Research Explorer

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Onderzoeker

Ivo Couckuyt

Prijzen & Erkenningen

179 Resultaten

2025

A novel Kriging-assisted multi-objective optimisation method considering infeasibility ratio under input uncertainty

Hua WeiQi ZhouTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in JOURNAL OF ENGINEERING DESIGN

Bayesian optimization of microwave filters : a physics-informed approach using the Szegö kernel

Yens LindemansThijs UllrickIvo CouckuytDirk DeschrijverTom Dhaene

Data-efficient interactive multi-objective optimization using ParEGO

Arash HeidariSebastian Rojas GonzalezTom DhaeneIvo Couckuyt

Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuel

Victor Jose Casas MolinaPablo RomojaroGwennaelle NourryGert van den EyndeLuca FioritoIvan Merino-RodriguezTom DhaeneIvo Couckuyt

A2 Artikel in een tijdschrift in DATA IN BRIEF

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

Adrian BekasiewiczKhadijeh AskaripourMariusz DzwonkowskiTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in JOURNAL OF COMPUTATIONAL SCIENCE

2024

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

Alejandro Morales HernándezSebastian Rojas GonzalezInneke Van NieuwenhuyseIvo CouckuytJeroen JordensMaarten WittersBart Van Doninck

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Victor Jose Casas MolinaEric LaloyBart RogiersTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

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

Nasrulloh Ratu Bagus Satrio LokaMohamed IbrahimIvo CouckuytInneke Van NieuwenhuyseTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Data-driven surrogate modeling for the flammability reduction system

Arash HeidariLorin Werthen-BrabantsTom DhaeneIvo CouckuytC. OnurP. Van GilsI. Jojic

Evaluation of machine learning models for received signal strength based visible light positioning with obstacles

Jorik De BruyckerMichiel De WildeFederico GarbugliaIoana NikovaIvo CouckuytTom DhaeneNobby Stevens

Globalized trust-region optimization: An unassuming approach

Yens LindemansA. BekasiewiczIvo CouckuytTom Dhaene

Lower confidence bound for preference selection in interactive multi-objective optimization

Arash HeidariSebastian Rojas GonzalezTom DhaeneIvo Couckuyt

Miniaturization-oriented design of spline-parameterized UWB antenna for in-door positioning applications

Adrian BekasiewiczTom DhaeneIvo CouckuytJacek Litka

Multi-objective constrained robust design of a metamaterial vibration isolator with a limited budget

Hua WeiQi ZhouTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in JOURNAL OF ENGINEERING DESIGN

Optimized data transmission for radar-based edge-cloud human activity recognition via quantization

Victor TuytteArash HeidariLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

Optimizing memory footprint for radar-based human activity recognition on resource-constrained devices

Arash HeidariLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

Specification-oriented automatic design of topologically agnostic antenna structure

Adrian BekasiewiczMariusz DzwonkowskiTom DhaeneIvo Couckuyt

Surrogate-assisted evolutionary algorithm for the calibration of distributed hydrological models based on two-dimensional shallow water equations

Juan Fernando Farfán DuránArash HeidariTom DhaeneIvo CouckuytLuis Cea

A1 Artikel in een tijdschrift in WATER

Towards trustworthy neural networks for certification by analysis : fuel tank flammability reduction system

P. Van GilsC. OnurI. JojicArash HeidariSebastian Rojas GonzalezLorin Werthen-BrabantsIvo Couckuyt

Trieste : efficiently exploring the depths of black-box functions with TensorFlow

V. PichenyJ. BerkelyH. StojicU. GrantaS.W. OberA. ArtemevK. GhaniA. GoodallA. PaleyesS. Vakill et al.

Wind turbine hybrid physics-based deep learning model for a health monitoring approach considering provision of ancillary services

Nezmin KayedpourJixiang QingJolan WautersJeroen De KooningIvo CouckuytGuillaume Crevecoeur

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

2023

A combined data-driven, experimental and modelling approach for assessing the optimal composition of impregnation products for cementitious materials

Janez PerkoEric LaloyRafael ZarzuelaIvo CouckuytRamiro Garcia NavarroMaria J. Mosquera

A1 Artikel in een tijdschrift in CEMENT & CONCRETE COMPOSITES

A robust multi-objective Bayesian optimization framework considering input uncertainty

