| Source selection in transfer learning for improved service performance predictions H Larsson, J Taghia, F Moradi, A Johnsson 2021 IFIP Networking Conference (IFIP Networking), 1-9, 2021 | 20 | 2021 |
| Policy-induced unsupervised feature selection: A networking case study J Taghia, F Moradi, H Larsson, X Lan, M Ebrahimi, A Johnsson IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 750-759, 2022 | 8 | 2022 |
| Automated collaborator selection for federated learning with multi-armed bandit agents H Larsson, H Riaz, S Ickin Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial …, 2021 | 6 | 2021 |
| Domain adaptation for network performance modeling with and without labeled data H Larsson, F Moradi, J Taghia, X Lan, A Johnsson NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-9, 2023 | 5 | 2023 |
| Deep Reinforcement Learning for Cavity Filter Tuning H Larsson | 3 | 2018 |
| Congruent learning for self-regulated federated learning in 6g J Taghia, F Moradi, H Larsson, X Lan, A Orucu, M Ebrahimi, A Johnsson IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 2 | 2024 |
| Towards source selection in transfer learning for cloud performance prediction H Larsson, J Taghia, F Moradi, A Johnsson 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021 | 2 | 2021 |
| Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network J Taghia, F Moradi, H Larsson, X Lan, M Ebrahimi, A Johnsson IEEE INFOCOM 2022-IEEE Conference on Computer Communications Workshops …, 2022 | 1 | 2022 |
| Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment FS Samani, H Larsson, S Damberg, A Johnsson, R Stadler NOMS 2024-2024 IEEE Network Operations and Management Symposium, 1-7, 2024 | | 2024 |
| Transfer Learning and Domain Adaptation in Telecommunications K Vandikas, F Moradi, H Larsson, A Johnsson IntechOpen, 2024 | | 2024 |
| Methods and apparatuses for providing transfer learning of a machine learning model A Johnsson, F Moradi, J Taghia, H Larsson US Patent App. 18/266,021, 2024 | | 2024 |
| Training of a machine learning model F Moradi, A Johnsson, J Taghia, H Larsson US Patent App. 18/269,734, 2024 | | 2024 |
| Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment F Shahabsamani, H Larsson, S Damberg, A Johnsson, R Stadler IEEE/IFIP Network Operations and Management Symposium 6–10 May 2024 Seoul …, 2024 | | 2024 |
| Managing training of a machine learning model S Ickin, H Riaz, H Larsson US Patent App. 18/035,333, 2023 | | 2023 |
| Source Selection based on Diversity for Machine Learning A Johnsson, M Ebrahimi, F Moradi, H Larsson, J Taghia US Patent App. 18/024,903, 2023 | | 2023 |
| Deep Learning for Smoothing in Dynamical Systems H Larsson, S Li | | 2018 |
