Pareto-Based Multi-output Metamodeling with Active Learning. - Dirk Gorissen; Ivo Couckuyt; Eric Laermans; Tom Dhaene (EANN, 2009)

Pareto-Based Multi-output Model Type Selection. - Dirk Gorissen; Ivo Couckuyt; Karel Crombecq; Tom Dhaene (HAIS, 2009)

Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling. - Ivo Couckuyt; Dirk Gorissen; Hamed Rouhani; Eric Laermans; Tom Dhaene (ICANNGA, 2009)

Automatic Approximation of Expensive Functions with Active Learning. - Dirk Gorissen; Karel Crombecq; Ivo Couckuyt; Tom Dhaene (Foundations of Computational Intelligence (1), 2009)

Multiobjective global surrogate modeling, dealing with the 5-percent problem. - Dirk Gorissen; Ivo Couckuyt; Eric Laermans; Tom Dhaene (Eng. Comput., 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)

Automatic surrogate model type selection during the optimization of expensive black-box problems. - Ivo Couckuyt; Filip De Turck; Tom Dhaene; Dirk Gorissen (WSC, 2011)

An alternative approach to avoid overfitting for surrogate models. - Huu Minh Nguyen; Ivo Couckuyt; Luc Knockaert; Tom Dhaene; Dirk Gorissen; Yvan Saeys (WSC, 2011)

Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions. - Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (IEEE Congress on Evolutionary Computation, 2012)

Blind Kriging: Implementation and performance analysis. - Ivo Couckuyt; A. Forrester; Dirk Gorissen; Filip De Turck; Tom Dhaene (Adv. Eng. Softw., 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)

The SUMO toolbox: A tool for automatic regression modeling and active learning. - Ivo Couckuyt; Dirk Gorissen; Karel Crombecq; Dirk Deschrijver; Tom Dhaene (AFRICON, 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)

A constrained multi-objective surrogate-based optimization algorithm. - Prashant Singh; Ivo Couckuyt; Francesco Ferranti; Tom Dhaene (IEEE Congress on Evolutionary Computation, 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 (CNSM, 2014)

Classification aided domain reduction for high dimensional optimization. - Prashant Singh; Francesco Ferranti; Dirk Deschrijver; Ivo Couckuyt; Tom Dhaene (WSC, 2014)

On the use of gradients in kriging surrogate models. - Selvakumar Ulaganathan; Ivo Couckuyt; Tom Dhaene; Eric Laermans; Joris Degroote (WSC, 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)

ooDACE toolbox: a flexible object-oriented Kriging implementation. - Ivo Couckuyt; Tom Dhaene; Piet Demeester (J. Mach. Learn. Res., 2014)

A Matlab Toolbox for Kriging Metamodelling. - Selvakumar Ulaganathan; Ivo Couckuyt; Dirk Deschrijver; Eric Laermans; Tom Dhaene (ICCS, 2015)

Constructing classifiers of expensive simulation-based data by sequential experimental design. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (WSC, 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)

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)

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)

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)

Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (CEC, 2016)

A hybrid sequential sampling based metamodelling approach for high dimensional problems. - Selvakumar Ulaganathan; Ivo Couckuyt; Tom Dhaene; Eric Laermans; Joris Degroote (CEC, 2016)

Sensitivity analysis of expensive black-box systems using metamodeling. - Tom Van Steenkiste; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (WSC, 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)

Design space exploration using Self-Organizing Map based adaptive sampling. - Keiichi Ito; Ivo Couckuyt; Roberto D'Ippolito; Tom Dhaene (Appl. Soft Comput., 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)

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. - Joachim van der Herten; Ivo Couckuyt; 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)

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. - Joachim van der Herten; Ivo Couckuyt; Dirk Deschrijver; Tom Dhaene (CoRR, 2016)

Variance-based interaction index measuring heteroscedasticity. - Keiichi Ito; Ivo Couckuyt; Silvia Poles; Tom Dhaene (Comput. Phys. Commun., 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)

Performance study of gradient-enhanced Kriging. - Selvakumar Ulaganathan; Ivo Couckuyt; Tom Dhaene; Joris Degroote; Eric Laermans (Eng. Comput., 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)

