Selection of lumped element models for coupled lossy transmission lines. - Tom Dhaene; Daniel De Zutter (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1992)

Circuitmodellering, transientsimulatie en tijdsdomein-karakterisatie van hoge-snelheids interconnectiestructuren - Tom Dhaene (1993)

Automated Fitting and Rational Modeling Algorithm for EM-Based S-Parameter Data. - Tom Dhaene (PARA, 2002)

Self-Organizing Compact Modeling Methodology for High-Speed Passive Electrical Interconnection Structures. - Tom Dhaene (International Conference on Computational Science, 2003)

A comparison between the java and c++ implementation of RMPP. - Wouter Hendrickx; Gunther Stuer; Jan Broeckhove; Tom Dhaene; David Dewolfs (IASTED Conf. on Software Engineering, 2004)

Adaptive Model Based Parameter Estimation, Based on Sparse Data and Frequency Derivatives. - Dirk Deschrijver; Tom Dhaene; Jan Broeckhove (International Conference on Computational Science, 2004)

Performance Characterisation and Verification of JavaSpaces Based on Design of Experiments. - Frederic Hancke; Tom Dhaene; Jan Broeckhove (MASCOTS, 2004)

A performance analysis framework for reso urce scavenging systems. - David Dewolfs; Gunther Stuer; Frederic Hancke; Peter Hellinckx; Jan Broeckhove; Frans Arickx; Tom Dhaene (Parallel and Distributed Computing and Networks, 2004)

Modelling Overhead of Tuple Spaces with Design of Experiments. - Frederic Hancke; Tom Dhaene; Jan Broeckhove (VECPAR, 2004)

Applicability of Generic Naming Services and Fault-Tolerant Metacomputing with FT-MPI. - David Dewolfs; Dawid Kurzyniec; Vaidy S. Sunderam; Jan Broeckhove; Tom Dhaene; Graham E. Fagg (PVM/MPI, 2005)

Moving Up to the Modeling Level for the Transformation of Data Structures in Embedded Multimedia Applications. - Marijn Temmerman; Edgar G. Daylight; Francky Catthoor; Serge Demeyer; Tom Dhaene (SAMOS, 2005)

Sequential design and rational metamodelling. - Wouter Hendrickx; Tom Dhaene (WSC, 2005)

Self-organizing multivariate constrained meta-modeling technique for passive microwave and RF components. - Tom Dhaene; Jan De Geest (Future Gener. Comput. Syst., 2005)

Variance analysis of frequency response function measurements using periodic excitations. - Tom D'haene; Rik Pintelon; Johan Schoukens; Els Van Gheem (IEEE Trans. Instrum. Meas., 2005)

Integrating Gridcomputing and Metamodeling. - Dirk Gorissen; Wouter Hendrickx; Karel Crombecq; Tom Dhaene (CCGRID, 2006)

Adaptive Distributed Metamodeling. - Dirk Gorissen; Karel Crombecq; Wouter Hendrickx; Tom Dhaene (VECPAR, 2006)

Grid enabled sequential design and adaptive metamodeling. - Wouter Hendrickx; Dirk Gorissen; Tom Dhaene (WSC, 2006)

Orthonormal bandlimited Kautz sequences for global system modeling from piecewise rational models. - Luc Knockaert; Tom Dhaene (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2006)

An Iterative Method to Stabilize a Transfer Function in the s - and z -Domains. - Tom D'haene; Rik Pintelon; Gerd Vandersteen (IEEE Trans. Instrum. Meas., 2006)

Adaptive Global Metamodeling with Neural Networks. - Dirk Gorissen; Wouter Hendrickx; Tom Dhaene (ESANN, 2007)

Optimizing data structures at the modeling level in embedded multimedia. - Marijn Temmerman; Edgar G. Daylight; Francky Catthoor; Serge Demeyer; Tom Dhaene (J. Syst. Archit., 2007)

Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling. - Dirk Gorissen; Luciano De Tommasi; Jeroen Croon; Tom Dhaene (IEEE Congress on Evolutionary Computation, 2008)

Ontology Based and Context-Aware Hospital Nurse Call Optimization. - Femke Ongenae; Matthias Strobbe; Jan Hollez; Gregory De Jans; Filip De Turck; Tom Dhaene; Piet Demeester; Piet Verhoeve (CISIS, 2008)

OTAGen: A Tunable Ontology Generator for Benchmarking Ontology-Based Agent Collaboration. - Femke Ongenae; Stijn Verstichel; Filip De Turck; Tom Dhaene; Bart Dhoedt; Piet Demeester (COMPSAC, 2008)

A comparison of sequential design methods for RF circuit block modeling. - Karel Crombecq; Luciano De Tommasi; Dirk Gorissen; Tom Dhaene (WSC, 2008)

Design of a semantic person-oriented nurse call management system. - Femke Ongenae; Matthias Strobbe; Jan Hollez; Gregory De Jans; Filip De Turck; Tom Dhaene; Piet Demeester; Piet Verhoeve (Int. J. Web Grid Serv., 2008)

Passivity Enforcement of Transfer Functions. - Tom D'haene; Rik Pintelon (IEEE Trans. Instrum. Meas., 2008)

Estimation and Validation of Semiparametric Dynamic Nonlinear Models. - Yves Rolain; Wendy Van Moer; Johan Schoukens; Tom Dhaene (IEEE Trans. Instrum. Meas., 2008)

Adaptive Interpolation Based on PÓlya Frequency Functions. - Luc Knockaert; Daniel De Zutter; Tom Dhaene (IEEE Trans. Signal Process., 2008)

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)

A Novel Sequential Design Strategy for Global Surrogate Modeling. - Karel Crombecq; Dirk Gorissen; Luciano De Tommasi; Tom Dhaene (WSC, 2009)

Evolutionary Model Type Selection for Global Surrogate Modeling. - Dirk Gorissen; Tom Dhaene; Filip De Turck (J. Mach. Learn. Res., 2009)

Magnitude Vector Fitting to interval data. - Wouter Hendrickx; Dirk Deschrijver; Luc Knockaert; Tom Dhaene (Math. Comput. Simul., 2009)

Sequential modeling of a low noise amplifier with neural networks and active learning. - Dirk Gorissen; Luciano De Tommasi; Karel Crombecq; Tom Dhaene (Neural Comput. Appl., 2009)

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

Design of a probabilistic ontology-based clinical decision support system for classifying temporal patterns in the ICU: A sepsis case study. - Femke Ongenae; Tom Dhaene; Filip De Turck; Dominique Benoit; Johan Decruyenaere (CBMS, 2010)

On the construction of guaranteed passive macromodels for high-speed channels. - Alessandro Chinea; Stefano Grivet-Talocia; Dirk Deschrijver; Tom Dhaene; Luc Knockaert (DATE, 2010)

Link State Protocol Data Mining for Shared Risk Link Group Detection. - Goutam Das; Dimitri Papadimitriou; Wouter Tavernier; Didier Colle; Tom Dhaene; Mario Pickavet; Piet Demeester (ICCCN, 2010)

Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods. - Karel Crombecq; Tom Dhaene (SEAL, 2010)

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)

Efficient space-filling and non-collapsing sequential design strategies for simulation-based modeling. - Karel Crombecq; Eric Laermans; Tom Dhaene (Eur. J. Oper. Res., 2011)

An autonomous service-platform to support distributed ontology-based context-aware agents. - Stijn Verstichel; Femke Ongenae; Bruno Volckaert; Filip De Turck; Bart Dhoedt; Tom Dhaene; Piet Demeester (Expert Syst. J. Knowl. Eng., 2011)

Model order reduction with preservation of passivity, non-expansivity and Markov moments. - Luc Knockaert; Tom Dhaene; Francesco Ferranti; Daniel De Zutter (Syst. Control. Lett., 2011)

