E-LIB Suche - Ergebnisse für: Deschrijver, Dirk

1

ECGencode: Compact and computationally efficient deep learn..:

Bontinck, Lennert ; Fonteyn, Karel ; Dhaene, Tom.
Expert Systems with Applications. 255 (2024) - p. 124775 , 2024

Link: https://doi.org/10.1016/..

2

Machine-learning-based prediction of disability progression..:

De Brouwer, Edward ; Becker, Thijs ; Werthen-Brabants, Lorin...
PLOS Digital Health. 3 (2024) 7 - p. e0000533 , 2024

Link: https://doi.org/10.1371/..

3

On the Role of Bayesian Learning for Electronic Design Auto..:

Garbuglia, Federico ; Deschrijver, Dirk ; Dhaene, Tom
IEEE Electromagnetic Compatibility Magazine. 12 (2023) 4 - p. 77-84 , 2023

Link: https://doi.org/10.1109/..

4

Reliable assessment of uncertainty for appliance recognitio..:

Werthen‐Brabants, Lorin ; Dhaene, Tom ; Deschrijver, Dirk
Electronics Letters. 59 (2023) 18 - p. , 2023

Link: https://doi.org/10.1049/..

5

Wideband Complex Vector Fitting for Modeling Time Delay Var..:

, In: 2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),

Ullrick, Thijs ; Deschrijver, Dirk ; Bogaerts, Wim. - p. 1-3 , 2023

Link: https://doi.org/10.1109/..

6

Modeling S-parameters of Interconnects using Periodic Gauss..:

, In: 2023 IEEE 27th Workshop on Signal and Power Integrity (SPI),

Garbuglia, Federico ; Spina, Domenico ; Reuschel, Torsten... - p. 1-4 , 2023

Link: https://doi.org/10.1109/..

7

Bayesian Optimization for Microwave Devices Using Deep GP S..:

Garbuglia, Federico ; Spina, Domenico ; Deschrijver, Dirk..
IEEE Transactions on Microwave Theory and Techniques. 71 (2023) 6 - p. 2311-2318 , 2023

Link: https://doi.org/10.1109/..

8

Split BiRNN for real-time activity recognition using radar ..:

Werthen-Brabants, Lorin ; Bhavanasi, Geethika ; Couckuyt, Ivo..
Scientific Reports. 12 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

9

A Semi-Supervised Approach with Monotonic Constraints for I..:

Nieves Avendano, Diego ; Vandermoortele, Nathan ; Soete, Colin...
Sensors. 22 (2022) 4 - p. 1590 , 2022

Link: https://doi.org/10.3390/..

10

Convolutional Neural Networks for Apnea Detection from Smar..:

, In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC),

Castillo-Escario, Yolanda ; Werthen-Brabants, Lorin ; Groenendaal, Willemijn.. - p. 666-669 , 2022

Link: https://doi.org/10.1109/..

11

Bayesian Active Learning for Received Signal Strength-Based..:

Garbuglia, Federico ; Raes, Willem ; De Bruycker, Jorik...
IEEE Photonics Journal. 14 (2022) 6 - p. 1-8 , 2022

Link: https://doi.org/10.1109/..

12

S-parameter Modeling and Optimization using Deep Gaussian P..:

, In: 2022 24th International Microwave and Radar Conference (MIKON),

Garbuglia, Federico ; Spina, Domenico ; Deschrijver, Dirk.. - p. 1-3 , 2022

Link: https://doi.org/10.23919..

13

Uncertainty quantification for appliance recognition in non..:

Werthen-Brabants, Lorin ; Dhaene, Tom ; Deschrijver, Dirk
Energy and Buildings. 270 (2022) - p. 112282 , 2022

Link: https://doi.org/10.1016/..

14

Quantifying Uncertainty in Real Time with Split BiRNN for R..:

, In: 2022 19th European Radar Conference (EuRAD),

Werthen-Brabants, Lorin ; Bhavanasi, Geethika ; Couckuyt, Ivo.. - p. 173-176 , 2022

Link: https://doi.org/10.23919..

15

Bayesian active learning for multi‐objective feasible regio..:

Garbuglia, Federico ; Qing, Jixiang ; Knudde, Nicolas...
Electronics Letters. 57 (2021) 10 - p. 400-403 , 2021

Link: https://doi.org/10.1049/..