Tom Dhaene

Orcid: 0000-0003-2899-4636

According to our database1, Tom Dhaene authored at least 149 papers between 1992 and 2024.

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Bibliography

2024
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO.
CoRR, 2024

2023
A robust multi-objective Bayesian optimization framework considering input uncertainty.
J. Glob. Optim., July, 2023

Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions.
Eng. Comput., 2023

Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients.
Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023

The Performance of RSS Based Visible Light Positioning Techniques under Different Uniformity Conditions.
Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation, 2023

Cost-Aware Active Learning for Feasible Region Identification.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

PF<sup>2</sup>ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Machine Learning for RSS-Based Visible Light Positioning.
Dataset, May, 2022

Patient activity recognition using radar sensors and machine learning.
Neural Comput. Appl., 2022

PF<sup>2</sup>ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints.
CoRR, 2022

Finding Knees in Bayesian Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives.
Proceedings of the IECON 2022, 2022

Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty.
Proceedings of the International Conference on Machine Learning, 2022

2021
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity.
Knowl. Based Syst., 2021

Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification.
Adv. Data Anal. Classif., 2021

On The Usage of Gaussian Processes for Visible Light Positioning With Real Radiation Patterns.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

2020
Multi-objective Bayesian Optimization for Engineering Simulation.
Proceedings of the High-Performance Simulation-Based Optimization, 2020

Hierarchical Gaussian Process Models for Improved Metamodeling.
ACM Trans. Model. Comput. Simul., 2020

Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning.
IEEE J. Biomed. Health Informatics, 2020

Automated Framework for Time-Domain Piecewise-Linear Fitting Method Based on Digital Wave Processing of S-Parameters.
IEEE Trans. Circuits Syst. I Regul. Pap., 2020

Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning.
Sensors, 2020

Indoor human activity recognition using high-dimensional sensors and deep neural networks.
Neural Comput. Appl., 2020

Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning.
IEEE Commun. Lett., 2020

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization.
Proceedings of the Winter Simulation Conference, 2020

Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning.
Proceedings of the Machine Learning for Health Workshop, 2020

2019
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

ALBATROS: adaptive line-based sampling trajectories for sequential measurements.
Eng. Comput., 2019

Generating an Explainable ECG Beat Space With Variational Auto-Encoders.
CoRR, 2019

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks.
Artif. Intell. Medicine, 2019

Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments.
Proceedings of the 2019 Winter Simulation Conference, 2019

Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data.
Proceedings of the Machine Learning for Health Workshop, 2019

Active Learning for Feasible Region Discovery.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation.
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018
Indoor Person Identification Using a Low-Power FMCW Radar.
IEEE Trans. Geosci. Remote. Sens., 2018

VI-Based Appliance Classification Using Aggregated Power Consumption Data.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes.
Proceedings of the Engineering Applications of Neural Networks, 2018

2017
Surrogate modeling based cognitive decision engine for optimization of WLAN performance.
Wirel. Networks, 2017

Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models.
J. Optim. Theory Appl., 2017

A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications.
Eng. Comput., 2017

Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces.
Proceedings of the 2017 Winter Simulation Conference, 2017

Automated classification of appliances using elliptical fourier descriptors.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017

Handling imbalance in an extended PLAID.
Proceedings of the 2017 Sustainable Internet and ICT for Sustainability, 2017

2016
Building accurate radio environment maps from multi-fidelity spectrum sensing data.
Wirel. Networks, 2016

Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility.
IEEE Trans. Wirel. Commun., 2016

Performance study of gradient-enhanced Kriging.
Eng. Comput., 2016

A comparative study of kriging variants for the optimization of a turbomachinery system.
Eng. Comput., 2016

Variance-based interaction index measuring heteroscedasticity.
Comput. Phys. Commun., 2016

Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty.
CoRR, 2016

Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations.
CoRR, 2016

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes.
CoRR, 2016

Positive blood culture detection in time series data using a BiLSTM network.
CoRR, 2016

Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit.
Comput. Math. Methods Medicine, 2016

Netter: re-ranking gene network inference predictions using structural network properties.
BMC Bioinform., 2016

Design space exploration using Self-Organizing Map based adaptive sampling.
Appl. Soft Comput., 2016

Adaptive classification under computational budget constraints using sequential data gathering.
Adv. Eng. Softw., 2016