A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments. - Karel Crombecq; Dirk Gorissen; Dirk Deschrijver; Tom Dhaene (SIAM J. Sci. Comput., 2011)

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

Robust Passivity Preserving Parametric Model Order Reduction Using Matrix Interpolation. - Elizabeth Rita Samuel; Francesco Ferranti; Luc Knockaert; Tom Dhaene (ROCOND, 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)

No-Reference Bitstream-Based Visual Quality Impairment Detection for High Definition H.264/AVC Encoded Video Sequences. - Nicolas Staelens; Glenn Van Wallendael; Karel Crombecq; Nick Vercammen; Jan De Cock; Brecht Vermeulen; Rik Van de Walle; Tom Dhaene; Piet Demeester (IEEE Trans. Broadcast., 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)

Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories. - Dimitri de Jonghe; Dirk Deschrijver; Tom Dhaene; Georges G. E. Gielen (DATE, 2013)

Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations. - Elizabeth Rita Samuel; Luc Knockaert; Tom Dhaene (ICINCO (1), 2013)

A balanced sequential design strategy for global surrogate modeling. - Prashant Singh; Dirk Deschrijver; Tom Dhaene (WSC, 2013)

Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks. - Femke Ongenae; Stijn Van Looy; David Verstraeten; Thierry Verplancke; Dominique Benoit; Filip De Turck; Tom Dhaene; Benjamin Schrauwen; Johan Decruyenaere (Eng. Appl. Artif. Intell., 2013)

A probabilistic ontology-based platform for self-learning context-aware healthcare applications. - Femke Ongenae; Maxim Claeys; Thomas Dupont; Wannes Kerckhove; Piet Verhoeve; Tom Dhaene; Filip De Turck (Expert Syst. Appl., 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 cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. - Steven Latré; Wim Van de Meerssche; Dirk Deschrijver; Dimitri Papadimitriou; Tom Dhaene; Filip De Turck (Int. J. Netw. Manag., 2013)

Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression. - Nicolas Staelens; Dirk Deschrijver; Ekaterina Vladislavleva; Brecht Vermeulen; Tom Dhaene; Piet Demeester (IEEE Trans. Circuits Syst. Video Technol., 2013)

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

Fuzzy local linear approximation-based sequential design. - Joachim van der Herten; Dirk Deschrijver; Tom Dhaene (CIES, 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)

Passivity Preserving Multipoint Model Order Reduction using Reflective Exploration. - Elizabeth Rita Samuel; Luc Knockaert; Tom Dhaene (ICINCO (1), 2014)

Complex Aggregates over Clusters of Elements. - Celine Vens; Sofie Van Gassen; Tom Dhaene; Yvan Saeys (ILP, 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)

A cognitive QoS management framework for WLANs. - Mostafa Pakparvar; David Plets; Emmeric Tanghe; Dirk Deschrijver; Wei Liu 019; Krishnan Chemmangat; Ingrid Moerman; Tom Dhaene; Luc Martens; Wout Joseph (EURASIP J. Wirel. Commun. Netw., 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)

Model Order Reduction of Time-Delay Systems Using a Laguerre Expansion Technique. - Elizabeth Rita Samuel; Luc Knockaert; Tom Dhaene (IEEE Trans. Circuits Syst. I Regul. Pap., 2014)

Throughput optimization strategies for large-scale wireless LANs. - Mostafa Pakparvar; David Plets; Jeroen Hoebeke; Dirk Deschrijver; Michael T. Mehari; Tom Dhaene; Ingrid Moerman; Luc Martens; Wout Joseph (BMSB, 2015)

Unsupervised Trajectory Inference Using Graph Mining. - Leen De Baets; Sofie Van Gassen; Tom Dhaene; Yvan Saeys (CIBB, 2015)

