フォロー
Lorin Werthen-Brabants
Lorin Werthen-Brabants
その他の名前Lorin Werthen
Postdoctoral researcher, Ghent University - imec
確認したメール アドレス: ugent.be - ホームページ
タイトル
引用先
引用先
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
362022
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
112022
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
102022
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
62023
Ground truth extraction & transition analysis of DJ mixes
L Werthen-Brabants
Ghent University, Ghent, Belgium, 2018
42018
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
32022
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, ...
MedRXiv, 2022.09. 08.22279617, 2022
22022
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
22022
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
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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