Blaz Bertalanic

Eng. Appl. Artif. Intell., 2024

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

[BibT_eX]

[DOI]

Andrej Cop

CoRR, 2024

RAG Enabled Conversations about Household Electricity Monitoring.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Explainable semantic wireless anomaly characterization for digital twins.

[BibT_eX]

[DOI]

Comput. Networks, 2024

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

[BibT_eX]

[DOI]

IEEE Access, 2024

Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Self-supervised learning for clustering of wireless spectrum activity.

[BibT_eX]

[DOI]

Comput. Commun., December, 2023

Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies.

[BibT_eX]

[DOI]

Marko Meza

IEEE Trans. Neural Networks Learn. Syst., October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

XAI for Self-supervised Clustering of Wireless Spectrum Activity.

[BibT_eX]

[DOI]

CoRR, 2023

Area Under Time Series Transformation for Home Appliance Classification.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023

Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Machine Vision Based Wireless Link Layer Anomaly Characterization.

[BibT_eX]

[DOI]

Valerij Jovanov

Proceedings of the 1st International Workshop on Networked AI Systems, 2023

Deep Feature Learning for Wireless Spectrum Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

GNN for Wireless Link Anomaly Detection.

[BibT_eX]

[DOI]

Mihael Mohorcic

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Resource-aware Deep Learning for Wireless Fingerprinting Localization.

[BibT_eX]

[DOI]

Gregor Cerar

CoRR, 2022

On Designing Data Models for Energy Feature Stores.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Sustainable Deep Learning for Wireless Fingerprinting Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2022

2021

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

[BibT_eX]

[DOI]

Marko Meza