Researcher
Tom Dhaene
- Keywords:design optimization, surrogate modeling, data-efficient machine learning
- Disciplines:Machine learning and decision making, Modelling and simulation, Computer-aided design, Electromagnetism and antenna technology, Antennas and propagation, Health informatics
Affiliations
- Department of Information technology (Department)
Member
From1 Jan 1993 → Today
Projects
1 - 10 of 19
- Bayesian Active Learning for EMI Near-Field Emission Characterization of High-Speed ElectronicsFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- Machine Learning and Radar Sensors for Monitoring Patients and Elderly People in HealthcareFrom1 Feb 2023 → 30 Sep 2023Funding: BOF - doctoral mandates
- Generative design of linear passive electronic systemsFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Learning complex patterns with Gaussian processesFrom1 Jan 2019 → 31 Dec 2022Funding: FWO research project (including WEAVE projects)
- Incorporating error control in sparse modellingFrom1 Jan 2016 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- Development of machine learning techniques for flow cytometry dataFrom1 Jan 2014 → 31 Dec 2017Funding: IWT personal funding - specialisation scholarships
- Fast and Reliable Assessment of Electromagnetic Field Exposure using Sequential Sampling, Surrogate Modeling and OptimizationFrom1 Jan 2014 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- High-dimensional and stochastic macromodeling of parameterized high-speed systemsFrom1 Oct 2013 → 30 Sep 2016Funding: BOF - Other initiatives, FWO fellowships
- Versatile surrogate-based optimization of medium-scale and large-scale problems.From1 Oct 2013 → 30 Sep 2019Funding: FWO fellowships, BOF - Other initiatives
- Accurate parameterized macromodels for efficient designFrom1 Jan 2013 → 31 Dec 2018Funding: FWO research project (including WEAVE projects)
Publications
41 - 50 of 430
- Statistical modeling of frequency responses using linear Bayesian vector fitting(2020)
Authors: Simon De Ridder, Dirk Deschrijver, Domenico Spina, Dries Vande Ginste, Tom Dhaene
- Experimental evaluation of machine learning methods for robust received signal strength-based visible light positioning(2020)
Authors: Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
- Interpretable epilepsy detection in routine, interictal EEG data using deep learning(2020)Volume: 136
Authors: Thomas Uyttenhove, Aren Maes, Tom Van Steenkiste, Dirk Deschrijver, Tom Dhaene
Pages: 355 - 366 - Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning(2020)
Authors: Tom Van Steenkiste, Willemijn Groenendaal, Pauline Dreesen, Seulki Lee, Susie Klerkx, Ruben de Francisco, Dirk Deschrijver, Tom Dhaene
Pages: 2589 - 2598 - Hierarchical Gaussian process models for improved metamodeling(2020)
Authors: Nicolas Knudde, Vincent Dutordoir, Joachim van der Herten, Ivo Couckuyt, Tom Dhaene
- Compact representations of microstructure images using triplet networks(2020)
Authors: Michiel Larmuseau, Michael Sluydts, Koenraad Theuwissen, Tom Dhaene, Stefaan Cottenier
- Evaluation of generative modeling techniques for frequency responses(2020)Volume: 3
Authors: Federico Garbuglia, Domenico Spina, Dirk Deschrijver, Tom Dhaene
Number of pages: 1 - Batch Bayesian active learning for feasible region identification by local penalization(2020)
Authors: Jixiang Qing, Nicolas Knudde, Ivo Couckuyt, Tom Dhaene, Kohei Shintani
Pages: 2779 - 2790 - Indoor human activity recognition using high-dimensional sensors and deep neural networks(2020)
Authors: Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
Pages: 12295 - 12309 - Machine learning-based hybrid random-fuzzy modeling framework for antenna design(2020)
Authors: Duygu De Witte, Simon De Ridder, Domenico Spina, Ivo Couckuyt, Flavia Grassi, Tom Dhaene, Hendrik Rogier, Dries Vande Ginste
Number of pages: 1