| Using LSTM neural networks as resource utilization predictors: The case of training deep learning models on the edge J Violos, E Psomakelis, D Danopoulos, S Tsanakas, T Varvarigou Economics of Grids, Clouds, Systems, and Services: 17th International …, 2020 | 14 | 2020 |
| Predicting visitor distribution for large events in smart cities J Violos, S Pelekis, A Berdelis, S Tsanakas, K Tserpes, T Varvarigou 2019 ieee international conference on big data and smart computing (bigcomp …, 2019 | 13 | 2019 |
| Enabling artificial intelligent virtual sensors in an IoT environment G Stavropoulos, J Violos, S Tsanakas, A Leivadeas Sensors 23 (3), 1328, 2023 | 11 | 2023 |
| Intelligent horizontal autoscaling in edge computing using a double tower neural network J Violos, S Tsanakas, T Theodoropoulos, A Leivadeas, K Tserpes, ... Computer Networks 217, 109339, 2022 | 11 | 2022 |
| Next position prediction using LSTM neural networks J Violos, S Tsanakas, M Androutsopoulou, G Palaiokrassas, T Varvarigou 11th Hellenic Conference on Artificial Intelligence, 232-240, 2020 | 9 | 2020 |
| Predicting resource usage in edge computing infrastructures with CNN and a hybrid Bayesian particle swarm hyper-parameter optimization model J Violos, T Pagoulatou, S Tsanakas, K Tserpes, T Varvarigou Intelligent Computing: Proceedings of the 2021 Computing Conference, Volume …, 2021 | 8 | 2021 |
| Intelligent proactive fault tolerance at the edge through resource usage prediction T Theodoropoulos, J Violos, S Tsanakas, A Leivadeas, K Tserpes, ... arXiv preprint arXiv:2302.05336, 2023 | 7 | 2023 |
| Hypertuning GRU neural networks for edge resource usage prediction J Violos, S Tsanakas, T Theodoropoulos, A Leivadeas, K Tserpes, ... 2021 IEEE Symposium on Computers and Communications (ISCC), 1-8, 2021 | 7 | 2021 |
| An innovative neuro-genetic algorithm and geometric loss function for mobility prediction S Tsanakas, A Hameed, J Violos, A Leivadeas Proceedings of the 19th ACM International Symposium on Mobility Management …, 2021 | 3 | 2021 |
| A light-weight edge-enabled knowledge distillation technique for next location prediction of multitude transportation means S Tsanakas, A Hameed, J Violos, A Leivadeas Future Generation Computer Systems 154, 45-58, 2024 | 2 | 2024 |
