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Axel Faes
Axel Faes
Postdoc Computational Neuroscience, KULeuven
Verified email at kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Concatenation, embedding and sharding: Do HTTP/1 performance best practices make sense in HTTP/2?
R Marx, P Quax, A Faes, W Lamotte
International Conference on Web Information Systems and Technologies 2, 160-173, 2017
82017
Household survival: immersive room-sized gaming using everyday objects as weapons
B Berghmans, A Faes, M Kaminski, K Todi
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016
52016
Source space reduction for eLORETA
A Faes, A de Borman, MM Van Hulle
Journal of Neural Engineering 18 (6), 066014, 2021
42021
Efficient Compilation of Algebraic Effects and Handlers. CW Reports. Department of Computer Science, KU Leuven; Leuven, Belgium
M Pretnar, AHS Saleh, A Faes, T Schrijvers
32017
Purpose-centric appropriation of everyday objects as game controllers
K Todi, D Degraen, B Berghmans, A Faes, M Kaminski, K Luyten
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016
32016
Single finger trajectory prediction from intracranial brain activity using block-term tensor regression with fast and automatic component extraction
A Faes, F Camarrone, MM Van Hulle
IEEE Transactions on Neural Networks and Learning Systems, 2022
22022
Neural Networks for Directed Connectivity Estimation in Source-Reconstructed EEG Data
A Faes, I Vantieghem, MM Van Hulle
Applied Sciences 12 (6), 2889, 2022
12022
Web Performance Characteristics of HTTP/2 and Comparison to HTTP/1.1
R Marx, M Wijnants, P Quax, A Faes, W Lamotte
Web Information Systems and Technologies: 13th International Conference …, 2018
12018
The role of distinct ECoG frequency features in decoding finger movement
EC Merino, A Faes, MM Van Hulle
Journal of Neural Engineering 20 (6), 066014, 2023
2023
Finger Movement Decoding: From Source-Localisation to Tensor Regression Modelling
A Faes
2023
Finger movement and coactivation predicted from intracranial brain activity using extended block-term tensor regression
A Faes, MM Van Hulle
Journal of Neural Engineering 19 (6), 066011, 2022
2022
Efficient compilation of algebraic effects and handlers
M Pretnar, AH Saleh, A Faes, T Schrijvers
CW reports, volume CW708, Department of Computer Science, KU Leuven, 2017
2017
Web Performance Characteristics of HTTP/2
R Marx, M Wijnants, P Quax, A Faes, W Lamotte
Towards a core language with row-based effects for optimised compilation
A Faes, T Schrijvers
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Articles 1–14