Resource Allocation in Energy Harvesting Communication Systems. - Ivana Nikoloska; Zoran Hadzi-Velkov; Hristina Cingoska (FABULOUS, 2015)

Proportional fair scheduling in wireless powered communication networks. - Hristina Chingoska; Ivana Nikoloska; Zoran Hadzi-Velkov; Nikola Zlatanov (ICT, 2016)

Proportional Fair Scheduling in Wireless Networks With RF Energy Harvesting and Processing Cost. - Zoran Hadzi-Velkov; Ivana Nikoloska; Hristina Chingoska; Nikola Zlatanov (IEEE Commun. Lett., 2016)

Wireless Networks with Energy Harvesting and Power Transfer: Joint Power and Time Allocation. - Zoran Hadzi-Velkov; Ivana Nikoloska; George K. Karagiannidis; Trung Quang Duong (IEEE Signal Process. Lett., 2016)

Resource Allocation in Wireless Powered Communication Networks With Non-Orthogonal Multiple Access. - Hristina Chingoska; Zoran Hadzi-Velkov; Ivana Nikoloska; Nikola Zlatanov (IEEE Wirel. Commun. Lett., 2016)

Uplink successful transmission probability in energy-harvesting cellular networks. - Aleksandar Ichkov; Ivana Nikoloska; Zoran Hadzi-Velkov; Liljana Gavrilovska (CCNC, 2017)

Opportunistic Scheduling in Wireless Powered Communication Networks. - Zoran Hadzi-Velkov; Ivana Nikoloska; Hristina Chingoska; Nikola Zlatanov (IEEE Trans. Wirel. Commun., 2017)

On the Secrecy Capacity of a Full-Duplex Wirelessly Powered Communication System in the Presence of a Passive Eavesdropper. - Ivana Nikoloska; Nikola Zlatanov; Zoran Hadzi-Velkov (CoRR, 2018)

Capacity of a Full-Duplex Wirelessly Powered Communication System With Self-Interference and Processing Cost. - Ivana Nikoloska; Nikola Zlatanov; Zoran Hadzi-Velkov (IEEE Trans. Wirel. Commun., 2018)

On the Secrecy Capacity of a Full-Duplex Wirelessly Powered Communication System. - Ivana Nikoloska; Nikola Zlatanov; Zoran Hadzi-Velkov; Rui Zhang 006 (IEEE Trans. Wirel. Commun., 2019)

Deep Reinforcement Learning-Aided Random Access. - Ivana Nikoloska; Nikola Zlatanov (CoRR, 2020)

Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks. - Ivana Nikoloska; Osvaldo Simeone (SPAWC, 2021)

Black-Box and Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. - Ivana Nikoloska; Osvaldo Simeone (CoRR, 2021)

BAMLD: Bayesian Active Meta-Learning by Disagreement. - Ivana Nikoloska; Osvaldo Simeone (CoRR, 2021)

Data Selection Scheme for Energy Efficient Supervised Learning at IoT Nodes. - Ivana Nikoloska; Nikola Zlatanov (IEEE Commun. Lett., 2021)

Inference Over Wireless IoT Links With Importance-Filtered Updates. - Ivana Nikoloska; Josefine Holm; Anders E. Kalør; Petar Popovski; Nikola Zlatanov (IEEE Trans. Cogn. Commun. Netw., 2021)

On Resource Allocation in Machine-Type Communication Networks. - Ivana Nikoloska (2021)

Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines. - Ivana Nikoloska; Osvaldo Simeone (MLSP, 2022)

Bayesian Active Meta-Learning for Black-Box Optimization. - Ivana Nikoloska; Osvaldo Simeone (SPAWC, 2022)

Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization. - Ivana Nikoloska; Osvaldo Simeone (IEEE Signal Process. Lett., 2022)

Learning with Limited Samples: Meta-Learning and Applications to Communication Systems. - Lisha Chen; Sharu Theresa Jose; Ivana Nikoloska; Sangwoo Park 002; Tianyi Chen; Osvaldo Simeone (Found. Trends Signal Process., 2023)

Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks. - Ivana Nikoloska; Osvaldo Simeone (IEEE Trans. Wirel. Commun., 2023)

Time-warping invariant quantum recurrent neural networks via quantum-classical adaptive gating. - Ivana Nikoloska; Osvaldo Simeone; Leonardo Banchi; Petar Velickovic (Mach. Learn. Sci. Technol., 2023)

Modified Baum-Welch Algorithm for Joint Blind Channel Estimation and Turbo Equalization. - Chin-Hung Chen; Boris Karanov; Ivana Nikoloska; Wim J. van Houtum; Yan Wu 023; Alex Alvarado (CoRR, 2024)

Robust Blind Channel Estimation for Bursty Impulsive Noise with a Constrained EM Approach. - Chin-Hung Chen; Ivana Nikoloska; Wim J. van Houtum; Yan Wu 023; Boris Karanov; Alex Alvarado (CoRR, 2025)

Expected Free Energy-based Planning as Variational Inference. - Bert de Vries; Wouter W. L. Nuijten; Thijs van de Laar; Wouter M. Kouw; Sepideh Adamiat; Tim Nisslbeck; Mykola Lukashchuk; Hoang Minh Huu Nguyen; Marco Hidalgo Araya; Raphael Tresor; Thijs Jenneskens; Ivana Nikoloska; et al. (CoRR, 2025)

Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference. - Ivana Nikoloska; Hamdi Joudeh; Ruud van Sloun; Osvaldo Simeone (CoRR, 2025)

Adaptive Bayesian Single-Shot Quantum Sensing. - Ivana Nikoloska; Ruud van Sloun; Osvaldo Simeone (CoRR, 2025)