto-Based Multi-output Metamodeling with Active Learning.

Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene

Proceedings of the Engineering Applications of Neural Networks, 2009