Blaz Bertalanic

Orcid: 0000-0001-9944-0732

According to our database1, Blaz Bertalanic authored at least 25 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification.
Eng. Appl. Artif. Intell., January, 2024

Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks.
IEEE Open J. Commun. Soc., 2024

Corrigendum to "CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification" [Eng. Appl. Artif. Intell. 127 (Part B) (2024) 107318].
Eng. Appl. Artif. Intell., 2024

An Overview and Solution for Democratizing AI Workflows at the Network Edge.
CoRR, 2024

RAG Enabled Conversations about Household Electricity Monitoring.
CoRR, 2024

Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph.
CoRR, 2024

Explainable semantic wireless anomaly characterization for digital twins.
Comput. Networks, 2024

Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances.
IEEE Access, 2024

2023
Self-supervised learning for clustering of wireless spectrum activity.
Comput. Commun., December, 2023

Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach.
CoRR, 2023

Towards Sustainable Deep Learning for Multi-Label Classification on NILM.
CoRR, 2023

XAI for Self-supervised Clustering of Wireless Spectrum Activity.
CoRR, 2023

Area Under Time Series Transformation for Home Appliance Classification.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Machine Vision Based Wireless Link Layer Anomaly Characterization.
Proceedings of the 1st International Workshop on Networked AI Systems, 2023

Deep Feature Learning for Wireless Spectrum Data.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

GNN for Wireless Link Anomaly Detection.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Resource-aware Deep Learning for Wireless Fingerprinting Localization.
CoRR, 2022

On Designing Data Models for Energy Feature Stores.
CoRR, 2022

Towards Sustainable Deep Learning for Wireless Fingerprinting Localization.
Proceedings of the IEEE International Conference on Communications, 2022

2021
Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks.
CoRR, 2021

A Deep Learning Model for Anomalous Wireless Link Detection.
Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021

2020
Learning to Detect Anomalous Wireless Links in IoT Networks.
IEEE Access, 2020


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