Jixiang QingIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in JOURNAL OF GLOBAL OPTIMIZATION

Bayesian active learning for engineering design and optimization under uncertainty

Jixiang QingTom DhaeneIvo Couckuyt

Bayesian optimization for engineering design and process optimization

Nasrulloh Ratu Bagus Satrio LokaTom DhaeneIvo CouckuytInneke Van NieuwenhuyseSebastian Rojas Gonzales

Bayesian optimization for microwave devices using deep GP spectral surrogate models

Federico GarbugliaDomenico SpinaDirk DeschrijverIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES

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

Nasrulloh Ratu Bagus Satrio LokaIvo CouckuytFederico GarbugliaDomenico SpinaInneke Van NieuwenhuyseTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Cost-aware active learning for feasible region identification

Ioana NikovaTom DhaeneIvo Couckuyt

Essays on machine learning : advances in forecasting and optimization

Alejandro Morales HernándezInneke Van NieuwenhuyseIvo CouckuytKoenraad Vanhoof

Machine learning with radar sensors for smart healthcare

Geethika BhavanasiTom DhaeneIvo Couckuyt

Open-set patient activity recognition with radar sensors and deep learning

Geethika BhavanasiLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

Optimization of plasma-assisted surface treatment for adhesive bonding via artificial intelligence

Jeroen JordensBart Van DoninckNasrulloh Ratu Bagus Satrio LokaAlejandro Morales HernándezIvo CouckuytInneke Van NieuwenhuyseMaarten Witters

{PF}²ES : parallel feasible pareto frontier entropy search for multi-objective Bayesian optimization

Jixiang QingHenry B. MossTom DhaeneIvo Couckuyt

2022

A robust Bayesian optimization framework for microwave circuit design under uncertainty

Duygu De WitteJixiang QingIvo CouckuytTom DhaeneDries Vande GinsteDomenico Spina

A1 Artikel in een tijdschrift in ELECTRONICS

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

Jixiang QingNicolas KnuddeFederico GarbugliaDomenico SpinaIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Automated software defect detection and identification in vehicular embedded systems

Kyle Powers FossIvo CouckuytAdrian BarutaCorentin Mossoux

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Bayesian active learning for radiation pattern sampling over cylindrical surfaces

Federico GarbugliaTim ClaeysIvo CouckuytDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

Bayesian optimization : tutorial

Ivo CouckuytSebastian Rojas GonzalezJuergen Branke

Data-efficient feasible region identification for engineering design

Ioana NikovaIvo CouckuytTom Dhaene

Finding knees in Bayesian multi-objective optimization

Arash HeidariJixiang QingSebastian Rojas GonzalezJürgen BrankeTom DhaeneIvo Couckuyt

Multi-objective optimization : which solution do you prefer?

Arash HeidariTom DhaeneIvo Couckuyt

Patient activity recognition using radar sensors and machine learning

Geethika BhavanasiLorin Werthen-BrabantsTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in NEURAL COMPUTING & APPLICATIONS

Quantifying uncertainty in real time with split BiRNN for radar human activity recognition

Lorin Werthen-BrabantsGeethika BhavanasiIvo CouckuytTom DhaeneDirk Deschrijver

S-parameter modeling and optimization using deep Gaussian processes

Federico GarbugliaDomenico SpinaDirk DeschrijverIvo CouckuytTom Dhaene

SAMURAI : a new asynchronous Bayesian optimization technique for optimization-under-uncertainty

Jolan WautersJoris DegrooteIvo CouckuytGuillaume Crevecoeur

A1 Artikel in een tijdschrift in AIAA JOURNAL

Spectral representation of robustness measures for optimization under input uncertainty

Jixiang QingTom DhaeneIvo Couckuyt

Split BiRNN for real-time activity recognition using radar and deep learning

Lorin Werthen-BrabantsGeethika BhavanasiIvo CouckuytTom DhaeneDirk Deschrijver

A1 Artikel in een tijdschrift in SCIENTIFIC REPORTS

Surrogate modelling of dynamic phasor simulations of electrical drives

Nasrulloh Ratu Bagus Satrio LokaSriram Karthik GurumurthyBernard AmevorAntonello MontiTom DhaeneIvo Couckuyt

