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Jernej Hribar
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2020 – today
- 2024
- [j8]Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Natalia Castro Fernandes, Diogo M. F. Mattos:
FedSBS: Federated-Learning participant-selection method for Intrusion Detection Systems. Comput. Networks 244: 110351 (2024) - [j7]Din Music, Jernej Hribar, Carolina Fortuna:
Digital transformation with a lightweight on-premise PaaS. Future Gener. Comput. Syst. 160: 619-629 (2024) - [j6]Blaz Bertalanic, Jernej Hribar, Carolina Fortuna:
Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks. IEEE Open J. Commun. Soc. 5: 3050-3065 (2024) - [i7]Shih-Kai Chou, Jernej Hribar, Mihael Mohorcic, Carolina Fortuna:
The Energy Cost of Artificial Intelligence of Things Lifecycle. CoRR abs/2408.00540 (2024) - 2023
- [j5]Hélio N. Cunha Neto, Jernej Hribar, Ivana Dusparic, Diogo Menezes Ferrazani Mattos, Natalia Castro Fernandes:
A Survey on Securing Federated Learning: Analysis of Applications, Attacks, Challenges, and Trends. IEEE Access 11: 41928-41953 (2023) - [c8]Jernej Hribar, Luke Hackett, Ivana Dusparic:
Deep W-Networks: Solving Multi-Objective Optimisation Problems with Deep Reinforcement Learning. ICAART (2) 2023: 17-26 - [c7]Matic Pokorn, Mihael Mohorcic, Andrej Campa, Jernej Hribar:
Smart Home Energy Cost Minimisation Using Energy Trading with Deep Reinforcement Learning. BuildSys 2023: 361-365 - 2022
- [j4]Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhiyuan Jiang, Ivana Dusparic:
Timely and sustainable: Utilising correlation in status updates of battery-powered and energy-harvesting sensors using Deep Reinforcement Learning. Comput. Commun. 192: 223-233 (2022) - [j3]Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva:
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. IEEE Internet Things J. 9(9): 6732-6744 (2022) - [c6]Jernej Hribar, Ivana Dusparic:
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. WCNC 2022: 2547-2552 - [i6]Jernej Hribar, Ivana Dusparic:
Enabling Deep Reinforcement Learning on Energy Constrained Devices at the Edge of the Network. CoRR abs/2201.07308 (2022) - [i5]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:
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs. CoRR abs/2203.10472 (2022) - [i4]Jernej Hribar, Luke Hackett, Ivana Dusparic:
Deep W-Networks: Solving Multi-Objective Optimisation Problems With Deep Reinforcement Learning. CoRR abs/2211.04813 (2022) - 2021
- [j2]Zhiyuan Jiang, Yan Liu, Jernej Hribar, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu:
SMART: Situationally-Aware Multi-Agent Reinforcement Learning-Based Transmissions. IEEE Trans. Cogn. Commun. Netw. 7(4): 1430-1443 (2021) - [c5]Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic:
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [i3]Jernej Hribar, Ryoichi Shinkuma, George Iosifidis, Ivana Dusparic:
Analyse or Transmit: Utilising Correlation at the Edge with Deep Reinforcement Learning. CoRR abs/2109.14535 (2021) - 2020
- [c4]Jean-Baptiste Monteil, Jernej Hribar, Pieter Barnard, Yong Li, Luiz A. DaSilva:
Resource Reservation within Sliced 5G Networks: A Cost-Reduction Strategy for Service Providers. ICC Workshops 2020: 1-6 - [i2]Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva:
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space. CoRR abs/2011.09747 (2020)
2010 – 2019
- 2019
- [j1]Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva:
Using Correlated Information to Extend Device Lifetime. IEEE Internet Things J. 6(2): 2439-2448 (2019) - [c3]Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva:
Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices. ICC Workshops 2019: 1-6 - [c2]Jernej Hribar, Luiz A. DaSilva:
Utilising Correlated Information to Improve the Sustainability of Internet of Things Devices. WF-IoT 2019: 805-808 - [i1]Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva:
Using Deep Q-learning To Prolong the Lifetime of Correlated Internet of Things Devices. CoRR abs/1902.02850 (2019) - 2017
- [c1]Jernej Hribar, Maice Costa, Nicholas J. Kaminski, Luiz A. DaSilva:
Updating Strategies in the Internet of Things by Taking Advantage of Correlated Sources. GLOBECOM 2017: 1-6
Coauthor Index
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last updated on 2024-12-10 20:48 CET by the dblp team
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