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

Throughput optimization of wireless LANs by surrogate model based cognitive decision making. - Mostafa Pakparvar; Krishnan Chemmangat; Dirk Deschrijver; Michael T. Mehari; David Plets; Tom Dhaene; Jeroen Hoebeke; Ingrid Moerman; Luc Martens; Wout Joseph (WCNC Workshops, 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)

Matrix-Interpolation-Based Parametric Model Order Reduction for Multiconductor Transmission Lines With Delays. - Elizabeth Rita Samuel; Luc Knockaert; Tom Dhaene (IEEE Trans. Circuits Syst. II Express Briefs, 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)

Machine Learning Challenges for Single Cell Data. - Sofie Van Gassen; Tom Dhaene; Yvan Saeys (ECML/PKDD (3), 2016)

Frequency-dependent parameterized macromodeling of integrated inductors. - Fábio Passos; Elisenda Roca; Rafael Castro-López; Francisco V. Fernández 001; Y. Ye; Domenico Spina; Tom Dhaene (SMACD, 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)

Netter: re-ranking gene network inference predictions using structural network properties. - Joeri Ruyssinck; Piet Demeester; Tom Dhaene; Yvan Saeys (BMC Bioinform., 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)

Positive blood culture detection in time series data using a BiLSTM network. - Leen De Baets; Joeri Ruyssinck; Thomas Peiffer; Johan Decruyenaere; Filip De Turck; Femke Ongenae; Tom Dhaene (CoRR, 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)

Handling imbalance in an extended PLAID. - Leen De Baets; Chris Develder; Tom Dhaene; Dirk Deschrijver; Jingkun Gao; Mario Berges (SustainIT, 2017)

Automated classification of appliances using elliptical fourier descriptors. - Leen De Baets; Chris Develder; Tom Dhaene; Dirk Deschrijver (SmartGridComm, 2017)

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)

Surrogate modeling based cognitive decision engine for optimization of WLAN performance. - David Plets; Krishnan Chemmangat; Dirk Deschrijver; Michael T. Mehari; Selvakumar Ulaganathan; Mostafa Pakparvar; Tom Dhaene; Jeroen Hoebeke; Ingrid Moerman; Emmeric Tanghe (Wirel. Networks, 2017)

Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. - Vincent Polfliet; Nicolas Knudde; Baptist Vandersmissen; Ivo Couckuyt; Tom Dhaene (EANN, 2018)

Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. - Tom Van Steenkiste; Willemijn Groenendaal; Joeri Ruyssinck; Pauline Dreesen; Susie Klerkx; Christophe Smeets; Ruben de Francisco; Dirk Deschrijver; Tom Dhaene (EMBC, 2018)

Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. - Tom Van Steenkiste; Joeri Ruyssinck; Olivier Janssens; Baptist Vandersmissen; Florian Vandecasteele; Pieter Devolder; Eric Achten; Sofie Van Hoecke; Dirk Deschrijver; Tom Dhaene (EMBC, 2018)

VI-Based Appliance Classification Using Aggregated Power Consumption Data. - Leen De Baets; Tom Dhaene; Dirk Deschrijver; Mario Berges; Chris Develder (SMARTCOMP, 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)

Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. - Rémi Delanghe; Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (BNAIC/BENELEARN, 2019)

A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. - Aren Maes; Tom Van Steenkiste; Tom Dhaene; Dirk Deschrijver (BNAIC/BENELEARN, 2019)

Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (BNAIC/BENELEARN, 2019)

Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (CBMS, 2019)

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

Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (ML4H@NeurIPS, 2019)

Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. - Jens Jocqué; Tom Van Steenkiste; Pieter Stroobant; Rémi Delanghe; Dirk Deschrijver; Tom Dhaene (WSC, 2019)

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. - Tom Van Steenkiste; Joeri Ruyssinck; Leen De Baets; Johan Decruyenaere; Filip De Turck; Femke Ongenae; Tom Dhaene (Artif. Intell. Medicine, 2019)

Generating an Explainable ECG Beat Space With Variational Auto-Encoders. - Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (CoRR, 2019)