Tailoring radar-based patient monitoring models to real-life needs using utility maximization

Louis Vincent-De SlooverLorin Werthen-BrabantsGeethika BhavanasiTom DhaeneIvo Couckuyt

2021

Bayesian active learning for multi-objective feasible region identification in microwave devices

Federico GarbugliaJixiang QingNicolas KnuddeDomenico SpinaIvo CouckuytDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in ELECTRONICS LETTERS

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

Jolan WautersIvo CouckuytJoris Degroote

A1 Artikel in een tijdschrift in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

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

Utku ÖzbulakBaptist VandersmissenAzarakhsh JalalvandIvo CouckuytArnout Van MessemWesley De Neve

A1 Artikel in een tijdschrift in COMPUTER VISION AND IMAGE UNDERSTANDING

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

Quan LinJiexiang HuQi ZhouYuansheng ChengZhen HuIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in KNOWLEDGE-BASED SYSTEMS

2020

A Bayesian optimisation procedure for estimating optimal trajectories in electromagnetic compliance testing

Rémi DelangheTom Van SteenkisteIvo CouckuytDirk DeschrijverTom Dhaene

A set based design method using bayesian active learning

K. ShintaniT. SugaiJ. IshizakiNicolas KnuddeIvo CouckuytTom Dhaene

Batch Bayesian active learning for feasible region identification by local penalization

Jixiang QingNicolas KnuddeIvo CouckuytTom DhaeneKohei Shintani

Bayesian active learning for electromagnetic structure design

Jixiang QingNicolas KnuddeIvo CouckuytDomenico SpinaTom Dhaene

Development and application of surrogate-assisted optimization under uncertainty strategies for unmanned aerial vehicles

Jolan WautersJoris DegrooteIvo Couckuyt

Fast characterization of input-output behavior of non-charge-based logic devices by machine learning

Arun KainturaKyle Powers FossOdysseas ZografosIvo CouckuytAdrien VayssetTom DhaeneBart Soree

A1 Artikel in een tijdschrift in ELECTRONICS

Gaussian processes for modelling and optimization of engineering systems

Nicolas KnuddeTom DhaeneIvo Couckuyt

Hierarchical Gaussian process models for improved metamodeling

Nicolas KnuddeVincent DutordoirJoachim van der HertenIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION

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

Baptist VandersmissenNicolas KnuddeAzarakhsh JalalvandIvo CouckuytTom DhaeneWesley De Neve

A1 Artikel in een tijdschrift in NEURAL COMPUTING & APPLICATIONS

Machine learning-based hybrid random-fuzzy modeling framework for antenna design

Duygu De WitteSimon De RidderDomenico SpinaIvo CouckuytFlavia GrassiTom DhaeneHendrik RogierDries Vande Ginste

Multi-objective Bayesian optimization for engineering simulation

Joachim van der HertenNicolas KnuddeIvo CouckuytTom Dhaene

Hoofdstuk in een boek in High-performance simulation-based optimization

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

Jolan WautersIvo CouckuytNicolas KnuddeTom DhaeneJoris Degroote

A1 Artikel in een tijdschrift in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

2019

Active learning for feasible region discovery

Nicolas KnuddeIvo CouckuytKohei ShintaniTom Dhaene

Data-efficient machine learning for physics-based simulations

Arun KainturaTom DhaeneIvo Couckuyt

Data-efficient sensitivity analysis with surrogate modeling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene

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

Nicolas KnuddeIvo CouckuytTom Dhaene

2018

Data-efficient bayesian optimization with constraints for power amplifier design

Nicolas KnuddeIvo CouckuytDomenico SpinaK. LukasikP. BarmutaD. SchreursTom Dhaene

Indoor person identification using a low-power FMCW radar

Baptist VandersmissenNicolas KnuddeAzarakhsh JalalvandIvo CouckuytAndre BourdouxWesley De NeveTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Machine learning for fast characterization of magnetic logic devices

Arun KainturaKyle Powers FossIvo CouckuytTom DhaeneOdysseas ZografosAdrien VayssetBart Soree

Sequential sensitivity analysis of expensive black-box simulators with metamodelling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in APPLIED MATHEMATICAL MODELLING

Structured inference networks using high-dimensional sensors for surveillance purposes

