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ORCIDIvo Couckuyt
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- affiliation: Ghent University, Belgium
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2020 – today
- 2024
[j34]Nasrulloh R. B. S. Loka, Mohamed Ibrahim, Ivo Couckuyt, Inneke Van Nieuwenhuyse
, Tom Dhaene:
Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design. Eng. Comput. 40(4): 2143-2159 (2024)- [j33]Alejandro Morales Hernández, Sebastian Rojas-Gonzalez, Inneke Van Nieuwenhuyse, Ivo Couckuyt, Jeroen Jordens, Maarten Witters, Bart Van Doninck:
Bayesian multi-objective optimization of process design parameters in constrained settings with noise: an engineering design application. Eng. Comput. 40(4): 2497-2511 (2024) - [j32]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: 1-14 (2024) - [c32]Jorik De Bruycker, Michiel De Wilde, Federico Garbuglia, Ioana Nikova, Ivo Couckuyt, Tom Dhaene, Nobby Stevens:
Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles. CSNDSP 2024: 318-323 - [c31]Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. GECCO Companion 2024: 339-342 - [c30]Juergen Branke, Sebastian Rojas-Gonzalez, Ivo Couckuyt:
Bayesian Optimization. GECCO Companion 2024: 772-790 - [c29]Adrian Bekasiewicz, Mariusz Dzwonkowski, Tom Dhaene, Ivo Couckuyt:
Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure. ICCS (3) 2024: 11-18 - [c28]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: 37-45 - [i11]Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO. CoRR abs/2401.06649 (2024) - [i10]Jack M. Buckingham, Ivo Couckuyt, Juergen Branke:
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems. CoRR abs/2408.17387 (2024) - [i9]Jolan Wauters, Tom Lefebvre, Joris Degroote, Ivo Couckuyt, Guillaume Crevecoeur:
Introducing DAIMYO: a first-time-right dynamic design architecture and its application to tail-sitter UAS development. CoRR abs/2409.09820 (2024) - 2023
- [j31]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): 1923-1933 (2023) - [j30]Jixiang Qing, Ivo Couckuyt, Tom Dhaene:
A robust multi-objective Bayesian optimization framework considering input uncertainty. J. Glob. Optim. 86(3): 693-711 (2023) - [j29]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: 1-5 (2023) - [c27]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. AISTATS 2023: 2565-2588 - [c26]Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke, Bernd Bischl:
Bayesian Optimization. GECCO Companion 2023: 895-912 - [c25]Ioana Nikova, Tom Dhaene, Ivo Couckuyt:
Cost-Aware Active Learning for Feasible Region Identification. GECCO Companion 2023: 2286-2288 - [i8]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 abs/2302.08436 (2023) - 2022
- [j28]Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt:
Patient activity recognition using radar sensors and machine learning. Neural Comput. Appl. 34(18): 16033-16048 (2022) - [j27]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): 6963-6973 (2022) - [c24]Ivo Couckuyt, Sebastian Rojas-Gonzalez, Jürgen Branke:
Bayesian optimization: tutorial. GECCO Companion 2022: 843-863 - [c23]Jixiang Qing, Tom Dhaene, Ivo Couckuyt:
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. ICML 2022: 18096-18121 - [c22]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: 1-6 - [c21]Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt:
Finding Knees in Bayesian Multi-objective Optimization. PPSN (1) 2022: 104-117 - [i7]Jixiang Qing, Ivo Couckuyt, Tom Dhaene:
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty. CoRR abs/2202.12848 (2022) - [i6]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints. CoRR abs/2204.05411 (2022) - 2021
- [j26]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: 103111 (2021) - [j25]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: 107151 (2021) - [i5]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 abs/2101.10562 (2021) - 2020
- [j24]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): 12295-12309 (2020) - [j23]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) - [c20]Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani:
Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. WSC 2020: 2779-2790 - [p2]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
- [c19]Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene:
Active Learning for Feasible Region Discovery. ICMLA 2019: 567-572 - 2018
- [j22]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): 3941-3952 (2018) - [c18]Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene:
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN 2018: 16-27 - 2017
- [j21]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): 935-949 (2017) - [j20]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): 172-193 (2017) - [c17]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
