Gregor Cerar

According to our database, Gregor Cerar authored at least 21 papers between 2017 and 2024.

Collaborative distances:

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

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

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

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

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

2022

Resource-aware Deep Learning for Wireless Fingerprinting Localization.

Gregor Cerar, Blaz Bertalanic, 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

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

Machine Learning for Wireless Link Quality Estimation: A Survey.

Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna

IEEE Commun. Surv. Tutorials, 2021

Learning to Fairly Classify the Quality of Wireless Links.

Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna

Proceedings of the 16th Annual Conference on Wireless On-demand Network Systems and Services Conference, 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

Machine Learning-Based Model Selection for Anomalous Wireless Link Detection.

Gregor Cerar, Halil Yetgin, Carolina Fortuna

Proceedings of the International Conference on Software, 2021

Improving CSI-based Massive MIMO Indoor Positioning using Convolutional Neural Network.

Gregor Cerar, Ales Svigelj, Mihael Mohorcic, Carolina Fortuna, Tomaz Javornik

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021

2020

Learning to Detect Anomalous Wireless Links in IoT Networks.

Gregor Cerar, Halil Yetgin, Carolina Fortuna

CoRR, 2020

Learning to Detect Anomalous Wireless Links in IoT Networks.

Gregor Cerar, Halil Yetgin, Blaz Bertalanic, Carolina Fortuna

IEEE Access, 2020

On Designing a Machine Learning Based Wireless Link Quality Classifier.

Gregor Cerar, Halil Yetgin, Mihael Mohorcic, Carolina Fortuna

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

2018

Link Quality Estimation using Machine Learning.

Gregor Cerar, Mihael Mohorcic, Timotej Gale, Carolina Fortuna

CoRR, 2018

2017

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