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2020 – today
- 2024
[j66]Lennert Bontinck
, Karel Fonteyn, Tom Dhaene, Dirk Deschrijver:
ECGencode: Compact and computationally efficient deep learning feature encoder for ECG signals. Expert Syst. Appl. 255: 124775 (2024)- [j65]Nasrulloh R. B. S. Loka, Mohamed Ibrahim, Ivo Couckuyt, Inneke Van Nieuwenhuyse, Tom Dhaene:
Cheap-expensive multi-objective Bayesian optimization for permanent magnet synchronous motor design. Eng. Comput. 40(4): 2143-2159 (2024) - [c82]Jorik De Bruycker, Michiel De Wilde, Federico Garbuglia, Ioana Nikova, Ivo Couckuyt, Tom Dhaene, Nobby Stevens:
Evaluation of Machine Learning Models for Received Signal Strength Based Visible Light Positioning with Obstacles. CSNDSP 2024: 318-323 - [c81]Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Lower Confidence Bound for Preference Selection in Interactive Multi-Objective Optimization. GECCO Companion 2024: 339-342 - [c80]Adrian Bekasiewicz, Mariusz Dzwonkowski, Tom Dhaene, Ivo Couckuyt:
Specification-Oriented Automatic Design of Topologically Agnostic Antenna Structure. ICCS (3) 2024: 11-18 - [c79]Adrian Bekasiewicz, Vorya Waladi, Tom Dhaene, Bartosz Czaplewski:
Accurate Post-processing of Spatially-Separated Antenna Measurements Realized in Non-Anechoic Environments. ICCS (3) 2024: 19-27 - [c78]Adrian Bekasiewicz, Slawomir Koziel, Tom Dhaene, Marcin Narloch:
TR-Based Antenna Design with Forward FD: The Effects of Step Size on the Optimization Performance. ICCS (3) 2024: 28-36 - [c77]Adrian Bekasiewicz, Tom Dhaene, Ivo Couckuyt, Jacek Andrzej Litka:
Miniaturization-Oriented Design of Spline-Parameterized UWB Antenna for In-Door Positioning Applications. ICCS (3) 2024: 37-45 - [i10]Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Data-Efficient Interactive Multi-Objective Optimization Using ParEGO. CoRR abs/2401.06649 (2024) - 2023
- [j64]Nasrulloh R. B. S. Loka, Ivo Couckuyt, Federico Garbuglia, Domenico Spina, Inneke Van Nieuwenhuyse, Tom Dhaene:
Bi-objective Bayesian optimization of engineering problems with cheap and expensive cost functions. Eng. Comput. 39(3): 1923-1933 (2023) - [j63]Jixiang Qing, Ivo Couckuyt, Tom Dhaene:
A robust multi-objective Bayesian optimization framework considering input uncertainty. J. Glob. Optim. 86(3): 693-711 (2023) - [j62]Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt:
Open-Set Patient Activity Recognition With Radar Sensors and Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [c76]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization. AISTATS 2023: 2565-2588 - [c75]Ioana Nikova, Tom Dhaene, Ivo Couckuyt:
Cost-Aware Active Learning for Feasible Region Identification. GECCO Companion 2023: 2286-2288 - [c74]Jorik De Bruycker, Tom Dhaene, Nobby Stevens:
The Performance of RSS Based Visible Light Positioning Techniques under Different Uniformity Conditions. IPIN 2023: 1-5 - [c73]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:
Comparator Model for Detecting Changes in the Ease of Breathing of COPD Patients. KDH@IJCAI 2023 - [c72]Arash Heidari, Sebastian Rojas-Gonzalez, Tom Dhaene, Ivo Couckuyt:
Data-Efficient Interactive Multi-objective Optimization Using ParEGO. PKDD/ECML Workshops (3) 2023: 519-526 - 2022
- [j61]Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt:
Patient activity recognition using radar sensors and machine learning. Neural Comput. Appl. 34(18): 16033-16048 (2022) - [c71]Jixiang Qing, Tom Dhaene, Ivo Couckuyt:
