Blaz Bertalanic

According to our database, Blaz Bertalanic authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification.

Blaz Bertalanic, Carolina Fortuna

Eng. Appl. Artif. Intell., January, 2024

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

Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Carolina Fortuna

IEEE Access, 2024

2023

Self-supervised learning for clustering of wireless spectrum activity.

Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic

Comput. Commun., December, 2023

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

Blaz Bertalanic, Marko Meza, Carolina Fortuna

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

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

Joze M. Rozanec, Gasper Petelin, João Pita Costa, Blaz Bertalanic, Gregor Cerar, Marko Gucek, Gregor Papa, Dunja Mladenic

CoRR, 2023

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

Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Carolina Fortuna

CoRR, 2023

XAI for Self-supervised Clustering of Wireless Spectrum Activity.

Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic

CoRR, 2023

Area Under Time Series Transformation for Home Appliance Classification.

Leo Ogrizek, Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna

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

Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches.

Gregor Cerar, Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna

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

Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification.

Blaz Bertalanic, Carolina Fortuna

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Deep Feature Learning for Wireless Spectrum Data.

Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic

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

GNN for Wireless Link Anomaly Detection.

Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna

Proceedings of the IEEE INFOCOM 2023, 2023

2022

Resource-aware Deep Learning for Wireless Fingerprinting Localization.

Gregor Cerar, Blaz Bertalanic, Carolina Fortuna

CoRR, 2022

On Designing Data Models for Energy Feature Stores.

Gregor Cerar, Blaz Bertalanic, Anze Pirnat, Andrej Campa, Carolina Fortuna

CoRR, 2022

Towards Sustainable Deep Learning for Wireless Fingerprinting Localization.

Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Marko Meza, Carolina Fortuna

Proceedings of the IEEE International Conference on Communications, 2022

2021

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

Blaz Bertalanic, Marko Meza, Carolina Fortuna

CoRR, 2021

A Deep Learning Model for Anomalous Wireless Link Detection.

Blaz Bertalanic, Halil Yetgin, Gregor Cerar, Carolina Fortuna

Proceedings of the 17th International Conference on Wireless and Mobile Computing, 2021

2020

Learning to Detect Anomalous Wireless Links in IoT Networks.

Gregor Cerar, Halil Yetgin, Blaz Bertalanic, Carolina Fortuna

IEEE Access, 2020