Researcher
Dirk Deschrijver
- Keywords:Machine Learning
- Disciplines:Machine learning and decision making, Modelling and simulation, Computer-aided design
Affiliations
- Department of Information technology (Department)
Member
From1 Nov 2007 → Today
Projects
1 - 3 of 3
- Machine Learning-based solutions for the prediction of acute COPD exacerbationsFrom14 Oct 2023 → 13 Feb 2024Funding: BOF - doctoral mandates
- Automated Patient Trajectory Prediction of Atrial Fibrillation and other Heart Arrhythmias using Machine Learning on the Standard 12-Lead ECG.From1 Oct 2023 → TodayFunding: BOF - doctoral mandates
- Robuste techniques for multivariate surrogate modelingFrom1 Oct 2008 → 30 Sep 2014Funding: BOF - Other initiatives, FWO fellowships
Publications
1 - 10 of 166
- Modeling S-parameters of interconnects using periodic Gaussian process kernels(2023)
Authors: Federico Garbuglia, Domenico Spina, Torsten Reuschel, Christian Schuster, Dirk Deschrijver, Tom Dhaene
Number of pages: 1 - Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction(2023)
Authors: Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver
- Bayesian optimization for microwave devices using deep GP spectral surrogate models(2023)
Authors: Federico Garbuglia, Domenico Spina, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
Pages: 2311 - 2318 - Modeling electrically long interconnects using physics-informed delayed gaussian processes(2023)
Authors: Federico Garbuglia, Torsten Reuschel, Christian Schuster, Dirk Deschrijver, Tom Dhaene, Domenico Spina
Pages: 1715 - 1723 - Wideband complex vector fitting for modeling time delay variations in passive photonic filters(2023)
Authors: Thijs Ullrick, Dirk Deschrijver, Wim Bogaerts, Tom Dhaene
Number of pages: 1 - Comparator model for detecting changes in the ease of breathing of COPD patients(2023)Volume: 3479
Authors: Thomas Kok, W. Groenendaal, S. Blanco-Almazan, L. Lijnen, C. Smeets, D. Ruttens, J. Morales, Tom Dhaene, Femke Ongenae, Sofie Van Hoecke, et al.
Number of pages: 1 - A semi-supervised approach with monotonic constraints for improved remaining useful life estimation(2022)
Authors: Diego Nieves Avendano, Nathan Vandemoortele, Colin Soete, Pieter Moens, Agusmian Partogi Ompusunggu, Dirk Deschrijver, Sofie Van Hoecke
- S-parameter modeling and optimization using deep Gaussian processes(2022)
Authors: Federico Garbuglia, Domenico Spina, Dirk Deschrijver, Ivo Couckuyt, Tom Dhaene
Number of pages: 1 - Convolutional neural networks for apnea detection from smartphone audio signals : effect of window size(2022)
Authors: Yolanda Castillo-Escario, Lorin Werthen-Brabants, Willemijn Groenendaal, Dirk Deschrijver, Raimon Jane
Pages: 666 - 669 - Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning(2022)
Authors: Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver