Tim Verbelen
Tim Verbelen
VERSES Research Lab
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Cited by
Cited by
A Survey on Distributed Machine Learning
J Verbraeken, M Wolting, J Katzy, J Kloppenburg, T Verbelen, ...
ACM Computing Surveys (CSUR) 53 (2), 1-33, 2020
Cloudlets: bringing the cloud to the mobile user
T Verbelen, P Simoens, F De Turck, B Dhoedt
Proceedings of the third ACM workshop on Mobile cloud computing and services …, 2012
AIOLOS: Middleware for improving mobile application performance through cyber foraging
T Verbelen, P Simoens, F De Turck, B Dhoedt
Journal of Systems and Software 85 (11), 2629-2639, 2012
Graph partitioning algorithms for optimizing software deployment in mobile cloud computing
T Verbelen, T Stevens, F De Turck, B Dhoedt
Future Generation Computer Systems 29 (2), 451-459, 2013
Leveraging cloudlets for immersive collaborative applications
T Verbelen, P Simoens, F De Turck, B Dhoedt
IEEE Pervasive Computing 12 (4), 30-38, 2013
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
X Steenbrugge, S Leroux, T Verbelen, B Dhoedt
arXiv preprint arXiv:1811.04784, 2018
The cascading neural network: building the Internet of Smart Things
S Leroux, S Bohez, E De Coninck, T Verbelen, B Vankeirsbilck, ...
Knowledge and Information Systems 52 (3), 791-814, 2017
Visualizing convolutional neural networks to improve decision support for skin lesion classification
P Van Molle, M De Strooper, T Verbelen, B Vankeirsbilck, P Simoens, ...
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
Dynamic deployment and quality adaptation for mobile augmented reality applications
T Verbelen, T Stevens, P Simoens, F De Turck, B Dhoedt
Journal of Systems and Software 84 (11), 1871-1882, 2011
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
P Mazzaglia, T Verbelen, O Çatal, B Dhoedt
Entropy 24 (2), 301, 2022
Robot navigation as hierarchical active inference
O Çatal, T Verbelen, T Van de Maele, B Dhoedt, A Safron
Neural Networks 142, 192-204, 2021
Mobile device power models for energy efficient dynamic offloading at runtime
FA Ali, P Simoens, T Verbelen, P Demeester, B Dhoedt
Journal of Systems and Software 113, 173-187, 2016
Distributed neural networks for Internet of Things: the Big-Little approach
E De Coninck, T Verbelen, B Vankeirsbilck, S Bohez, P Simoens, ...
Internet of Things. IoT Infrastructures: Second International Summit, IoT …, 2016
Adaptive deployment and configuration for mobile augmented reality in the cloudlet
T Verbelen, P Simoens, F De Turck, B Dhoedt
Journal of Network and Computer Applications 41, 206-216, 2014
Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds
E De Coninck, T Verbelen, B Vankeirsbilck, S Bohez, P Simoens, ...
Journal of Systems and Software 118, 101-114, 2016
Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets
S Bohez, T Verbelen, P Simoens, B Dhoedt
Simulation Modelling Practice and Theory 50, 109-129, 2015
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure
E De Coninck, S Bohez, S Leroux, T Verbelen, B Vankeirsbilck, ...
Journal of Systems and Software 141, 52-65, 2018
Learning generative state space models for active inference
O Çatal, S Wauthier, C De Boom, T Verbelen, B Dhoedt
Frontiers in Computational Neuroscience 14, 574372, 2020
Learning Perception and Planning With Deep Active Inference
O Çatal, T Verbelen, J Nauta, C De Boom, B Dhoedt
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Sensor fusion for robot control through deep reinforcement learning
S Bohez, T Verbelen, E De Coninck, B Vankeirsbilck, P Simoens, ...
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
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