| Wireless networks with energy harvesting and power transfer: Joint power and time allocation Z Hadzi-Velkov, I Nikoloska, GK Karagiannidis, TQ Duong IEEE Signal Processing Letters 23 (1), 50-54, 2015 | 111 | 2015 |
| Resource allocation in wireless powered communication networks with non-orthogonal multiple access H Chingoska, Z Hadzi-Velkov, I Nikoloska, N Zlatanov IEEE Wireless Communications Letters 5 (6), 684-687, 2016 | 96 | 2016 |
| Opportunistic scheduling in wireless powered communication networks Z Hadzi-Velkov, I Nikoloska, H Chingoska, N Zlatanov IEEE Transactions on Wireless Communications 16 (6), 4106-4119, 2017 | 28 | 2017 |
| Fast power control adaptation via meta-learning for random edge graph neural networks I Nikoloska, O Simeone 2021 IEEE 22nd International Workshop on Signal Processing Advances in …, 2021 | 23 | 2021 |
| Learning with limited samples: Meta-learning and applications to communication systems L Chen, ST Jose, I Nikoloska, S Park, T Chen, O Simeone Foundations and Trends® in Signal Processing 17 (2), 79-208, 2023 | 22 | 2023 |
| Proportional fair scheduling in wireless networks with RF energy harvesting and processing cost Z Hadzi-Velkov, I Nikoloska, H Chingoska, N Zlatanov IEEE Communications Letters 20 (10), 2107-2110, 2016 | 21 | 2016 |
| Modular meta-learning for power control via random edge graph neural networks I Nikoloska, O Simeone IEEE Transactions on Wireless Communications 22 (1), 457-470, 2022 | 14 | 2022 |
| Data selection scheme for energy efficient supervised learning at IoT nodes I Nikoloska, N Zlatanov IEEE Communications Letters 25 (3), 859-863, 2020 | 9 | 2020 |
| Training hybrid classical-quantum classifiers via stochastic variational optimization I Nikoloska, O Simeone IEEE Signal Processing Letters 29, 977-981, 2022 | 8 | 2022 |
| Black-box and modular meta-learning for power control via random edge graph neural networks I Nikoloska, O Simeone arXiv preprint arXiv:2108.13178, 2021 | 6 | 2021 |
| Capacity of a full-duplex wirelessly powered communication system with self-interference and processing cost I Nikoloska, N Zlatanov, Z Hadzi-Velkov IEEE Transactions on Wireless Communications 17 (11), 7648-7660, 2018 | 6 | 2018 |
| Bayesian active meta-learning for black-box optimization I Nikoloska, O Simeone 2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022 | 5 | 2022 |
| Proportional fair scheduling in wireless powered communication networks H Chingoska, I Nikoloska, Z Hadzi-Velkov, N Zlatanov 2016 23rd International Conference on Telecommunications (ICT), 1-5, 2016 | 5 | 2016 |
| Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating I Nikoloska, O Simeone, L Banchi, P Veličković Machine Learning: Science and Technology 4 (4), 045038, 2023 | 3 | 2023 |
| Quantum-aided meta-learning for bayesian binary neural networks via Born machines I Nikoloska, O Simeone 2022 IEEE 32nd International Workshop on Machine Learning for Signal …, 2022 | 3 | 2022 |
| BAMLD: Bayesian active meta-learning by disagreement I Nikoloska, O Simeone arXiv preprint arXiv:2110.09943, 2021 | 3 | 2021 |
| On the secrecy capacity of a full-duplex wirelessly powered communication system I Nikoloska, N Zlatanov, Z Hadzi-Velkov, R Zhang IEEE Transactions on Wireless Communications 18 (11), 5424-5439, 2019 | 3 | 2019 |
| Uplink successful transmission probability in energy-harvesting cellular networks A Ichkov, I Nikoloska, Z Hadzi-Velkov, L Gavrilovska 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC …, 2017 | 2 | 2017 |
| Inference Over Wireless IoT Links With Importance-Filtered Updates I Nikoloska, J Holm, AE Kalør, P Popovski, N Zlatanov IEEE Transactions on Cognitive Communications and Networking 7 (4), 1089-1098, 2021 | | 2021 |
| On Resource Allocation in Machine-Type Communication Networks I Nikoloska Monash University, 2021 | | 2021 |
