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Peter Hellinckx
Peter Hellinckx
Verified email at uantwerpen.be - Homepage
Title
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Cited by
Year
A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data
T Bogaerts, AD Masegosa, JS Angarita-Zapata, E Onieva, P Hellinckx
Transportation Research Part C: Emerging Technologies 112, 62-77, 2020
4402020
TACLeBench: A benchmark collection to support worst-case execution time research
H Falk, S Altmeyer, P Hellinckx, B Lisper, W Puffitsch, C Rochange, ...
16th International Workshop on Worst-Case Execution Time Analysis, 2016
3102016
CNN-LSTM architecture for predictive indoor temperature modeling
F Elmaz, R Eyckerman, W Casteels, S Latré, P Hellinckx
Building and Environment 206, 108327, 2021
2682021
DDoS defense system for web services in a cloud environment
T Vissers, TS Somasundaram, L Pieters, K Govindarajan, P Hellinckx
Future Generation Computer Systems 37, 37-45, 2014
1042014
Survey of the DASH7 alliance protocol for 433 MHz wireless sensor communication
M Weyn, G Ergeerts, L Wante, C Vercauteren, P Hellinckx
International Journal of Distributed Sensor Networks 9 (12), 870430, 2013
942013
Automatic reverse engineering of CAN bus data using machine learning techniques
T Huybrechts, Y Vanommeslaeghe, D Blontrock, G Van Barel, P Hellinckx
International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2017
722017
Structured cognitive-motor dual task training compared to single mobility training in persons with multiple sclerosis, a multicenter RCT
R Veldkamp, I Baert, A Kalron, A Tacchino, M D’hooge, E Vanzeir, ...
Journal of clinical medicine 8 (12), 2177, 2019
642019
Responsiveness and meaningful improvement of mobility measures following MS rehabilitation
I Baert, T Smedal, A Kalron, K Rasova, A Heric-Mansrud, R Ehling, ...
Neurology 91 (20), e1880-e1892, 2018
582018
Runtime prediction based grid scheduling of parameter sweep jobs
S Verboven, P Hellinckx, F Arickx, J Broeckhove
2008 IEEE Asia-Pacific Services Computing Conference, 33-38, 2008
542008
Smart Highway: ITS-G5 and C2VX based testbed for vehicular communications in real environments enhanced by edge/cloud technologies
J Marquez-Barja, B Lannoo, D Naudts, B Braem, C Donato, ...
EuCNC2019, the European Conference on Networks and Communications, 2019
472019
Testing IoT systems using a hybrid simulation based testing approach
S Bosmans, S Mercelis, J Denil, P Hellinckx
Computing 101 (7), 857-872, 2019
382019
The 5H resonance structure studied with a three-cluster J-matrix model
J Broeckhove, F Arickx, P Hellinckx, VS Vasilevsky, AV Nesterov
Journal of Physics G: Nuclear and Particle Physics 34 (9), 1955, 2007
362007
A learn-to-rank approach for predicting road cycling race outcomes
L Kholkine, T Servotte, AW De Leeuw, T De Schepper, P Hellinckx, ...
Frontiers in sports and active living 3, 714107, 2021
322021
Distributed uniform streaming framework: an elastic fog computing platform for event stream processing and platform transparency
S Vanneste, J De Hoog, T Huybrechts, S Bosmans, R Eyckerman, ...
Future Internet 11 (7), 158, 2019
322019
Vehicular communication management framework: A flexible hybrid connectivity platform for CCAM services
D Naudts, V Maglogiannis, S Hadiwardoyo, D Van Den Akker, ...
Future Internet 13 (3), 81, 2021
312021
A new hybrid approach on WCET analysis for real-time systems using machine learning
T Huybrechts, S Mercelis, P Hellinckx
OASIcs: OpenAccess Series in Informatics.-Place of publication unknown, 5, 2018
312018
Sensors on vehicles (SENSOVO)–Proof-of-concept for road surface distress detection with wheel accelerations and ToF camera data collected by a fleet of ordinary vehicles
C Van Geem, M Bellen, B Bogaerts, B Beusen, B Berlémont, T Denys, ...
Transportation Research Procedia 14, 2966-2975, 2016
302016
Requirements and Specifications for the Orchestration of Network Intelligence in 6G
M Camelo, L Cominardi, M Gramaglia, M Fiore, A Garcia-Saavedra, ...
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022
292022
ATARI: A graph convolutional neural network approach for performance prediction in next-generation WLANs
P Soto, M Camelo, K Mets, F Wilhelmi, D Góez, LA Fletscher, N Gaviria, ...
Sensors 21 (13), 4321, 2021
282021
Designing resource-constrained neural networks using neural architecture search targeting embedded devices
A Cassimon, S Vanneste, S Bosmans, S Mercelis, P Hellinckx
Internet of Things 12, 100234, 2020
282020
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