Sensitivity analysis of expensive black-box systems using metamodeling.
Proceedings of the Winter Simulation Conference, 2016

Frequency-dependent parameterized macromodeling of integrated inductors.
Proceedings of the 13th International Conference on Synthesis, 2016

Machine Learning Challenges for Single Cell Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A hybrid sequential sampling based metamodelling approach for high dimensional problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Matrix-Interpolation-Based Parametric Model Order Reduction for Multiconductor Transmission Lines With Delays.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments.
SIAM J. Sci. Comput., 2015

Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods.
BMC Medical Informatics Decis. Mak., 2015

Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.
Artif. Intell. Medicine, 2015

Efficient global optimization of multi-parameter network problems on wireless testbeds.
Ad Hoc Networks, 2015

Constructing classifiers of expensive simulation-based data by sequential experimental design.
Proceedings of the 2015 Winter Simulation Conference, 2015

Throughput optimization of wireless LANs by surrogate model based cognitive decision making.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference Workshops, 2015

A Matlab Toolbox for Kriging Metamodelling.
Proceedings of the International Conference on Computational Science, 2015

Unsupervised Trajectory Inference Using Graph Mining.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015

Throughput optimization strategies for large-scale wireless LANs.
Proceedings of the 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2015

2014
Model Order Reduction of Time-Delay Systems Using a Laguerre Expansion Technique.
IEEE Trans. Circuits Syst. I Regul. Pap., 2014

ooDACE toolbox: a flexible object-oriented Kriging implementation.
J. Mach. Learn. Res., 2014

Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization.
J. Glob. Optim., 2014

A cognitive QoS management framework for WLANs.
EURASIP J. Wirel. Commun. Netw., 2014

On the use of gradients in kriging surrogate models.
Proceedings of the 2014 Winter Simulation Conference, 2014

Classification aided domain reduction for high dimensional optimization.
Proceedings of the 2014 Winter Simulation Conference, 2014

Complex Aggregates over Clusters of Elements.
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Passivity Preserving Multipoint Model Order Reduction using Reflective Exploration.
Proceedings of the ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Vienna, Austria, 1, 2014

Efficient multi-objective optimization of wireless network problems on wireless testbeds.
Proceedings of the 10th International Conference on Network and Service Management, 2014

Fuzzy local linear approximation-based sequential design.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

A constrained multi-objective surrogate-based optimization algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression.
IEEE Trans. Circuits Syst. Video Technol., 2013

A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks.
Int. J. Netw. Manag., 2013

Identification of quasi-optimal regions in the design space using surrogate modeling.
Eng. Comput., 2013

A probabilistic ontology-based platform for self-learning context-aware healthcare applications.
Expert Syst. Appl., 2013

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks.
Eng. Appl. Artif. Intell., 2013

A balanced sequential design strategy for global surrogate modeling.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations.
Proceedings of the ICINCO 2013 - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics, Volume 1, Reykjavík, Iceland, 29, 2013

Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories.
Proceedings of the Design, Automation and Test in Europe, 2013

The SUMO toolbox: A tool for automatic regression modeling and active learning.
Proceedings of the AFRICON 2013, Pointe aux Piments, Mauritius, September 9-12, 2013, 2013

2012
No-Reference Bitstream-Based Visual Quality Impairment Detection for High Definition H.264/AVC Encoded Video Sequences.
IEEE Trans. Broadcast., 2012

Two-level refined direct optimization scheme using intermediate surrogate models for electromagnetic optimization of a switched reluctance motor.
Eng. Comput., 2012

Blind Kriging: Implementation and performance analysis.
Adv. Eng. Softw., 2012

Robust Passivity Preserving Parametric Model Order Reduction Using Matrix Interpolation.
Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012

Towards Efficient Multiobjective Optimization: Multiobjective statistical criterions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments.
SIAM J. Sci. Comput., 2011

Model order reduction with preservation of passivity, non-expansivity and Markov moments.
Syst. Control. Lett., 2011

An autonomous service-platform to support distributed ontology-based context-aware agents.
Expert Syst. J. Knowl. Eng., 2011

Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling.
Eur. J. Oper. Res., 2011

An alternative approach to avoid overfitting for surrogate models.
Proceedings of the Winter Simulation Conference 2011, 2011

Automatic surrogate model type selection during the optimization of expensive black-box problems.
Proceedings of the Winter Simulation Conference 2011, 2011