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty. ICML 2022: 18096-18121 - [c70]Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt:
Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives. IECON 2022: 1-6 - [c69]Arash Heidari, Jixiang Qing, Sebastian Rojas-Gonzalez, Jürgen Branke, Tom Dhaene, Ivo Couckuyt:
Finding Knees in Bayesian Multi-objective Optimization. PPSN (1) 2022: 104-117 - [d1]Willem Raes, Jorik De Bruycker, Nicolas Knudde, Tom Dhaene, Nobby Stevens:
Machine Learning for RSS-Based Visible Light Positioning. IEEE DataPort, 2022
- [i9]Jixiang Qing, Ivo Couckuyt, Tom Dhaene:
A Robust Multi-Objective Bayesian Optimization Framework Considering Input Uncertainty. CoRR abs/2202.12848 (2022) - [i8]Jixiang Qing, Henry B. Moss, Tom Dhaene, Ivo Couckuyt:
PF2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints. CoRR abs/2204.05411 (2022) - 2021
- [j60]Roberto Medico, Joeri Ruyssinck, Dirk Deschrijver, Tom Dhaene:
Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification. Adv. Data Anal. Classif. 15(4): 911-936 (2021) - [j59]Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, Tom Dhaene:
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity. Knowl. Based Syst. 227: 107151 (2021) - [c68]Willem Raes, Tom Dhaene, Nobby Stevens:
On The Usage of Gaussian Processes for Visible Light Positioning With Real Radiation Patterns. ISWCS 2021: 1-6 - 2020
- [j58]Nicolas Knudde, Willem Raes, Jorik De Bruycker, Tom Dhaene, Nobby Stevens:
Data-Efficient Gaussian Process Regression for Accurate Visible Light Positioning. IEEE Commun. Lett. 24(8): 1705-1709 (2020) - [j57]Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve:
Indoor human activity recognition using high-dimensional sensors and deep neural networks. Neural Comput. Appl. 32(16): 12295-12309 (2020) - [j56]Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, Nobby Stevens:
Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning. Sensors 20(21): 6109 (2020) - [j55]Piero Belforte, Domenico Spina, Luigi Lombardi, Giulio Antonini, Tom Dhaene:
Automated Framework for Time-Domain Piecewise-Linear Fitting Method Based on Digital Wave Processing of S-Parameters. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(1): 235-248 (2020) - [j54]Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene:
Portable Detection of Apnea and Hypopnea Events Using Bio-Impedance of the Chest and Deep Learning. IEEE J. Biomed. Health Informatics 24(9): 2589-2598 (2020) - [j53]Nicolas Knudde, Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Hierarchical Gaussian Process Models for Improved Metamodeling. ACM Trans. Model. Comput. Simul. 30(4): 23:1-23:17 (2020) - [c67]Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Interpretable Epilepsy Detection in Routine, Interictal EEG Data using Deep Learning. ML4H@NeurIPS 2020: 355-366 - [c66]Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani:
Batch Bayesian Active Learning For Feasible Region Identification by Local Penalization. WSC 2020: 2779-2790 - [p2]Joachim van der Herten, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene:
Multi-objective Bayesian Optimization for Engineering Simulation. High-Performance Simulation-Based Optimization 2020: 47-68
2010 – 2019
- 2019
- [j52]Tom Van Steenkiste, Joeri Ruyssinck, Leen De Baets, Johan Decruyenaere, Filip De Turck, Femke Ongenae, Tom Dhaene:
Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks. Artif. Intell. Medicine 97: 38-43 (2019) - [j51]Tom Van Steenkiste, Joachim van der Herten, Dirk Deschrijver, Tom Dhaene:
