Software interfaces for control, optimization and update of 5G machine type communication networks. - Carolina Fortuna; Adnan Bekan; Tomaz Javornik; Gregor Cerar; Mihael Mohorcic (Comput. Networks, 2017)

Link Quality Estimation using Machine Learning. - Gregor Cerar; Mihael Mohorcic; Timotej Gale; Carolina Fortuna (CoRR, 2018)

On Designing a Machine Learning Based Wireless Link Quality Classifier. - Gregor Cerar; Halil Yetgin; Mihael Mohorcic; Carolina Fortuna (PIMRC, 2020)

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

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

Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network. - Gregor Cerar; Ales Svigelj; Mihael Mohorcic; Carolina Fortuna; Tomaz Javornik (EuCNC/6G Summit, 2021)

Machine Learning-Based Model Selection for Anomalous Wireless Link Detection. - Gregor Cerar; Halil Yetgin; Carolina Fortuna (SoftCOM, 2021)

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

Learning to Fairly Classify the Quality of Wireless Links. - Gregor Cerar; Halil Yetgin; Mihael Mohorcic; Carolina Fortuna (WONS, 2021)

Machine Learning for Wireless Link Quality Estimation: A Survey. - Gregor Cerar; Halil Yetgin; Mihael Mohorcic; Carolina Fortuna (IEEE Commun. Surv. Tutorials, 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)

On-Premise Artificial Intelligence as a Service for Small and Medium Size Setups. - Carolina Fortuna; Din Music; Gregor Cerar; Andrej Campa; Panagiotis Kapsalis; Mihael Mohorcic (CoRR, 2022)

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

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

Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches. - Gregor Cerar; 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)

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

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)

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)

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