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 | 19 | 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 | 3 | 2023 |
Deep Reinforcement Learning for Cavity Filter Tuning H Larsson | 3 | 2018 |
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 |
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 | 1 | 2024 |
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 |
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 |