ALBATROS: adaptive line-based sampling trajectories for sequential measurements. Eng. Comput. 35(2): 537-550 (2019) - [j50]Tom Van Steenkiste, Willemijn Groenendaal, Dirk Deschrijver, Tom Dhaene:
Automated Sleep Apnea Detection in Raw Respiratory Signals Using Long Short-Term Memory Neural Networks. IEEE J. Biomed. Health Informatics 23(6): 2354-2364 (2019) - [c65]Rémi Delanghe, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Continuous Exploitative Measurement Trajectories Using Bayesian Optimisation. BNAIC/BENELEARN 2019 - [c64]Aren Maes, Tom Van Steenkiste, Tom Dhaene, Dirk Deschrijver:
A Study of Early Sepsis Detection Models Based on Multivariate Medical Time Series. BNAIC/BENELEARN 2019 - [c63]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Disentangled Variational Auto-Encoders for Explaining ECG Beat Embeddings. BNAIC/BENELEARN 2019 - [c62]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Interpretable ECG Beat Embedding using Disentangled Variational Auto-Encoders. CBMS 2019: 373-378 - [c61]Nicolas Knudde, Ivo Couckuyt, Kohei Shintani, Tom Dhaene:
Active Learning for Feasible Region Discovery. ICMLA 2019: 567-572 - [c60]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. ML4H@NeurIPS 2019: 112-125 - [c59]Jens Jocqué, Tom Van Steenkiste, Pieter Stroobant, Rémi Delanghe, Dirk Deschrijver, Tom Dhaene:
Learning To Forget: Design of Experiments for Line-Based Bayesian Optimization in Dynamic Environments. WSC 2019: 656-667 - [i7]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Generating an Explainable ECG Beat Space With Variational Auto-Encoders. CoRR abs/1911.04898 (2019) - [i6]Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene:
Sensor Fusion using Backward Shortcut Connections for Sleep Apnea Detection in Multi-Modal Data. CoRR abs/1912.06879 (2019) - 2018
- [j49]Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, André Bourdoux, Wesley De Neve, Tom Dhaene:
Indoor Person Identification Using a Low-Power FMCW Radar. IEEE Trans. Geosci. Remote. Sens. 56(7): 3941-3952 (2018) - [c58]Vincent Polfliet, Nicolas Knudde, Baptist Vandersmissen, Ivo Couckuyt, Tom Dhaene:
Structured Inference Networks Using High-Dimensional Sensors for Surveillance Purposes. EANN 2018: 16-27 - [c57]Tom Van Steenkiste, Willemijn Groenendaal, Joeri Ruyssinck, Pauline Dreesen, Susie Klerkx, Christophe Smeets, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene:
Systematic Comparison of Respiratory Signals for the Automated Detection of Sleep Apnea. EMBC 2018: 449-452 - [c56]Tom Van Steenkiste, Joeri Ruyssinck, Olivier Janssens, Baptist Vandersmissen, Florian Vandecasteele, Pieter Devolder, Eric Achten, Sofie Van Hoecke, Dirk Deschrijver, Tom Dhaene:
Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression. EMBC 2018: 674-677 - [c55]Leen De Baets, Tom Dhaene, Dirk Deschrijver, Mario Berges, Chris Develder:
VI-Based Appliance Classification Using Aggregated Power Consumption Data. SMARTCOMP 2018: 179-186 - 2017
- [j48]Arun Kaintura, Domenico Spina, Ivo Couckuyt, Luc Knockaert, Wim Bogaerts, Tom Dhaene:
A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications. Eng. Comput. 33(4): 935-949 (2017) - [j47]Prashant Singh, Ivo Couckuyt, Khairy Elsayed, Dirk Deschrijver, Tom Dhaene:
