Tom Dhaene
Orcid: 0000-0003-2899-4636
According to our database1,
Tom Dhaene
authored at least 158 papers
between 1992 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design.
Eng. Comput., August, 2024
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals.
Expert Syst. Appl., 2024
Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments.
Proceedings of the Computational Science - ICCS 2024, 2024
TR-Based Antenna Design with Forward FD: The Effects of Step Size on the Optimization Performance.
Proceedings of the Computational Science - ICCS 2024, 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications.
Proceedings of the Computational Science - ICCS 2024, 2024
Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles.
Proceedings of the 14th International Symposium on Communication Systems, 2024
2023
A robust multi-objective Bayesian optimization framework considering input uncertainty.
J. Glob. Optim., July, 2023
IEEE Geosci. Remote. Sens. Lett., 2023
Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions.
Eng. Comput., 2023
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
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
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
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
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
Proceedings of the High-Performance Simulation-Based Optimization, 2020
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
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
Eng. Comput., 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
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019
2018
IEEE Trans. Geosci. Remote. Sens., 2018
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
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017
Proceedings of the 2017 Sustainable Internet and ICT for Sustainability, 2017
2016
Wirel. Networks, 2016
Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility.
IEEE Trans. Wirel. Commun., 2016
A comparative study of kriging variants for the optimization of a turbomachinery system.
Eng. Comput., 2016
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
CoRR, 2016
CoRR, 2016
Comput. Math. Methods Medicine, 2016
Netter: re-ranking gene network inference predictions using structural network properties.
BMC Bioinform., 2016
Appl. Soft Comput., 2016
Adaptive classification under computational budget constraints using sequential data gathering.
Adv. Eng. Softw., 2016
Proceedings of the Winter Simulation Conference, 2016
Proceedings of the 13th International Conference on Synthesis, 2016
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
Proceedings of the International Conference on Computational Science, 2015
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015
Proceedings of the 2015 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2015
2014
IEEE Trans. Circuits Syst. I Regul. Pap., 2014
J. Mach. Learn. Res., 2014
Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization.
J. Glob. Optim., 2014
EURASIP J. Wirel. Commun. Netw., 2014
Proceedings of the 2014 Winter Simulation Conference, 2014
Proceedings of the 2014 Winter Simulation Conference, 2014
Proceedings of the Inductive Logic Programming - 24th International Conference, 2014
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
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014
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
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
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
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
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
J. Mach. Learn. Res., 2010
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
Proceedings of the 19th International Conference on Computer Communications and Networks, 2010
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
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
J. Mach. Learn. Res., 2009
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
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Proceedings of the Engineering Applications of Neural Networks, 2009
2008
IEEE Trans. Signal Process., 2008
IEEE Trans. Instrum. Meas., 2008
Int. J. Web Grid Serv., 2008
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
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
J. Syst. Archit., 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
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
Proceedings of the Winter Simulation Conference WSC 2006, 2006
Proceedings of the High Performance Computing for Computational Science, 2006
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
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
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
Proceedings of the Applied Parallel Computing Advanced Scientific Computing, 2002
1993
Circuitmodellering, transientsimulatie en tijdsdomein-karakterisatie van hoge-snelheids interconnectiestructuren
PhD thesis, 1993
1992
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1992