ALBATROS: adaptive line-based sampling trajectories for sequential measurements. - Tom Van Steenkiste; Joachim van der Herten; Dirk Deschrijver; Tom Dhaene (Eng. Comput., 2019)

Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. - Tom Van Steenkiste; Willemijn Groenendaal; Dirk Deschrijver; Tom Dhaene (IEEE J. Biomed. Health Informatics, 2019)

Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. - Thomas Uyttenhove; Aren Maes; Tom Van Steenkiste; Dirk Deschrijver; Tom Dhaene (ML4H@NeurIPS, 2020)

Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. - Jixiang Qing; Nicolas Knudde; Ivo Couckuyt; Tom Dhaene; Kohei Shintani (WSC, 2020)

Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning. - Nicolas Knudde; Willem Raes; Jorik De Bruycker; Tom Dhaene; Nobby Stevens (IEEE Commun. Lett., 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)

Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. - Willem Raes; Nicolas Knudde; Jorik De Bruycker; Tom Dhaene; Nobby Stevens (Sensors, 2020)

Automated Framework for Time-Domain Piecewise-Linear Fitting Method Based on Digital Wave Processing of S-Parameters. - Piero Belforte; Domenico Spina; Luigi Lombardi; Giulio Antonini; Tom Dhaene (IEEE Trans. Circuits Syst. I Regul. Pap., 2020)

Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. - Tom Van Steenkiste; Willemijn Groenendaal; Pauline Dreesen; Seulki Lee; Susie Klerkx; Ruben de Francisco; Dirk Deschrijver; Tom Dhaene (IEEE J. Biomed. Health Informatics, 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)

On The Usage of Gaussian Processes for Visible Light Positioning With Real Radiation Patterns. - Willem Raes; Tom Dhaene; Nobby Stevens (ISWCS, 2021)

Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification. - Roberto Medico; Joeri Ruyssinck; Dirk Deschrijver; Tom Dhaene (Adv. Data Anal. Classif., 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)

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)

Machine Learning for RSS-Based Visible Light Positioning. - Willem Raes; Jorik De Bruycker; Nicolas Knudde; Tom Dhaene; Nobby Stevens (IEEE DataPort, 2022)

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

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

The Performance of RSS Based Visible Light Positioning Techniques under Different Uniformity Conditions. - Jorik De Bruycker; Tom Dhaene; Nobby Stevens (IPIN, 2023)

Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. - Thomas T. Kok; Willemijn Groenendaal; Dolores Blanco-Almazán; Lien Lijnen; Christophe Smeets; David Ruttens; John F. Morales; Tom Dhaene; Femke Ongenae; Sofie Van Hoecke; Dirk Deschrijver (KDH@IJCAI, 2023)

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

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)

TR-Based Antenna Design with Forward FD: The Effects of Step Size on the Optimization Performance. - Adrian Bekasiewicz; Slawomir Koziel; Tom Dhaene; Marcin Narloch (ICCS (3), 2024)

Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments. - Adrian Bekasiewicz; Vorya Waladi; Tom Dhaene; Bartosz Czaplewski (ICCS (3), 2024)

Improving Features for Multiple Sclerosis Disability Progression Prediction Through Temporal Alignment of Hospital Visits. - Karel Fonteyn; Tom Dhaene; Dirk Deschrijver (ICMLA, 2024)

ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals. - Lennert Bontinck; Karel Fonteyn; Tom Dhaene; Dirk Deschrijver (Expert Syst. Appl., 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)

The role of trustworthy and reliable AI for multiple sclerosis. - Lorin Werthen-Brabants; Tom Dhaene; Dirk Deschrijver (Frontiers Digit. Health, 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)

Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation Using Recursive Spiking Neural Networks. - Lorin Werthen-Brabants; Yolanda Castillo-Escario; Willemijn Groenendaal; Raimon Jané; Tom Dhaene; Dirk Deschrijver (IEEE Trans. Biomed. Eng., 2025)