Multi-objective Geometry Optimization of a Gas Cyclone Using Triple-Fidelity Co-Kriging Surrogate Models. J. Optim. Theory Appl. 175(1): 172-193 (2017) - [j46]David Plets, Krishnan Chemmangat, Dirk Deschrijver, Michael T. Mehari, Selvakumar Ulaganathan, Mostafa Pakparvar, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman, Emmeric Tanghe:
Surrogate modeling based cognitive decision engine for optimization of WLAN performance. Wirel. Networks 23(8): 2347-2359 (2017) - [c54]Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver, Jingkun Gao, Mario Berges:
Handling imbalance in an extended PLAID. SustainIT 2017: 32-36 - [c53]Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver:
Automated classification of appliances using elliptical fourier descriptors. SmartGridComm 2017: 153-158 - [c52]Vincent Dutordoir, Nicolas Knudde, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces. WSC 2017: 1728-1739 - [i5]Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Sensitivity Analysis of Expensive Black-Box Systems Using Metamodeling. CoRR abs/1702.00650 (2017) - 2016
- [j45]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Adaptive classification under computational budget constraints using sequential data gathering. Adv. Eng. Softw. 99: 137-146 (2016) - [j44]Keiichi Ito, Ivo Couckuyt, Roberto D'Ippolito, Tom Dhaene:
Design space exploration using Self-Organizing Map based adaptive sampling. Appl. Soft Comput. 43: 337-346 (2016) - [j43]Joeri Ruyssinck, Piet Demeester, Tom Dhaene, Yvan Saeys:
Netter: re-ranking gene network inference predictions using structural network properties. BMC Bioinform. 17: 76 (2016) - [j42]Joeri Ruyssinck, Joachim van der Herten, Rein Houthooft, Femke Ongenae, Ivo Couckuyt, Bram Gadeyne, Kirsten Colpaert, Johan Decruyenaere, Filip De Turck, Tom Dhaene:
Random Survival Forests for Predicting the Bed Occupancy in the Intensive Care Unit. Comput. Math. Methods Medicine 2016: 7087053:1-7087053:7 (2016) - [j41]Keiichi Ito, Ivo Couckuyt, Silvia Poles, Tom Dhaene:
Variance-based interaction index measuring heteroscedasticity. Comput. Phys. Commun. 203: 152-161 (2016) - [j40]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Joris Degroote, Eric Laermans:
Performance study of gradient-enhanced Kriging. Eng. Comput. 32(1): 15-34 (2016) - [j39]Sayed Ahmed Imran Bellary, Abdus Samad, Ivo Couckuyt, Tom Dhaene:
A comparative study of kriging variants for the optimization of a turbomachinery system. Eng. Comput. 32(1): 49-59 (2016) - [j38]Michael Tetemke Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Günter Vermeeren, David Plets, Wout Joseph, Luc Martens, Tom Dhaene, Ingrid Moerman:
Efficient Identification of a Multi-Objective Pareto Front on a Wireless Experimentation Facility. IEEE Trans. Wirel. Commun. 15(10): 6662-6675 (2016) - [j37]Selvakumar Ulaganathan, Dirk Deschrijver, Mostafa Pakparvar, Ivo Couckuyt, Wei Liu, David Plets, Wout Joseph, Tom Dhaene, Luc Martens, Ingrid Moerman:
Building accurate radio environment maps from multi-fidelity spectrum sensing data. Wirel. Networks 22(8): 2551-2562 (2016) - [c51]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Multi-objective variable subset selection using heterogeneous surrogate modeling and sequential design. CEC 2016: 1634-1641 - [c50]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote:
A hybrid sequential sampling based metamodelling approach for high dimensional problems. CEC 2016: 1917-1923 - [c49]Sofie Van Gassen, Tom Dhaene, Yvan Saeys:
Machine Learning Challenges for Single Cell Data. ECML/PKDD (3) 2016: 275-279 - [c48]Fábio Passos, Elisenda Roca, Rafael Castro-López, Francisco V. Fernández, Y. Ye, Domenico Spina, Tom Dhaene:
