| 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 | 1003 | 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 | 518 | 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 | 113 | 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 | 112 | 2013 |
| 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 | 86 | 2017 |
| Robot navigation as hierarchical active inference O Çatal, T Verbelen, T Van de Maele, B Dhoedt, A Safron Neural Networks 142, 192-204, 2021 | 85 | 2021 |
| The free energy principle for perception and action: A deep learning perspective P Mazzaglia, T Verbelen, O Catal, B Dhoedt Entropy 24 (2), 301, 2022 | 80 | 2022 |
| 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 | 79 | 2018 |
| Leveraging cloudlets for immersive collaborative applications T Verbelen, P Simoens, F De Turck, B Dhoedt IEEE Pervasive Computing 12 (4), 30-38, 2013 | 74 | 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 | 73 | 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 | 69 | 2011 |
| 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 | 62 | 2016 |
| 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 | 58 | 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 | 52 | 2014 |
| 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 | 50 | 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 | 46 | 2020 |
| Learning robots to grasp by demonstration E De Coninck, T Verbelen, P Van Molle, P Simoens, B Dhoedt Robotics and Autonomous Systems 127, 103474, 2020 | 46 | 2020 |
| 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 | 46 | 2016 |
| 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 | 42 | 2017 |
| 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 | 39 | 2018 |
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