Vincent PolflietNicolas KnuddeBaptist VandersmissenIvo CouckuytTom Dhaene

2017

A Kriging and stochastic collocation ensemble for uncertainty quantification in engineering applications

Arun KainturaDomenico SpinaIvo CouckuytLuc KnockaertWim BogaertsTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

A sequential sampling strategy for adaptive classification of computationally expensive data

Prashant SinghJoachim van der HertenDirk DeschrijverIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Constrained multi-objective antenna design optimization using surrogates

Prashant SinghMarco RossiIvo CouckuytDirk DeschrijverHendrik RogierTom Dhaene

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

Data-efficient machine learning for design and optimisation of complex systems

Joachim van der HertenTom DhaeneIvo Couckuyt

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

Vincent DutordoirNicolas KnuddeJoachim van der HertenIvo CouckuytTom Dhaene

GPflowOpt : a bayesian optimization library using tensorflow

Nicolas KnuddeJoachim van der HertenTom DhaeneIvo Couckuyt

Gaussian processes for history-matching : application to an unconventional gas reservoir

Hamidreza HamdiIvo CouckuytMario Costa SousaTom Dhaene

A1 Artikel in een tijdschrift in COMPUTATIONAL GEOSCIENCES

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

Nicolas KnuddeBaptist VandersmissenK. ParasharIvo CouckuytAzarakhsh JalalvandA BourdouxWesley De NeveTom Dhaene

Multi-objective geometry optimization of a gas cyclone using triple-fidelity co-kriging surrogate models

Prashant SinghIvo CouckuytKhairy ElsayedDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS

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

Dirk I. L. de VilliersIvo CouckuytTom Dhaene

Surrogate modeling with sequential design for design and analysis of electronic systems

Joachim van der HertenVincent DutordoirIvo CouckuytTom Dhaene

Surrogate modelling with sequential design for expensive simulation applications

Joachim van der HertenTom Van SteenkisteIvo CouckuytTom Dhaene

Hoofdstuk in een boek in Computer simulation

2016

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

Sayed Ahmed Imran BellaryAbdus SamadIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

A hybrid sequential sampling based metamodelling approach for high dimensional problems

Selvakumar UlaganathanIvo CouckuytTom DhaeneEric LaermansJoris Degroote

Active learning for approximation of expensive functions with normal distributed output uncertainty

Joachim van der HertenIvo CouckuytDirk DeschrijverTom Dhaene

Adaptive classification under computational budget constraints using sequential data gathering

Joachim van der HertenIvo CouckuytDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in ADVANCES IN ENGINEERING SOFTWARE

Adaptive modeling and sampling methodologies for Internet of Things applications

Joachim van der HertenIvo CouckuytDirk DeschrijverPiet DemeesterTom Dhaene

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

Selvakumar UlaganathanDirk DeschrijverMostafa PakparvarIvo CouckuytWei LiuDavid PletsWout JosephTom DhaeneLuc MartensIngrid Moerman

A1 Artikel in een tijdschrift in WIRELESS NETWORKS

Comparison study of PC and kriging based surrogate modeling

Arun KainturaDomenico SpinaIvo CouckuytTom Dhaene

Data-driven model based design and analysis of antenna structures

Selvakumar UlaganathanSlawomir KozielAdrian BekasiewiczIvo CouckuytEric LaermansTom Dhaene

A1 Artikel in een tijdschrift in IET MICROWAVES ANTENNAS & PROPAGATION

Design space exploration using self-organizing map based adaptive sampling

Keiichi ItoIvo CouckuytRoberto d'IppolitoTom Dhaene

A1 Artikel in een tijdschrift in APPLIED SOFT COMPUTING

Efficient identification of a multi-objective pareto front on a wireless experimentation facility

Michael MehariEli De PoorterIvo CouckuytDirk DeschrijverGünter VermeerenDavid PletsWout JosephLuc MartensTom DhaeneIngrid Moerman

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

High dimensional Kriging metamodelling utilising gradient information

Selvakumar UlaganathanIvo CouckuytTom DhaeneJoris DegrooteEric Laermans

A1 Artikel in een tijdschrift in APPLIED MATHEMATICAL MODELLING

Hypervolume-based multi-objective bayesian optimization with student-t processes

Joachim van der HertenIvo CouckuytTom Dhaene

Low-cost surrogate models for microwave filters

Natalia LeszczynskaIvo CouckuytTom DhaeneMichal Mrozowski

A1 Artikel in een tijdschrift in IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS

