Published in Neural Computing and Applications, 2022
Recommended citation: Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, "Patient activity recognition using radar sensors and machine learning." Neural Computing and Applications, 2022.
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Published in Scientific Reports, 2022
Recommended citation: Lorin Werthen-Brabants, Geethika Bhavanasi, Ivo Couckuyt, Tom Dhaene, Dirk Deschrijver, "Split BiRNN for real-time activity recognition using radar and deep learning." Scientific Reports, 2022.
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Published in Energy and Buildings, 2022
Recommended citation: Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver, "Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning." Energy and Buildings, 2022.
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Published in the proceedings of 2022 44th Annual International Conference of the IEEE Engineering in Medicine &$mathsemicolon$ Biology Society (EMBC), 2022
Recommended citation: Yolanda Castillo-Escario, Lorin Werthen-Brabants, Willemijn Groenendaal, Dirk Deschrijver, Raimon Jane, "Convolutional Neural Networks for Apnea Detection from Smartphone Audio Signals: Effect of Window Size." In the proceedings of 2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp$mathsemicolon$ Biology Society (EMBC), 2022.
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Published in the proceedings of 2022 19th European Radar Conference (EuRAD), 2022
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Recommended citation: Lorin Werthen-Brabants, Geethika Bhavanasi, Ivo Couckuyt, Tom Dhaene, Dirk Deschrijver, "Quantifying Uncertainty in Real Time with Split BiRNN for Radar Human Activity Recognition." In the proceedings of 2022 19th European Radar Conference (EuRAD), 2022.
Published in the proceedings of 2022 19th European Radar Conference (EuRAD), 2022
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Recommended citation: Louis Sloover, Lorin Werthen-Brabants, Geethika Bhavanasi, Tom Dhaene, Ivo Couckuyt, "Tailoring Radar-Based Patient Monitoring Models to Real-Life Needs using Utility Maximization." In the proceedings of 2022 19th European Radar Conference (EuRAD), 2022.
Published in IEEE Geoscience and Remote Sensing Letters, 2023
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Recommended citation: Geethika Bhavanasi, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, "Open-set patient activity recognition with radar sensors and deep learning." IEEE Geoscience and Remote Sensing Letters, 2023.
Published in Electronics Letters, 2023
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Recommended citation: Lorin Werthen-Brabants, Tom Dhaene, Dirk Deschrijver, "Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction." Electronics Letters, 2023.
Published in the proceedings of AIAA SCITECH 2024 Forum, 2024
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Recommended citation: Arash Heidari, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, Can Onur, Pieter Gils, Ivana Jojic, "Data-Driven Surrogate Modeling for the Flammability Reduction System." In the proceedings of AIAA SCITECH 2024 Forum, 2024.
Published in PLOS Digital Health, 2024
Recommended citation: Edward De, Thijs Becker, Lorin Werthen-Brabants, Pieter Dewulf, Dimitrios Iliadis, Cathérine Dekeyser, Guy Laureys, Bart Van, Veronica Popescu, Tom Dhaene, Dirk Deschrijver, Willem Waegeman, Bernard De, Michiel Stock, Dana Horakova, Francesco Patti, Guillermo Izquierdo, Sara Eichau, Marc Girard, Alexandre Prat, Alessandra Lugaresi, Pierre Grammond, Tomas Kalincik, Raed Alroughani, Francois Grand’Maison, Olga Skibina, Murat Terzi, Jeannette Lechner-Scott, Oliver Gerlach, Samia Khoury, Elisabetta Cartechini, Vincent Van, Maria Sà, Bianca Weinstock-Guttman, Yolanda Blanco, Radek Ampapa, Daniele Spitaleri, Claudio Solaro, Davide Maimone, Aysun Soysal, Gerardo Iuliano, Riadh Gouider, Tamara Castillo-Triviño, José Sánchez-Menoyo, Guy Laureys, Anneke Walt, Jiwon Oh, Eduardo Aguera-Morales, Ayse Altintas, Abdullah Al-Asmi, Koen Gans, Yara Fragoso, Tunde Csepany, Suzanne Hodgkinson, Norma Deri, Talal Al-Harbi, Bruce Taylor, Orla Gray, Patrice Lalive, Csilla Rozsa, Chris McGuigan, Allan Kermode, Angel Sempere, Simu Mihaela, Magdolna Simo, Todd Hardy, Danny Decoo, Stella Hughes, Nikolaos Grigoriadis, Attila Sas, Norbert Vella, Yves Moreau, Liesbet Peeters, "Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study." PLOS Digital Health, 2024.
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Published in the proceedings of FrontUQ2024, Workshop on Frontiers of Uncertainty Quantification, 2024
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Recommended citation: P Van, C Onur, I Jojic, Arash Heidari, Sebastian Rojas, Lorin Werthen-Brabants, Ivo Couckuyt, "Towards Trustworthy Neural Networks for Certification by Analysis--Fuel Tank Flammability Reduction System." In the proceedings of FrontUQ2024, Workshop on Frontiers of Uncertainty Quantification, 2024.
Published in the proceedings of 2024 21st European Radar Conference (EuRAD), 2024
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Recommended citation: Victor Tuytte, Arash Heidari, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, "Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization." In the proceedings of 2024 21st European Radar Conference (EuRAD), 2024.
Published in the proceedings of 2024 21st European Radar Conference (EuRAD), 2024
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Recommended citation: Arash Heidari, Lorin Werthen-Brabants, Tom Dhaene, Ivo Couckuyt, "Optimizing Memory Footprint for Radar-Based Human Activity Recognition on Resource-Constrained Devices." In the proceedings of 2024 21st European Radar Conference (EuRAD), 2024.
Published in IEEE Transactions on Biomedical Engineering, 2024
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Recommended citation: Lorin Werthen-Brabants, Yolanda Castillo-Escario, Willemijn Groenendaal, Raimon Jan{\'e}, Tom Dhaene, Dirk Deschrijver, "Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation using Recursive Spiking Neural Networks." IEEE Transactions on Biomedical Engineering, 2024.
Undergraduate course, Ghent University, Department of Computer Science, 2019
His responsibilities included leading lab sessions, providing one-on-one mentoring, and troubleshooting technical issues.