Ivo Couckuyt

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Gaussian Process

Activity Recognition

High Dimensional

Top Venues

GECCO Companion

Publications

Adrian Bekasiewicz, Mariusz Dzwonkowski, Tom Dhaene, Ivo Couckuyt
Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure. ICCS (3) (2024)
Nezmin Kayedpour, Jixiang Qing, Jolan Wauters, Jeroen D. M. De Kooning, Ivo Couckuyt, Guillaume Crevecoeur
Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services. IEEE Trans. Instrum. Meas. 73 (2024)
Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO. CoRR (2024)
Adrian Bekasiewicz, Tom Dhaene, Ivo Couckuyt, Jacek Andrzej Litka
Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications. ICCS (3) (2024)
Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt
Bayesian Optimization. GECCO Companion (2024)
Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt
Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. GECCO Companion (2024)
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
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow. CoRR (2023)
Jixiang Qing, Ivo Couckuyt, Tom Dhaene
A robust multi-objective Bayesian optimization framework considering input uncertainty. J. Glob. Optim. 86 (3) (2023)
Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. AISTATS (2023)
Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt
Open-Set Patient Activity Recognition With Radar Sensors and Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Ioana Nikova, Tom Dhaene, Ivo Couckuyt
Cost-Aware Active Learning for Feasible Region Identification. GECCO Companion (2023)
Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl
Bayesian Optimization. GECCO Companion (2023)
Nasrulloh R. B. S. Loka, Ivo Couckuyt, Federico Garbuglia, Domenico Spina, Inneke Van Nieuwenhuyse, Tom Dhaene
Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions. Eng. Comput. 39 (3) (2023)
Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt
Finding Knees in Bayesian Multi-objective Optimization. PPSN (1) (2022)
Jixiang Qing, Tom Dhaene, Ivo Couckuyt
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. ICML (2022)
Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt
ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints. CoRR (2022)
Kyle Foss, Ivo Couckuyt, Adrian Baruta, Corentin Mossoux
Automated Software Defect Detection and Identification in Vehicular Embedded Systems. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt
Patient activity recognition using radar sensors and machine learning. Neural Comput. Appl. 34 (18) (2022)
Jixiang Qing, Ivo Couckuyt, Tom Dhaene
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty. CoRR (2022)
Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives. IECON (2022)
Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke
Bayesian optimization: tutorial. GECCO Companion (2022)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR (2021)
Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, Tom Dhaene
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. Knowl. Based Syst. 227 (2021)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202 (2021)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32 (16) (2020)
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) (2020)
Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani
Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. WSC (2020)
Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene
Active Learning for Feasible Region Discovery. ICMLA (2019)
Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN (2018)
Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56 (7) (2018)
Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling. CoRR (2017)
A. Kaintura, Domenico Spina, Ivo Couckuyt, Luc Knockaert, Wim Bogaerts, Tom Dhaene
A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications. Eng. Comput. 33 (4) (2017)
Prashant Singh, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, Tom Dhaene
Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. J. Optim. Theory Appl. 175 (1) (2017)
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)
Michael Tetemke Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Günter Vermeeren, David Plets, Wout Joseph, Luc Martens, Tom Dhaene, Ingrid Moerman
Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility. IEEE Trans. Wirel. Commun. 15 (10) (2016)
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 (2016)
Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Joris Degroote, Eric Laermans
Performance study of gradient-enhanced Kriging. Eng. Comput. 32 (1) (2016)
Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. CoRR (2016)
Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
Sensitivity analysis of expensive black-box systems using metamodeling. WSC (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. 99 (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR (2016)
Sayed Ahmed Imran Bellary, Abdus Samad, Ivo Couckuyt, Tom Dhaene
A comparative study of kriging variants for the optimization of a turbomachinery system. Eng. Comput. 32 (1) (2016)
Selvakumar Ulaganathan, Dirk Deschrijver, Mostafa Pakparvar, Ivo Couckuyt, Wei Liu, David Plets, Wout Joseph, Tom Dhaene, Luc Martens, Ingrid Moerman
Building accurate radio environment maps from multi-fidelity spectrum sensing data. Wirel. Networks 22 (8) (2016)
Keiichi Ito, Ivo Couckuyt, Silvia Poles, Tom Dhaene
Variance-based interaction index measuring heteroscedasticity. Comput. Phys. Commun. 203 (2016)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR (2016)
Keiichi Ito, Ivo Couckuyt, Roberto D'Ippolito, Tom Dhaene
Design space exploration using Self-Organizing Map based adaptive sampling. Appl. Soft Comput. 43 (2016)
Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote
A hybrid sequential sampling based metamodelling approach for high dimensional problems. CEC (2016)
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)
Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. BMC Medical Informatics Decis. Mak. 15 (2015)
Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene
A Matlab Toolbox for Kriging Metamodelling. ICCS (2015)
Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Daan Pareit, Tom Dhaene, Ingrid Moerman
Efficient global optimization of multi-parameter network problems on wireless testbeds. Ad Hoc Networks 29 (2015)
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) (2015)
Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC (2015)
Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote
On the use of gradients in kriging surrogate models. WSC (2014)
Ivo Couckuyt, Tom Dhaene, Piet Demeester
ooDACE toolbox: a flexible object-oriented Kriging implementation. J. Mach. Learn. Res. 15 (1) (2014)
Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
Classification aided domain reduction for high dimensional optimization. WSC (2014)
Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization. J. Glob. Optim. 60 (3) (2014)
Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Tom Dhaene, Ingrid Moerman
Efficient multi-objective optimization of wireless network problems on wireless testbeds. CNSM (2014)
Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene
A constrained multi-objective surrogate-based optimization algorithm. IEEE Congress on Evolutionary Computation (2014)
Ivo Couckuyt, Jef Aernouts, Dirk Deschrijver, Filip De Turck, Tom Dhaene
Identification of quasi-optimal regions in the design space using surrogate modeling. Eng. Comput. 29 (2) (2013)
Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene
The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON (2013)
Guillaume Crevecoeur, Ahmed Abou-Elyazied Abdallh, Ivo Couckuyt, Luc Dupré, Tom Dhaene
Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor. Eng. Comput. 28 (2) (2012)
Ivo Couckuyt, A. Forrester, Dirk Gorissen, Filip De Turck, Tom Dhaene
Blind Kriging: Implementation and performance analysis. Adv. Eng. Softw. 49 (2012)
Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene
Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. IEEE Congress on Evolutionary Computation (2012)
Huu Minh Nguyen, Ivo Couckuyt, Luc Knockaert, Tom Dhaene, Dirk Gorissen, Yvan Saeys
An alternative approach to avoid overfitting for surrogate models. WSC (2011)
Ivo Couckuyt, Filip De Turck, Tom Dhaene, Dirk Gorissen
Automatic surrogate model type selection during the optimization of expensive black-box problems. WSC (2011)
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom Dhaene, Karel Crombecq
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design. J. Mach. Learn. Res. 11 (2010)
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene
Multiobjective global surrogate modeling, dealing with the 5-percent problem. Eng. Comput. 26 (1) (2010)
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom Dhaene
Pareto-Based Multi-output Model Type Selection. HAIS (2009)
Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene
Pareto-Based Multi-output Metamodeling with Active Learning. EANN (2009)
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric Laermans, Tom Dhaene
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling. ICANNGA (2009)