Frequency-dependent parameterized macromodeling of integrated inductors. SMACD 2016: 1-4 - [c47]Tom Van Steenkiste, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Sensitivity analysis of expensive black-box systems using metamodeling. WSC 2016: 578-589 - [i4]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Fast Calculation of the Knowledge Gradient for Optimization of Deterministic Engineering Simulations. CoRR abs/1608.04550 (2016) - [i3]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Active Learning for Approximation of Expensive Functions with Normal Distributed Output Uncertainty. CoRR abs/1608.05225 (2016) - [i2]Joachim van der Herten, Ivo Couckuyt, Tom Dhaene:
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes. CoRR abs/1612.00393 (2016) - [i1]Leen De Baets, Joeri Ruyssinck, Thomas Peiffer, Johan Decruyenaere, Filip De Turck, Femke Ongenae, Tom Dhaene:
Positive blood culture detection in time series data using a BiLSTM network. CoRR abs/1612.00962 (2016) - 2015
- [j36]Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Daan Pareit, Tom Dhaene, Ingrid Moerman:
Efficient global optimization of multi-parameter network problems on wireless testbeds. Ad Hoc Networks 29: 15-31 (2015) - [j35]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:
Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores. Artif. Intell. Medicine 63(3): 191-207 (2015) - [j34]Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene, Ivo Couckuyt:
Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods. BMC Medical Informatics Decis. Mak. 15: 83 (2015) - [j33]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
A Fuzzy Hybrid Sequential Design Strategy for Global Surrogate Modeling of High-Dimensional Computer Experiments. SIAM J. Sci. Comput. 37(2) (2015) - [j32]Elizabeth Rita Samuel, Luc Knockaert, Tom Dhaene:
Matrix-Interpolation-Based Parametric Model Order Reduction for Multiconductor Transmission Lines With Delays. IEEE Trans. Circuits Syst. II Express Briefs 62-II(3): 276-280 (2015) - [c46]Mostafa Pakparvar, David Plets, Jeroen Hoebeke, Dirk Deschrijver, Michael T. Mehari, Tom Dhaene, Ingrid Moerman, Luc Martens, Wout Joseph:
Throughput optimization strategies for large-scale wireless LANs. BMSB 2015: 1-6 - [c45]Leen De Baets, Sofie Van Gassen, Tom Dhaene, Yvan Saeys:
Unsupervised Trajectory Inference Using Graph Mining. CIBB 2015: 84-97 - [c44]Selvakumar Ulaganathan, Ivo Couckuyt, Dirk Deschrijver, Eric Laermans, Tom Dhaene:
A Matlab Toolbox for Kriging Metamodelling. ICCS 2015: 2708-2713 - [c43]Mostafa Pakparvar, Krishnan Chemmangat, Dirk Deschrijver, Michael T. Mehari, David Plets, Tom Dhaene, Jeroen Hoebeke, Ingrid Moerman, Luc Martens, Wout Joseph:
Throughput optimization of wireless LANs by surrogate model based cognitive decision making. WCNC Workshops 2015: 188-193 - [c42]Joachim van der Herten, Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Constructing classifiers of expensive simulation-based data by sequential experimental design. WSC 2015: 3166-3167 - 2014
- [j31]Mostafa Pakparvar, David Plets, Emmeric Tanghe, Dirk Deschrijver, Wei Liu, Krishnan Chemmangat, Ingrid Moerman, Tom Dhaene, Luc Martens, Wout Joseph:
A cognitive QoS management framework for WLANs. EURASIP J. Wirel. Commun. Netw. 2014: 191 (2014) - [j30]Ivo Couckuyt, Dirk Deschrijver, Tom Dhaene:
Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization. J. Glob. Optim. 60(3): 575-594 (2014) - [j29]Ivo Couckuyt, Tom Dhaene, Piet Demeester:
ooDACE toolbox: a flexible object-oriented Kriging implementation. J. Mach. Learn. Res. 15(1): 3183-3186 (2014) - [j28]Elizabeth Rita Samuel, Luc Knockaert, Tom Dhaene:
Model Order Reduction of Time-Delay Systems Using a Laguerre Expansion Technique. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(6): 1815-1823 (2014) - [c41]Prashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene:
A constrained multi-objective surrogate-based optimization algorithm. IEEE Congress on Evolutionary Computation 2014: 3080-3087 - [c40]Joachim van der Herten, Dirk Deschrijver, Tom Dhaene:
Fuzzy local linear approximation-based sequential design. CIES 2014: 17-21 - [c39]Michael T. Mehari, Eli De Poorter, Ivo Couckuyt, Dirk Deschrijver, Jono Vanhie-Van Gerwen, Tom Dhaene, Ingrid Moerman:
Efficient multi-objective optimization of wireless network problems on wireless testbeds. CNSM 2014: 212-217 - [c38]Elizabeth Rita Samuel, Luc Knockaert, Tom Dhaene:
Passivity Preserving Multipoint Model Order Reduction using Reflective Exploration. ICINCO (1) 2014: 483-491 - [c37]Celine Vens, Sofie Van Gassen, Tom Dhaene, Yvan Saeys:
Complex Aggregates over Clusters of Elements. ILP 2014: 181-193 - [c36]Selvakumar Ulaganathan, Ivo Couckuyt, Tom Dhaene, Eric Laermans, Joris Degroote:
On the use of gradients in kriging surrogate models. WSC 2014: 2692-2701 - [c35]Prashant Singh, Francesco Ferranti, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene:
Classification aided domain reduction for high dimensional optimization. WSC 2014: 3928-3939 - 2013
- [j27]Femke Ongenae, Stijn Van Looy, David Verstraeten, Thierry Verplancke, Dominique Benoit, Filip De Turck, Tom Dhaene, Benjamin Schrauwen, Johan Decruyenaere:
Time series classification for the prediction of dialysis in critically ill patients using echo statenetworks. Eng. Appl. Artif. Intell. 26(3): 984-996 (2013) - [j26]Femke Ongenae, Maxim Claeys, Thomas Dupont, Wannes Kerckhove, Piet Verhoeve, Tom Dhaene, Filip De Turck:
A probabilistic ontology-based platform for self-learning context-aware healthcare applications. Expert Syst. Appl. 40(18): 7629-7646 (2013) - [j25]Ivo Couckuyt, Jef Aernouts, Dirk Deschrijver, Filip De Turck, Tom Dhaene:
Identification of quasi-optimal regions in the design space using surrogate modeling. Eng. Comput. 29(2): 127-138 (2013) - [j24]Steven Latré, Wim Van de Meerssche, Dirk Deschrijver, Dimitri Papadimitriou, Tom Dhaene, Filip De Turck:
A cognitive accountability mechanism for penalizing misbehaving ECN-based TCP stacks. Int. J. Netw. Manag. 23(1): 16-40 (2013) - [j23]Nicolas Staelens, Dirk Deschrijver, Ekaterina Vladislavleva, Brecht Vermeulen, Tom Dhaene, Piet Demeester:
Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression. IEEE Trans. Circuits Syst. Video Technol. 23(8): 1322-1333 (2013) - [c34]Ivo Couckuyt, Dirk Gorissen, Karel Crombecq, Dirk Deschrijver, Tom Dhaene:
The SUMO toolbox: A tool for automatic regression modeling and active learning. AFRICON 2013: 1-4 - [c33]Dimitri de Jonghe, Dirk Deschrijver, Tom Dhaene, Georges G. E. Gielen:
Extracting analytical nonlinear models from analog circuits by recursive vector fitting of transfer function trajectories. DATE 2013: 1448-1453 - [c32]Elizabeth Rita Samuel, Luc Knockaert, Tom Dhaene:
Parametric Macromodeling using Interpolation of Sylvester based State-space Realizations. ICINCO (1) 2013: 319-325 - [c31]