| Learning combinatorial optimization on graphs: A survey with applications to networking N Vesselinova, R Steinert, DF Perez-Ramirez, M Boman IEEE Access 8, 120388-120416, 2020 | 203 | 2020 |
| Machine learning at the mobile edge: The case of dynamic adaptive streaming over http (dash) R Behravesh, A Rao, DF Perez-Ramirez, D Harutyunyan, R Riggio, ... IEEE Transactions on Network and Service Management 19 (4), 4779-4793, 2022 | 12 | 2022 |
| ML-driven DASH content pre-fetching in MEC-enabled mobile networks R Behravesh, DF Perez-Ramirez, A Rao, D Harutyunyan, R Riggio, ... 2020 16th International Conference on Network and Service Management (CNSM), 1-7, 2020 | 9 | 2020 |
| Deepgantt: A scalable deep learning scheduler for backscatter networks DF Perez-Ramirez, C Pérez-Penichet, N Tsiftes, T Voigt, D Kostić, ... Proceedings of the 22nd International Conference on Information Processing …, 2023 | 8 | 2023 |
| Towards automated joining element design DHD Eggink, MW Groll, DF Perez-Ramirez, J Biedert, C Knödler, ... Procedia Computer Science 159, 87-96, 2019 | 8 | 2019 |
| Automated joining element design by predicting spot-weld locations using 3D convolutional neural networks DHD Eggink, DF Perez-Ramirez, MW Groll 2020 IEEE International Conference on Engineering, Technology and Innovation …, 2020 | 7 | 2020 |
| Variational quantum algorithms for combinatorial optimization DF Perez-Ramirez arXiv preprint arXiv:2407.06421, 2024 | 6 | 2024 |
| A Low-resolution infrared thermal dataset and potential privacy-preserving applications S Zhu, T Voigt, DF Perez-Ramirez, J Eriksson Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 4 | 2021 |
| Elastic deployment of robust distributed control planes with performance guarantees DF Perez-Ramirez, R Steinert, N Vesselinova, D Kostić IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 2 | 2020 |
| Robust Generalization of Graph Neural Networks for Carrier Scheduling DF Perez-Ramirez, C Pérez-Penichet, N Tsiftes, D Kostic, M Boman, ... arXiv preprint arXiv:2407.08479, 2024 | | 2024 |
| Machine Learning for Combinatorial Resource Allocation DF Pérez-Ramırez, D Kostic, M Boman, N Tsiftes Energy 40 (20), 0, 2023 | | 2023 |
| Poster: TheDet: A Machine Learning-based Privacy-preserving Occupancy Estimation Method. S Zhu, J Eriksson, T Voigt, DF Perez-Ramirez EWSN, 208-209, 2022 | | 2022 |
Magnus BomanProfessor in Artificial Intelligence and Health, Karolinska Institutet在 ki.se 的電子郵件地址已通過驗證