- [j19]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) - [j18]Keiichi Ito, Ivo Couckuyt, Roberto D'Ippolito, Tom Dhaene:
Design space exploration using Self-Organizing Map based adaptive sampling. Appl. Soft Comput. 43: 337-346 (2016) - [j17]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) - [j16]Keiichi Ito, Ivo Couckuyt, Silvia Poles, Tom Dhaene:
Variance-based interaction index measuring heteroscedasticity. Comput. Phys. Commun. 203: 152-161 (2016) - [j15]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Joris Degroote, Eric Laermans:
Performance study of gradient-enhanced Kriging. Eng. Comput. 32(1): 15-34 (2016) - [j14]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): 49-59 (2016) - [j13]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): 6662-6675 (2016) - [j12]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): 2551-2562 (2016) - [c16]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 - [c15]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote:
A hybrid sequential sampling based metamodelling approach for high dimensional problems. CEC 2016: 1917-1923 - [c14]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
- [j11]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: 15-31 (2015) - [j10]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) - [j9]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: 83 (2015) - [j8]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) - [c13]Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene:
A Matlab Toolbox for Kriging Metamodelling. ICCS 2015: 2708-2713 - [c12]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
- [j7]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): 575-594 (2014) - [j6]Ivo Couckuyt, Tom Dhaene, Piet Demeester:
ooDACE toolbox: a flexible object-oriented Kriging implementation. J. Mach. Learn. Res. 15(1): 3183-3186 (2014) - [c11]Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene:
A constrained multi-objective surrogate-based optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 3080-3087 - [c10]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: 212-217 - [c9]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote:
On the use of gradients in kriging surrogate models. WSC 2014: 2692-2701 - [c8]Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene:
Classification aided domain reduction for high dimensional optimization. WSC 2014: 3928-3939 - 2013
- [j5]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): 127-138 (2013) - [c7]Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene:
The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON 2013: 1-4 - 2012
- [j4]Ivo Couckuyt, A. Forrester, Dirk Gorissen, Filip De Turck, Tom Dhaene:
Blind Kriging: Implementation and performance analysis. Adv. Eng. Softw. 49: 1-13 (2012) - [j3]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): 199-207 (2012) - [c6]Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2011
- [c5]Huu Minh Nguyen, Ivo Couckuyt, Luc Knockaert, Tom Dhaene, Dirk Gorissen, Yvan Saeys:
An alternative approach to avoid overfitting for surrogate models. WSC 2011: 2765-2776 - [c4]Ivo Couckuyt, Filip De Turck, Tom Dhaene, Dirk Gorissen:
Automatic surrogate model type selection during the optimization of expensive black-box problems. WSC 2011: 4274-4284 - 2010
- [j2]Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene:
Multiobjective global surrogate modeling, dealing with the 5-percent problem. Eng. Comput. 26(1): 81-98 (2010) - [j1]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: 2051-2055 (2010)
2000 – 2009
- 2009
- [c3]Dirk Gorissen, Ivo Couckuyt, Eric Laermans, Tom Dhaene:
Pareto-Based Multi-output Metamodeling with Active Learning. EANN 2009: 389-400 - [c2]Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom Dhaene:
Pareto-Based Multi-output Model Type Selection. HAIS 2009: 442-449 - [c1]Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric Laermans, Tom Dhaene:
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling. ICANNGA 2009: 548-558 - [p1]Dirk Gorissen, Karel Crombecq, Ivo Couckuyt, Tom Dhaene:
Automatic Approximation of Expensive Functions with Active Learning. Foundations of Computational Intelligence (1) 2009: 35-62
Coauthor Index
[j34] [c32] [c31] [c29] [c28] [i11] [j31] [j30] [j29] [c27] [c25] [j28] [c23] [c22] [c21] [i7] [i6] [j25] [j24] [j23] [c20] [p2] [c19] [j22] [c18] [j21] [j20] [c17] [i4] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [c16] [c15] [c14] [i3] [i2] [i1] [j11] [j10] [j9] [j8] [c13] [c12] [j7] [j6] [c11] [c10] [c9] [c8] [j5] [c7] [j4] [j3] [c6] [c5] [c4] [j2] [j1] [c3] [c2] [c1] [p1]
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