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

Joachim van der HertenIvo CouckuytDirk DeschrijverTom Dhaene

Optimization of silicon photonic components using multi-fidelity simulations and co-kriging

P. WahlIvo CouckuytC. KremersF. DemmingTom DhaeneWim Bogaerts

Performance study of gradient-enhanced Kriging

Selvakumar UlaganathanIvo CouckuytTom DhaeneJoris DegrooteEric Laermans

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Random survival forests for predicting the bed occupancy in the intensive care unit

Joeri RuyssinckJoachim van der HertenRein HouthooftFemke OngenaeIvo CouckuytBram GadeyneKirsten ColpaertJohan DecruyenaereFilip De TurckTom Dhaene

A1 Artikel in een tijdschrift in COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE

Sampling high-dimensional design spaces for analysis and optimization

Keiichi ItoTom DhaeneIvo Couckuyt

Sensitivity analysis of expensive black-box systems using metamodeling

Tom Van SteenkisteJoachim van der HertenIvo CouckuytTom Dhaene

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

Prashant SinghIvo CouckuytKhairy ElsayedDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in APPLIED MATHEMATICAL MODELLING

Variance-based interaction index measuring heteroscedasticity

Keiichi ItoIvo CouckuytS PolesTom Dhaene

A1 Artikel in een tijdschrift in COMPUTER PHYSICS COMMUNICATIONS

2015

A fuzzy hybrid sequential design strategy for global surrogate modeling of high-dimensional computer experiments

Joachim van der HertenIvo CouckuytDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in SIAM JOURNAL ON SCIENTIFIC COMPUTING

A matlab toolbox for kriging metamodelling

Selvakumar UlaganathanIvo CouckuytDirk DeschrijverEric LaermansTom Dhaene

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

Joachim van der HertenIvo CouckuytDirk DeschrijverTom Dhaene

Cost-efficient modeling of antenna structures using Gradient Enhanced Kriging

Selvakumar UlaganathanS KozielA BekasiewiczIvo CouckuytEric LaermansTom Dhaene

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

Michael MehariEli De PoorterIvo CouckuytDirk DeschrijverJono Vanhie-Van GerwenDaan PareitTom DhaeneIngrid Moerman

A1 Artikel in een tijdschrift in AD HOC NETWORKS

Machine learning methods to predict delayed graft function after kidney transplantation

Alexander DecruyenaerePhilippe DecruyenaereFrank VermassenPatrick PeetersTom DhaeneIvo Couckuyt

Performance study of multi-fidelity gradient enhanced kriging

Selvakumar UlaganathanIvo CouckuytFrancesco FerrantiEric LaermansTom Dhaene

A1 Artikel in een tijdschrift in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

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

Alexander DecruyenaerePhilippe DecruyenaerePatrick PeetersFrank VermassenTom DhaeneIvo Couckuyt

A1 Artikel in een tijdschrift in BMC MEDICAL INFORMATICS AND DECISION MAKING

Predictive modeling of delayed graft function after kidney transplantation using machine learning methods

Alexander DecruyenaerePhilippe DecruyenaereFrank VermassenPatrick PeetersTom DhaeneIvo Couckuyt

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

Rein HouthooftJoeri RuyssinckJoachim van der HertenSean StijvenIvo CouckuytBram GadeyneFemke OngenaeKirsten ColpaertJohan DecruyenaereTom Dhaene et al.

