| Patient activity recognition using radar sensors and machine learning G Bhavanasi, L Werthen-Brabants, T Dhaene, I Couckuyt Neural Computing and Applications 34 (18), 16033-16048, 2022 | 52 | 2022 |
| Split BiRNN for real-time activity recognition using radar and deep learning L Werthen-Brabants, G Bhavanasi, I Couckuyt, T Dhaene, D Deschrijver Scientific Reports 12 (1), 7436, 2022 | 17 | 2022 |
| Uncertainty quantification for appliance recognition in non-intrusive load monitoring using Bayesian deep learning L Werthen-Brabants, T Dhaene, D Deschrijver Energy and Buildings 270, 112282, 2022 | 12 | 2022 |
| Open-set patient activity recognition with radar sensors and deep learning G Bhavanasi, L Werthen-Brabants, T Dhaene, I Couckuyt IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 11 | 2023 |
| Ground truth extraction & transition analysis of DJ mixes L Werthen-Brabants Ghent University, Ghent, Belgium, 2018 | 7 | 2018 |
| Quantifying uncertainty in real time with split BiRNN for radar human activity recognition L Werthen-Brabants, G Bhavanasi, I Couckuyt, T Dhaene, D Deschrijver 2022 19th European Radar Conference (EuRAD), 173-176, 2022 | 5 | 2022 |
| Convolutional neural networks for Apnea detection from smartphone audio signals: effect of window size Y Castillo-Escario, L Werthen-Brabants, W Groenendaal, D Deschrijver, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study E De Brouwer, T Becker, L Werthen-Brabants, P Dewulf, D Iliadis, ... PLOS digital health 3 (7), e0000533, 2024 | 2 | 2024 |
| Data-Driven Surrogate Modeling for the Flammability Reduction System A Heidari, L Werthen-Brabants, T Dhaene, I Couckuyt, C Onur, P van Gils, ... AIAA SCITECH 2024 Forum, 0785, 2024 | 1 | 2024 |
| Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Progression in People with Multiple Sclerosis H Khan, HC Woodruff, DL Giraldo, L Werthen-Brabants, SA Mali, ... medRxiv, 2025.01. 23.25320971, 2025 | | 2025 |
| Deep Learning-Based Event Counting for Apnea-Hypopnea Index Estimation using Recursive Spiking Neural Networks L Werthen-Brabants, Y Castillo-Escario, W Groenendaal, R Jané, ... IEEE Transactions on Biomedical Engineering, 2024 | | 2024 |
| Optimizing Memory Footprint for Radar-Based Human Activity Recognition on Resource-Constrained Devices A Heidari, L Werthen-Brabants, T Dhaene, I Couckuyt 2024 21st European Radar Conference (EuRAD), 141-144, 2024 | | 2024 |
| Optimized Data Transmission for Radar-Based Edge-Cloud Human Activity Recognition via Quantization V Tuytte, A Heidari, L Werthen-Brabants, T Dhaene, I Couckuyt 2024 21st European Radar Conference (EuRAD), 145-148, 2024 | | 2024 |
| Towards Trustworthy Neural Networks for Certification by Analysis–Fuel Tank Flammability Reduction System P Van Gils, C Onur, I Jojic, A Heidari, S Rojas Gonzalez, ... FrontUQ2024, Workshop on Frontiers of Uncertainty Quantification, 2024 | | 2024 |
| Reliable assessment of uncertainty for appliance recognition in NILM using conformal prediction L Werthen‐Brabants, T Dhaene, D Deschrijver Electronics Letters 59 (18), e12860, 2023 | | 2023 |
| Quantifying Uncertainty and Improving Reliability of Time-Series Based Deep Learning Models L Werthen-Brabants Ghent University, 2023 | | 2023 |
| Tailoring Radar-Based Patient Monitoring Models to Real-Life Needs using Utility Maximization L Vincent-De Sloover, L Werthen-Brabants, G Bhavanasi, T Dhaene, ... 2022 19th European Radar Conference (EuRAD), 1-4, 2022 | | 2022 |
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