Jernej Hribar

35 papers B 5Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cost Minimization in Energy Communities With Multi-Agent Deep Reinforcement Learning and Linear Programming.
IEEE Access
Matic Pokorn, Andrej Campa, Miha Smolnikar, Mihael Mohorcic, Jernej Hribar
2026 J jnl
The Energy Cost of Artificial Intelligence Lifecycle in Communication Networks.
IEEE J. Sel. Areas Commun.
Shih-Kai Chou, Jernej Hribar, Vid Hanzel, Mihael Mohorcic, Carolina Fortuna
2026 J jnl
Towards a Sustainable Age of Information Metric: Carbon Footprint of Real-Time Status Updates.
CoRR
Shih-Kai Chou, Maice Costa, Mihael Mohorcic, Jernej Hribar
2025 J jnl
A Multimodal Dataset for Indoor Radio Mapping with 3D Point Clouds and RSSI.
CoRR
Ljupcho Milosheski, Kuon Akiyama, Blaz Bertalanic, Jernej Hribar, Ryoichi Shinkuma
2025 B conf
Demonstrating Smart Scaling of AI-Services for Future Networks.
WCNC
Jovan Prodanov, Blaz Bertalanic, Carolina Fortuna, Jernej Hribar
2025 — conf
Energy Cost of the AI/ML Workflow in O-RAN.
NFV-SDN
Shih-Kai Chou, Jernej Hribar, Blaz Bertalanic, Mihael Mohorcic, Thomas Lagkas, Panagiotis G. Sarigiannidis, Carolina Fortuna
2025 B conf
Multi-Agent Reinforcement Learning-Based In-Place Scaling Engine for Edge-Cloud Systems.
CLOUD
Jovan Prodanov, Blaz Bertalanic, Carolina Fortuna, Shih-Kai Chou, Matjaz B. Juric, Ramon Sanchez-Iborra, Jernej Hribar
2025 J jnl
Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems.
CoRR
Jovan Prodanov, Blaz Bertalanic, Carolina Fortuna, Shih-Kai Chou, Matjaz B. Juric, Ramon Sanchez-Iborra, Jernej Hribar
2025 J jnl
SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator.
CoRR
Shih-Kai Chou, Mengran Zhao, Cheng-Nan Hu, Kuang-Chung Chou, Carolina Fortuna, Jernej Hribar
2024 J jnl
Digital transformation with a lightweight on-premise PaaS.
Future Gener. Comput. Syst.
Din Music, Jernej Hribar, Carolina Fortuna
2024 J jnl
FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems.
Comput. Networks
Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Natalia Castro Fernandes, Diogo M. F. Mattos
2024 — conf
Self-Supervised Visual Exploration of Age of Information Process in IoT.
WF-IoT
Ljupcho Milosheski, Leila Mokrovic, Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna, Jernej Hribar
2024 J jnl
The Energy Cost of Artificial Intelligence of Things Lifecycle.
CoRR
Shih-Kai Chou, Jernej Hribar, Mihael Mohorcic, Carolina Fortuna
2024 — conf
Towards 6G for Connected Autonomous Vehicles: A Trial Facility Analysis.
CAMAD
Shih-Kai Chou, Jernej Hribar, Ivana Dusparic, Carolina Fortuna
2024 — conf
Towards the Standardization of Energy Efficiency Metrics of the AI Lifecycle in 6G and Beyond.
CSCN
Shih-Kai Chou, Jernej Hribar, Mihael Mohorcic, Carolina Fortuna
2024 J jnl
Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks.
IEEE Open J. Commun. Soc.
Blaz Bertalanic, Jernej Hribar, Carolina Fortuna
2023 J jnl
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends.
IEEE Access
Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes
2023 — conf
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning.
ICAART (2)
Jernej Hribar, Luke Hackett, Ivana Dusparic
2023 — conf
Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning.
BuildSys
Matic Pokorn, Mihael Mohorcic, Andrej Campa, Jernej Hribar
2022 J jnl
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning.
CoRR
Jernej Hribar, Luke Hackett, Ivana Dusparic
2022 B conf
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.
WCNC
Jernej Hribar, Ivana Dusparic
2022 J jnl
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network.
CoRR
Jernej Hribar, Ivana Dusparic
2022 J jnl
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.
IEEE Internet Things J.
Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
2022 J jnl
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs.
CoRR
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, Boris Bellalta
2022 J jnl
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning.
Comput. Commun.
Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic
2021 B conf
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.
GLOBECOM
Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
2021 J jnl
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning.
CoRR
Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic
2021 J jnl
SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions.
IEEE Trans. Cogn. Commun. Netw.
Zhiyuan Jiang, Yan Liu, Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu
2020 J jnl
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.
CoRR
Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
2020 — conf
Resource Reservation within Sliced 5G Networks: A Cost-Reduction Strategy for Service Providers.
ICC Workshops
Jean-Baptiste Monteil, Jernej Hribar, Pieter Barnard, Yong Li, Luiz A. DaSilva
2019 J jnl
Using Correlated Information to Extend Device Lifetime.
IEEE Internet Things J.
Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva
2019 — conf
Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices.
ICC Workshops
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
2019 J jnl
Using Deep Q-learning To Prolong the Lifetime of Correlated Internet of Things Devices.
CoRR
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
2019 — conf
Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices.
WF-IoT
Jernej Hribar, Luiz A. DaSilva
2017 B conf
Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources.
GLOBECOM
Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva