| Learning the unknown: Improving modulation classification performance in unseen scenarios E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 26 | 2021 |
| Automatic modulation classification using parallel fusion of convolutional neural networks E Perenda, S Rajendran, S Pollin BalkanCom'19, 2019 | 22 | 2019 |
| Quality of experience inference for video services in home WiFi networks A Ligata, E Perenda, H Gacanin IEEE Communications Magazine 56 (3), 187-193, 2018 | 17 | 2018 |
| Self-deployment of non-stationary wireless systems by knowledge management with artificial intelligence H Gacanin, E Perenda, R Atawia IEEE Transactions on Cognitive Communications and Networking 5 (4), 1004-1018, 2019 | 15 | 2019 |
| Self-optimization of wireless systems with knowledge management: An artificial intelligence approach H Gačanin, E Perenda, S Karunaratne, R Atawia IEEE Transactions on Vehicular Technology 68 (10), 9682-9697, 2019 | 11 | 2019 |
| Evolutionary optimization of residual neural network architectures for modulation classification E Perenda, S Rajendran, G Bovet, S Pollin, M Zheleva IEEE Transactions on Cognitive Communications and Networking 8 (2), 542-556, 2021 | 9 | 2021 |
| Performance modelling and optimization of IP Multimedia Subsystem JB Husic, E Perenda, M Hadzialic, S Barakovic 2013 European Modelling Symposium, 617-622, 2013 | 9 | 2013 |
| SkySense: Terrestrial and aerial spectrum use analysed using lightweight sensing technology with weather balloons B Reynders, F Minucci, E Perenda, H Sallouha, R Calvo-Palomino, ... Proceedings of the 18th International Conference on Mobile Systems …, 2020 | 7 | 2020 |
| Artificial intelligence driven optimization of channel and location in wireless networks S Karunaratne, R Atawia, E Perenda, H Gacanin 2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018 | 4 | 2018 |
| Contrastive learning with self-reconstruction for channel-resilient modulation classification E Perenda, S Rajendran, G Bovet, M Zheleva, S Pollin IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 2 | 2023 |
| Self-X Design of Wireless Networks: Exploiting Artificial Intelligence and Guided Learning E Perenda, S Karunaratne, R Atawia, H Gacanin arXiv preprint arXiv:1805.06247, 2018 | 1 | 2018 |
| A Collaborative Multi-agent Deep Reinforcement Learning-based Wireless Power Allocation with Centralized Training and Decentralized Execution A Kopic, E Perenda, H Gacanin IEEE Transactions on Communications, 2024 | | 2024 |
| Unveiling the Effects of Experience Replay on Deep Reinforcement Learning-based Power Allocation in Wireless Networks A Kopic, E Perenda, H Gacanin 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | | 2024 |
| Action Space-Independent Exploration Methods in Multi-Agent Deep Reinforcement Learning for Wireless Power Allocation A Kopic, E Perenda, H Gacanin 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | | 2024 |
| Channel and hardware impairment data augmentation for robust modulation classification E Perenda, G Bovet, M Zheleva, S Pollin IEEE Transactions on Cognitive Communications and Networking, 2024 | | 2024 |
| Cooperative Partial Task-Offloading for Heterogeneous Industrial Robotic MEC System Using Spectral and Energy-Efficient Federated Learning M Pourghasemian, H Gacanin, E Perenda GLOBECOM 2023-2023 IEEE Global Communications Conference, 219-224, 2023 | | 2023 |
| Deep Learning Based Modulation Classification with Channel and Hardware Impairments E Perenda | | 2023 |
| Method, apparatus and computer readable media for network optimization E Perenda, H Gacanin US Patent 11,576,055, 2023 | | 2023 |
| Artificial Intelligence Inspired Self-Deployment of Wireless Networks E Perenda, R Atawia, H Gacanin arXiv preprint arXiv:1805.06217, 2018 | | 2018 |
Haris GačaninRWTH Aachen University在 ice.rwth-aachen.de 的电子邮件经过验证
