Learning to Detect Anomalous Wireless Links in IoT Networks. - Gregor Cerar; Halil Yetgin; Blaz Bertalanic; Carolina Fortuna (IEEE Access, 2020)

A Deep Learning Model for Anomalous Wireless Link Detection. - Blaz Bertalanic; Halil Yetgin; Gregor Cerar; Carolina Fortuna (WiMob, 2021)

Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks. - Blaz Bertalanic; Marko Meza; Carolina Fortuna (CoRR, 2021)

Towards Sustainable Deep Learning for Wireless Fingerprinting Localization. - Anze Pirnat; Blaz Bertalanic; Gregor Cerar; Mihael Mohorcic; Marko Meza; Carolina Fortuna (ICC, 2022)

On Designing Data Models for Energy Feature Stores. - Gregor Cerar; Blaz Bertalanic; Anze Pirnat; Andrej Campa; Carolina Fortuna (CoRR, 2022)

Resource-aware Deep Learning for Wireless Fingerprinting Localization. - Gregor Cerar; Blaz Bertalanic; Carolina Fortuna (CoRR, 2022)

GNN for Wireless Link Anomaly Detection. - Blaz Bertalanic; Mihael Mohorcic; Carolina Fortuna (INFOCOM Workshops, 2023)

Deep Feature Learning for Wireless Spectrum Data. - Ljupcho Milosheski; Gregor Cerar; Blaz Bertalanic; Carolina Fortuna; Mihael Mohorcic (MeditCom, 2023)

Machine Vision Based Wireless Link Layer Anomaly Characterization. - Valerij Jovanov; Blaz Bertalanic; Carolina Fortuna (NetAISys@MobiSys, 2023)

Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification. - Blaz Bertalanic; Carolina Fortuna (WCNC, 2023)

Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches. - Gregor Cerar; Blaz Bertalanic; Mihael Mohorcic; Carolina Fortuna (WiMob, 2023)

Area Under Time Series Transformation for Home Appliance Classification. - Leo Ogrizek; Blaz Bertalanic; Mihael Mohorcic; Carolina Fortuna (WiMob, 2023)

XAI for Self-supervised Clustering of Wireless Spectrum Activity. - Ljupcho Milosheski; Gregor Cerar; Blaz Bertalanic; Carolina Fortuna; Mihael Mohorcic (CoRR, 2023)

Towards Sustainable Deep Learning for Multi-Label Classification on NILM. - Anze Pirnat; Blaz Bertalanic; Gregor Cerar; Mihael Mohorcic; Carolina Fortuna (CoRR, 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)

Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies. - Blaz Bertalanic; Marko Meza; Carolina Fortuna (IEEE Trans. Neural Networks Learn. Syst., 2023)

Self-supervised learning for clustering of wireless spectrum activity. - Ljupcho Milosheski; Gregor Cerar; Blaz Bertalanic; Carolina Fortuna; Mihael Mohorcic (Comput. Commun., 2023)

Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin. - Carolina Fortuna; Vid Hanzel; Blaz Bertalanic (SmartGridComm, 2024)

Self-Supervised Visual Exploration of Age of Information Process in IoT. - Ljupcho Milosheski; Leila Mokrovic; Blaz Bertalanic; Mihael Mohorcic; Carolina Fortuna; Jernej Hribar (WF-IoT, 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)

Explainable semantic wireless anomaly characterization for digital twins. - Blaz Bertalanic; Vid Hanzel; Carolina Fortuna (Comput. Networks, 2024)

Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph. - Vid Hanzel; Blaz Bertalanic; Carolina Fortuna (CoRR, 2024)

RAG Enabled Conversations about Household Electricity Monitoring. - Carolina Fortuna; Vid Hanzel; Blaz Bertalanic (CoRR, 2024)

Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification. - Irina Barasin; Blaz Bertalanic; Miha Mohorcic; Carolina Fortuna (CoRR, 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]. - Blaz Bertalanic; Carolina Fortuna (Eng. Appl. Artif. Intell., 2024)

Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge Networks. - Blaz Bertalanic; Jernej Hribar; Carolina Fortuna (IEEE Open J. Commun. Soc., 2024)

CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification. - Blaz Bertalanic; Carolina Fortuna (Eng. Appl. Artif. Intell., 2024)

Demonstrating Smart Scaling of AI-Services for Future Networks. - Jovan Prodanov; Blaz Bertalanic; Carolina Fortuna; Jernej Hribar (WCNC, 2025)

Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach. - Joze M. Rozanec; Gasper Petelin; João Pita Costa; Gregor Cerar; Blaz Bertalanic; Marko Gucek; Gregor Papa; Dunja Mladenic (Eng. Appl. Artif. Intell., 2025)

An overview and solution for democratizing AI workflows at the network edge. - Andrej Cop; Blaz Bertalanic; Carolina Fortuna (J. Netw. Comput. Appl., 2025)

A Representation Learning Approach to Feature Drift Detection in Wireless Networks. - Athanasios Tziouvaras; Blaz Bertalanic; George Floros 002; Kostas Kolomvatsos; Panagiotis Sarigiannidis; Carolina Fortuna (CoRR, 2025)

MRM3: Machine Readable ML Model Metadata. - Andrej Cop; Blaz Bertalanic; Marko Grobelnik; Carolina Fortuna (CoRR, 2025)

Graph Neural Networks Based Anomalous RSSI Detection. - Blaz Bertalanic; Matej Vnucec; Carolina Fortuna (CoRR, 2025)

A Network Science Approach to Granular Time Series Segmentation. - Ivana Kesic; Carolina Fortuna; Mihael Mohorcic; Blaz Bertalanic (CoRR, 2025)

Data Model Design for Explainable Machine Learning-based Electricity Applications. - Carolina Fortuna; Gregor Cerar; Blaz Bertalanic; Andrej Campa; Mihael Mohorcic (CoRR, 2025)

Multi-agent Reinforcement Learning-based In-place Scaling Engine for Edge-cloud Systems. - Jovan Prodanov; Blaz Bertalanic; Carolina Fortuna; Shih-Kai Chou; Matjaz B. Juric; Ramon Sanchez-Iborra; Jernej Hribar (CoRR, 2025)