Photo of Blaž Bertalanič

Blaž Bertalanič

Role: PhD student
Joined: October, 2021
Affiliations: Jožef Stefan Institute

Main research interests:

solving classification problems with the help of machine learning and AI, wireless networking, electronics, and signal processing.

Bio:

Blaž Bertalanič received his Master’s degree in electrical engineering from the Faculty of Electrical engineering, University of Ljubljana. He is currently pursuing his PhD at the same faculty and is working as a researcher at the Department of Communication Systems, Jožef Stefan Institute.

Publications:

  • Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification
    Blaž Bertalanič, and Carolina Fortuna
    2023 IEEE Wireless Communications and Networking Conference (WCNC) : proceedings, 2023
  • XAI for Self-Supervised Clustering of Wireless Spectrum Activity
    Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič, Carolina Fortuna, and Mihael Mohorčič
  • LOG-a-TEC Testbed Outdoor Fingerprinting Localization Using BLE Beacons
    Blaž Bertalanič, Grega Morano, and Gregor Cerar
    Proceedings of the ... Electrotechnical and Computer Science Conference, 2022
  • Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
    Anže Pirnat, Blaž Bertalanič, Gregor Cerar, Mihael Mohorčič, Marko Meža, and Carolina Fortuna
    ICC 2022 - IEEE International Conference on Communications : 16-20 May 2022, 2022
  • LOG-a TEC Testbed Outdoor Localization Using BLE Beacons
    Blaž Bertalanič, Grega Morano, and Gregor Cerar
    BalkanCom 2022, 2022 International Balkan Conference on Communications and Networking (BalcanCom), 22-24 August, Sarajevo, Bosnia and Hercegovina, 2022
  • Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies
    Blaž Bertalanič, Marko Meža, and Carolina Fortuna
    IEEE transactions on neural networks and learning systems, 2022
  • Self-Supervised Learning for Clustering of Wireless Spectrum Activity
    Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič, Carolina Fortuna, and Mihael Mohorčič
  • Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
    Anže Pirnat, Blaž Bertalanič, Gregor Cerar, Mihael Mohorčič, Marko Meža, and Carolina Fortuna
  • On Designing Data Models for Energy Feature Stores
    Gregor Cerar, Blaž Bertalanič, Anže Pirnat, Andrej Čampa, and Carolina Fortuna
  • Resource-Aware Deep Learning for Wireless Fingerprinting Localization
    Gregor Cerar, Blaž Bertalanič, and Carolina Fortuna
  • Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS
    Blaž Bertalanič, Jakob Jenko, and Carolina Fortuna
  • Learning to Automatically Identify Home Appliances
    Dan Lorbek Ivančič, Blaž Bertalanič, Gregor Cerar, and Carolina Fortuna
    Odkrivanje znanja in podatkovna skladišča - SiKDD : 4. oktober 2021, 4 October 2021, Ljubljana, Slovenia, 2021
  • A Deep Learning Model for Anomalous Wireless Link Detection
    Blaž Bertalanič, Halil Yetgin, Gregor Cerar, and Carolina Fortuna
    17th virtual IEEE International Conference on Wireless and Mobile Computing, Neworking And Communications, (WiMob), 11-13 October, 2021, 2021
  • Designing a Machine Learning Based Non-Intrusive Load Monitoring Classifier
    Leo Ogrizek, Blaž Bertalanič, Gregor Cerar, Marko Meža, and Carolina Fortuna
    Proceedings of the ... Electrotechnical and Computer Science Conference, 2021
  • Learning to Detect Anomalous Wireless Links in IoT Networks
    Gregor Cerar, Halil Yetgin, Blaž Bertalanič, and Carolina Fortuna
    IEEE access, 2020
  • Spremljanje Satelitov GPS v Vidnem Polju Na Osnovi Modula NEO-6M
    Blaž Bertalanič, Aljaž Blatnik, and Boštjan Batagelj
    Proceedings of the ... Electrotechnical and Computer Science Conference, 2020
  • Using CNNs With Long-Short-Term Memory for Recognition of Writing
    Blaž Bertalanič
    Zbornik sedemindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2018, 2018