 | Up a level |
Zhao, Zhongliang; Emami, Negar; Santos, Hugo; Pacheco, Lucas; Karimzadeh, Mostafa; Braun, Torsten; Braud, Arnaud; Radier, Benoit; Tamagnan, Philippe (2022). Reinforced-LSTM Trajectory Prediction-driven Dynamic Service Migration: A Case Study. Transactions on Network Science and Engineering, 9(4), pp. 2786-2802. IEEE 10.1109/TNSE.2022.3169786
Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). FedForce: Network-adaptive Federated Learning for Reinforced Mobility Prediction. In: The 48th IEEE Conference on Local Computer Networks (LCN) (pp. 1-9). IEEE Xplore: IEEE 10.1109/LCN58197.2023.10223407
Emami, Negar; Di Maio, Antonio; Braun, Torsten (2023). GTP-Force: Game-Theoretic Trajectory Prediction through Distributed Reinforcement Learning. In: The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS 2023). IEEE Xplore: IEEE
Emami, Negar; Di Maio, Antonio; Braun, Torsten (15 November 2022). INTRAFORCE: Intra-Cluster Reinforced Social Transformer for Trajectory Prediction. In: 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2022) (pp. 333-338). IEEE Xplore: IEEE 10.1109/WiMob55322.2022.9941547
Emami, Negar; Pacheco, Lucas; Di Maio, Antonio; Braun, Torsten (9 June 2022). RC-TL: Reinforcement Convolutional Transfer Learning for Large-scale Trajectory Prediction. In: IEEE/IFIP Network Operations and Management Symposium (NOMS 2022) (pp. 1-9). IEEE Xplore: IEEE 10.1109/NOMS54207.2022.9789883
Emami, Negar; Braun, Torsten (23 April 2021). Reinforcement-supported Artificial Neural Network-based Trajectory Prediction (Unpublished). In: Bern Data Science Day 2021. Bern, Switzerland. 23. April 2021.
Emami, Negar; Braun, Torsten (6 May 2022). Attention-based Neural Networks for Multi-modal Trajectory Prediction. In: Bern Data Science Day. University of Bern: Data Science Lab