A1 Artikel in een tijdschrift in ARTIFICIAL INTELLIGENCE IN MEDICINE

Variable-fidelity surrogate modelling with kriging

Selvakumar UlaganathanIvo CouckuytFrancesco FerrantiTom DhaeneEric Laermans

2014

A constrained multi-objective surrogate-based optimization algorithm

Prashant SinghIvo CouckuytFrancesco FerrantiTom Dhaene

Classification aided domain reduction for high dimensional optimization

Prashant SinghFrancesco FerrantiDirk DeschrijverIvo CouckuytTom Dhaene

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

Michael MehariEli De PoorterIvo CouckuytDirk DeschrijverJono Vanhie-Van GerwenTom DhaeneIngrid Moerman

Efficient multi-objective simulation-driven antenna design using Co-Kriging

Slawomir KozielAdrian BekasiewiczIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

Environmental electromagnetic characterization framework for wearable antenna materials

Frederick DeclercqSam AgneessensHendrik RogierIvo CouckuytTom Dhaene

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

Ivo CouckuytDirk DeschrijverTom Dhaene

A1 Artikel in een tijdschrift in JOURNAL OF GLOBAL OPTIMIZATION

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

B XuX WangTom DhaeneX ShiIvo CouckuytY BaiY Qiao

A1 Artikel in een tijdschrift in SPECTROSCOPY AND SPECTRAL ANALYSIS

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

S KozielS OgurtsovIvo CouckuytTom Dhaene

On the use of gradients in kriging surrogate models

Selvakumar UlaganathanIvo CouckuytTom DhaeneEric LaermansJoris Degroote

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

T ClaeysD PissoortDirk DeschrijverIvo CouckuytTom Dhaene

ooDACE toolbox: a flexible object-oriented Kriging implementation

Ivo CouckuytTom DhaenePiet Demeester

A1 Artikel in een tijdschrift in JOURNAL OF MACHINE LEARNING RESEARCH

2013

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

C GazdaDries Vande GinsteHendrik RogierIvo CouckuytTom DhaeneK StijnenH Pues

Efficient optimization of the integrity behavior of analog nonlinear devices using surrogate models

Celina GazdaDries Vande GinsteHendrik RogierIvo CouckuytTom DhaeneKristof StijnenHugo Pues

Environmental high frequency characterization of fabrics based on a novel surrogate modelling antenna technique

Frederick DeclercqIvo CouckuytHendrik RogierTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

Forward and inverse surrogate modeling of computationally expensive problems

Ivo CouckuytTom DhaeneFilip De Turck

Harmonic balance surrogate-based immunity modeling of a nonlinear analog circuit

C GazdaDries Vande GinsteHendrik RogierIvo CouckuytTom DhaeneK StijnenH Pues

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

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

Ivo CouckuytJef AernoutsDirk DeschrijverFilip De TurckTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

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

SL TeskeIvo CouckuytT SchildhauerS BiollazF Maréchal

Optimized sequential sampling algorithm for EMI near-field scanning

T DornéF VanheeT GrensonD PissoortDirk DeschrijverIvo CouckuytTom Dhaene

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

Slawomir KozielIvo CouckuytTom Dhaene

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

Slawomir KozielLeifur LeifssonIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

Robust variable-fidelity optimization of microwave filters using co-Kriging and trust regions

S KozielL LeifssonIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in MICROWAVE AND OPTICAL TECHNOLOGY LETTERS

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

Ivo CouckuytSlawomir KozielTom Dhaene

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS

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

Ivo CouckuytDirk GorissenKarel CrombecqDirk DeschrijverTom Dhaene

Variable-fidelity electromagnetic simulations and co-kriging for accurate modeling of antennas

S KozielS OgurtsovIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

2012

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

Slawomir KozielStanislav OgurtsovIvo CouckuytTom Dhaene

Blind Kriging: implementation and performance analysis

Ivo CouckuytA ForresterDirk GorissenFilip De TurckTom Dhaene

A1 Artikel in een tijdschrift in ADVANCES IN ENGINEERING SOFTWARE

Constrained multiobjective optimization of a common-mode suppression filter

Celina GazdaIvo CouckuytHendrik RogierDries Vande GinsteTom Dhaene

A1 Artikel in een tijdschrift in IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY

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

S KozielS OgurtsovIvo CouckuytTom Dhaene

A1 Artikel in een tijdschrift in IET MICROWAVES ANTENNAS & PROPAGATION

Efficient simulation-driven design optimization of antennas using co-kriging

Slawomir KozielStanislav OgurtsovIvo CouckuytTom Dhaene

Fast optimization of microwave filters using surrogate-based optimization methods

Krishnan Chemmangat Manakkal CheriyaDirk DeschrijverIvo CouckuytTom DhaeneLuc Knockaert