2010
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design.
J. Mach. Learn. Res., 2010

Multiobjective global surrogate modeling, dealing with the 5-percent problem.
Eng. Comput., 2010

Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

Link State Protocol Data Mining for Shared Risk Link Group Detection.
Proceedings of the 19th International Conference on Computer Communications and Networks, 2010

On the construction of guaranteed passive macromodels for high-speed channels.
Proceedings of the Design, Automation and Test in Europe, 2010

Design of a probabilistic ontology-based clinical decision support system for classifying temporal patterns in the ICU: A sepsis case study.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009
Automatic Approximation of Expensive Functions with Active Learning.
Proceedings of the Foundations of Computational Intelligence, 2009

Sequential modeling of a low noise amplifier with neural networks and active learning.
Neural Comput. Appl., 2009

Magnitude Vector Fitting to interval data.
Math. Comput. Simul., 2009

Evolutionary Model Type Selection for Global Surrogate Modeling.
J. Mach. Learn. Res., 2009

A Novel Sequential Design Strategy for Global Surrogate Modeling.
Proceedings of the 2009 Winter Simulation Conference, 2009

Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Pareto-Based Multi-output Model Type Selection.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Pareto-Based Multi-output Metamodeling with Active Learning.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Adaptive Interpolation Based on PÓlya Frequency Functions.
IEEE Trans. Signal Process., 2008

Estimation and Validation of Semiparametric Dynamic Nonlinear Models.
IEEE Trans. Instrum. Meas., 2008

Passivity Enforcement of Transfer Functions.
IEEE Trans. Instrum. Meas., 2008

Design of a semantic person-oriented nurse call management system.
Int. J. Web Grid Serv., 2008

A comparison of sequential design methods for RF circuit block modeling.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

OTAGen: A Tunable Ontology Generator for Benchmarking Ontology-Based Agent Collaboration.
Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, 2008

Ontology Based and Context-Aware Hospital Nurse Call Optimization.
Proceedings of the Second International Conference on Complex, 2008

Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Optimizing data structures at the modeling level in embedded multimedia.
J. Syst. Archit., 2007

Adaptive Global Metamodeling with Neural Networks.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
An Iterative Method to Stabilize a Transfer Function in the s - and z -Domains.
IEEE Trans. Instrum. Meas., 2006

Orthonormal bandlimited Kautz sequences for global system modeling from piecewise rational models.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006

Grid enabled sequential design and adaptive metamodeling.
Proceedings of the Winter Simulation Conference WSC 2006, 2006

Adaptive Distributed Metamodeling.
Proceedings of the High Performance Computing for Computational Science, 2006

Integrating Gridcomputing and Metamodeling.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006

2005
Variance analysis of frequency response function measurements using periodic excitations.
IEEE Trans. Instrum. Meas., 2005

Self-organizing multivariate constrained meta-modeling technique for passive microwave and RF components.
Future Gener. Comput. Syst., 2005

Sequential design and rational metamodelling.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

Moving Up to the Modeling Level for the Transformation of Data Structures in Embedded Multimedia Applications.
Proceedings of the Embedded Computer Systems: Architectures, 2005

Applicability of Generic Naming Services and Fault-Tolerant Metacomputing with FT-MPI.
Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 2005

2004
Modelling Overhead of Tuple Spaces with Design of Experiments.
Proceedings of the High Performance Computing for Computational Science, 2004

A performance analysis framework for reso urce scavenging systems.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2004

Performance Characterisation and Verification of JavaSpaces Based on Design of Experiments.
Proceedings of the 12th International Workshop on Modeling, 2004

Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives.
Proceedings of the Computational Science, 2004

A comparison between the java and c++ implementation of RMPP.
Proceedings of the IASTED International Conference on Software Engineering, 2004

2003
Self-Organizing Compact Modeling Methodology for High-Speed Passive Electrical Interconnection Structures.
Proceedings of the Computational Science - ICCS 2003, 2003

2002
Automated Fitting and Rational Modeling Algorithm for EM-Based S-Parameter Data.
Proceedings of the Applied Parallel Computing Advanced Scientific Computing, 2002

1993
Circuitmodellering, transientsimulatie en tijdsdomein-karakterisatie van hoge-snelheids interconnectiestructuren
PhD thesis, 1993

1992
Selection of lumped element models for coupled lossy transmission lines.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1992


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