Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources. - Jernej Hribar; Maice Costa; Nicholas J. Kaminski; Luiz A. DaSilva (GLOBECOM, 2017)

Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices. - Jernej Hribar; Andrei Marinescu; George A. Ropokis; Luiz A. DaSilva (ICC Workshops, 2019)

Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices. - Jernej Hribar; Luiz A. DaSilva (WF-IoT, 2019)

Using Correlated Information to Extend Device Lifetime. - Jernej Hribar; Maice Costa; Nicholas J. Kaminski; Luiz A. DaSilva (IEEE Internet Things J., 2019)

Resource Reservation within Sliced 5G Networks: A Cost-Reduction Strategy for Service Providers. - Jean-Baptiste Monteil; Jernej Hribar; Pieter Barnard; Yong Li; Luiz A. DaSilva (ICC Workshops, 2020)

Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. - Jernej Hribar; Ryoichi Shinkuma; George Iosifidis; Ivana Dusparic (GLOBECOM, 2021)

SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions. - Zhiyuan Jiang; Yan Liu; Jernej Hribar; Luiz A. DaSilva; Sheng Zhou 001; Zhisheng Niu (IEEE Trans. Cogn. Commun. Netw., 2021)

Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. - Jernej Hribar; Ivana Dusparic (WCNC, 2022)

Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning. - Jernej Hribar; Luiz A. DaSilva; Sheng Zhou 001; Zhiyuan Jiang; Ivana Dusparic (Comput. Commun., 2022)

Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs. - Francesc Wilhelmi; Jernej Hribar; Selim F. Yilmaz; Emre Ozfatura; Kerem Ozfatura; Ozlem Yildiz; Deniz Gündüz; Hao Chen; Xiaoying Ye; Lizhao You; Yulin Shao; Paolo Dini; et al. (CoRR, 2022)

Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. - Jernej Hribar; Andrei Marinescu; Alessandro Chiumento; Luiz A. DaSilva (IEEE Internet Things J., 2022)

Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning. - Jernej Hribar; Luke Hackett; Ivana Dusparic (ICAART (2), 2023)

Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning. - Matic Pokorn; Mihael Mohorcic; Andrej Campa; Jernej Hribar (BuildSys, 2023)

A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends. - Hélio N. Cunha Neto; Jernej Hribar; Ivana Dusparic; Diogo Menezes Ferrazani Mattos; Natalia Castro Fernandes (IEEE Access, 2023)

Towards 6G for Connected Autonomous Vehicles: A Trial Facility Analysis. - Shih-Kai Chou; Jernej Hribar; Ivana Dusparic; Carolina Fortuna (CAMAD, 2024)

Towards the Standardization of Energy Efficiency Metrics of the AI Lifecycle in 6G and Beyond. - Shih-Kai Chou; Jernej Hribar; Mihael Mohorcic; Carolina Fortuna (CSCN, 2024)

Self-Supervised Visual Exploration of Age of Information Process in IoT. - Ljupcho Milosheski; Leila Mokrovic; Blaz Bertalanic; Mihael Mohorcic; Carolina Fortuna; Jernej Hribar (WF-IoT, 2024)

FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems. - Hélio N. Cunha Neto; Jernej Hribar; Ivana Dusparic; Natalia Castro Fernandes; Diogo M. F. Mattos (Comput. Networks, 2024)

The Energy Cost of Artificial Intelligence of Things Lifecycle. - Shih-Kai Chou; Jernej Hribar; Mihael Mohorcic; Carolina Fortuna (CoRR, 2024)

Digital transformation with a lightweight on-premise PaaS. - Din Music; Jernej Hribar; Carolina Fortuna (Future Gener. Comput. Syst., 2024)

Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks. - Blaz Bertalanic; Jernej Hribar; Carolina Fortuna (IEEE Open J. Commun. Soc., 2024)

Demonstrating Smart Scaling of AI-Services for Future Networks. - Jovan Prodanov; Blaz Bertalanic; Carolina Fortuna; Jernej Hribar (WCNC, 2025)

Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems. - Jovan Prodanov; Blaz Bertalanic; Carolina Fortuna; Shih-Kai Chou; Matjaz B. Juric; Ramon Sanchez-Iborra; Jernej Hribar (CoRR, 2025)