Building accurate radio environment maps from multi-fidelity spectrum sensing data. - Selvakumar Ulaganathan; Dirk Deschrijver; Mostafa Pakparvar; Ivo Couckuyt; Wei Liu 019; David Plets; Wout Joseph; Tom Dhaene; Luc Martens; Ingrid Moerman (Wirel. Networks, 2016)

Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. - Vincent Dutordoir; Nicolas Knudde; Joachim van der Herten; Ivo Couckuyt; Tom Dhaene (WSC, 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)

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)

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. - Vincent Polfliet; Nicolas Knudde; Baptist Vandersmissen; Ivo Couckuyt; Tom Dhaene (EANN, 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)

Active Learning for Feasible Region Discovery. - Nicolas Knudde; Ivo Couckuyt; Kohei Shintani; Tom Dhaene (ICMLA, 2019)

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. - Jixiang Qing; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene; Kohei Shintani (WSC, 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)

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)

Multi-objective Bayesian Optimization for Engineering Simulation. - Joachim van der Herten; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene (High-Performance Simulation-Based Optimization, 2020)

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)

Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. - Quan Lin; Jiexiang Hu; Qi Zhou 006; Yuansheng Cheng; Zhen Hu; Ivo Couckuyt; Tom Dhaene (Knowl. Based Syst., 2021)

Bayesian optimization: tutorial. - Ivo Couckuyt; Sebastian Rojas-Gonzalez; Jürgen Branke (GECCO Companion, 2022)

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. - Jixiang Qing; Tom Dhaene; Ivo Couckuyt (ICML, 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 (IECON, 2022)

Finding Knees in Bayesian Multi-objective Optimization. - Arash Heidari; Jixiang Qing; Sebastian Rojas-Gonzalez; Jürgen Branke; Tom Dhaene; Ivo Couckuyt (PPSN (1), 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)

Patient activity recognition using radar sensors and machine learning. - Geethika Bhavanasi; Lorin Werthen-Brabants; Tom Dhaene; Ivo Couckuyt (Neural Comput. Appl., 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)

PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. - Jixiang Qing; Henry B. Moss; Tom Dhaene; Ivo Couckuyt (AISTATS, 2023)

Bayesian Optimization. - Ivo Couckuyt; Sebastian Rojas-Gonzalez; Jürgen Branke; Bernd Bischl (GECCO Companion, 2023)

Cost-Aware Active Learning for Feasible Region Identification. - Ioana Nikova; Tom Dhaene; Ivo Couckuyt (GECCO Companion, 2023)

Data-Efficient Interactive Multi-objective Optimization Using ParEGO. - Arash Heidari; Sebastian Rojas-Gonzalez; Tom Dhaene; Ivo Couckuyt (PKDD/ECML Workshops (3), 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; et al. (CoRR, 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)

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)

A robust multi-objective Bayesian optimization framework considering input uncertainty. - Jixiang Qing; Ivo Couckuyt; Tom Dhaene (J. Glob. Optim., 2023)

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 (CSNDSP, 2024)

Bayesian Optimization. - Juergen Branke; Sebastian Rojas-Gonzalez; Ivo Couckuyt (GECCO Companion, 2024)

Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. - Arash Heidari; Sebastian Rojas-Gonzalez; Tom Dhaene; Ivo Couckuyt (GECCO Companion, 2024)

Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications. - Adrian Bekasiewicz; Tom Dhaene; Ivo Couckuyt; Jacek Andrzej Litka (ICCS (3), 2024)

Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure. - Adrian Bekasiewicz; Mariusz Dzwonkowski; Tom Dhaene; Ivo Couckuyt (ICCS (3), 2024)

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems. - Jack M. Buckingham; Ivo Couckuyt; Juergen Branke (CoRR, 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)

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)

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., 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., 2024)

Towards Trustworthy Surrogate Models for Augmenting Certification: Fuel Tank Flammability Reduction System. - Arash Heidari; Lorin Werthen-Brabants; Sebastian Rojas-Gonzalez; Ivo Couckuyt; Can Onur; Pieter van Gils; Ivana Jojic (J. Aerosp. Inf. Syst., 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)