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

Joris DegrooteIvo CouckuytJan VierendeelsPatrick SegersTom Dhaene

A1 Artikel in een tijdschrift in STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Practical implementation of a sequential sampling algorithm for EMI near-field scanning

Bram Van der StreekFilip VanheeBart BoesmanDavy PissoortDirk DeschrijverIvo CouckuytTom Dhaene

Reliable low-cost co-kriging modeling of microwave devices

Slawomir KozielIvo CouckuytTom Dhaene

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

Kim GoethalsIvo CouckuytTom DhaeneArnold Janssens

A1 Artikel in een tijdschrift in BUILDING AND ENVIRONMENT

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

Kim GoethalsIvo CouckuytTom DhaeneArnold Janssens

Time domain analysis of a common-mode suppression filter subjected to a multi-objective optimization

Celina GazdaIvo CouckuytHendrik RogierDries Vande GinsteTom Dhaene

Towards efficient multiobjective optimization: multiobjective statistical criterions

Ivo CouckuytDirk DeschrijverTom Dhaene

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

Guillaume CrevecoeurAhmed Mohamed Abouelyazied AbdallhIvo CouckuytLuc DupréTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Variable-fidelity optimization of microwave filters using co-kriging and trust regions

Slawomir KozielIvo CouckuytTom Dhaene

2011

An alternative approach to avoid overfitting for surrogate models

Huu Minh NguyenIvo CouckuytLuc KnockaertTom DhaeneDirk GorissenYvan Saeys

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

Ivo CouckuytFilip De TurckTom DhaeneDirk Gorissen

Avoiding overfitting in surrogate modeling: an alternative approach

Huu Minh NguyenIvo CouckuytYvan SaeysLuc KnockaertTom DhaeneDirk Gorissen

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

Joris DegrooteIvo CouckuytJan VierendeelsPatrick SegersTom Dhaene

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

Ivo CouckuytSlawomir KozielTom Dhaene

2010

A surrogate modeling and adaptive sampling toolbox for computer based design

Dirk GorissenIvo CouckuytPiet DemeesterTom DhaeneKarel Crombecq

A1 Artikel in een tijdschrift in JOURNAL OF MACHINE LEARNING RESEARCH

Complex permittivity characterization of textile materials by means of surrogate modelling

F DeclercqIvo CouckuytHendrik RogierTom Dhaene

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

Jef AernoutsIvo CouckuytKarel CrombecqJoris JJ Dirckx

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Inverse surrogate modeling: output performance space sampling

Ivo CouckuytDirk GorissenTom Dhaene

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

Dirk GorissenIvo CouckuytEric LaermansTom Dhaene

A1 Artikel in een tijdschrift in ENGINEERING WITH COMPUTERS

Surrogate-based infill optimization applied to electromagnetic problems

Ivo CouckuytFrederick DeclercqTom DhaeneHendrik RogierLuc Knockaert

A1 Artikel in een tijdschrift in INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING

Surrogate-based modeling of electrical systems

Ivo CouckuytTom Dhaene

2009

A novel hybrid active learning strategy for nonlinear regression

Karel CrombecqIvo CouckuytEric LaermansTom Dhaene

Automated response surface model generation with sequential design

Ivo CouckuytK CrombecqDirk GorissenTom Dhaene

Automatic approximation of expensive functions with active learning

Dirk GorissenKarel CrombecqIvo CouckuytTom Dhaene

Hoofdstuk in een boek in Foundations of Computational Intelligence, volume 1 : learning and approximation

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

H RouhaniDirk GorissenIvo CouckuytJ Feyen

Evolutionary regression modeling with active learning: an application to rainfall runoff modeling

Ivo CouckuytDirk GorissenHamed RouhaniEric LaermansTom Dhaene

Pareto-based multi-output metamodeling with active learning

Dirk GorissenIvo CouckuytEric LaermansTom Dhaene

Pareto-based multi-output model type selection

Dirk GorissenIvo CouckuytKarel CrombecqTom Dhaene

Space-filling sequential design strategies for adaptive surrogate modelling

K CrombecqIvo CouckuytDirk GorissenTom Dhaene

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

Guillaume CrevecoeurAhmed Mohamed Abouelyazied AbdallhIvo CouckuytDirk GorissenLuc DupréTom Dhaene