Dr. Blaž Bertalanič
- Role: Research Associate
- Joined: October, 2021
- Affiliations: Jožef Stefan Institute
- Research Interests: solving classification problems with the help of machine learning and AI, applications of graph netural networks, wireless networking, electronics, and signal processing.
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.
Books Chapters:
- Resource-Aware Deep Learning for Wireless Fingerprinting Localization2023
Publications:
- Natural Language Interaction With a Household Electricity Knowledge-Based Digital Twin2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm): 17-20 Sept. 2024, Oslo, Norway, 2024
- Visibility Graphs-Based Time Series Segmentation With Louvain Community DetectionZbornik triintridesete mednarodne Elektrotehniške in računalniške konference ERK 2024: Portorož, Slovenija, 26. - 27. september 2024, 2024
- O-RAN AI/ML Workflow Architecture and FrameworkZbornik triintridesete mednarodne Elektrotehniške in računalniške konference ERK 2024: Portorož, Slovenija, 26. - 27. september 2024, 2024
- Visibility Graph-Based Wireless Anomaly Detection for Digital Twin Edge NetworksIEEE open journal of the Communications Society, 2024
- Explainable Semantic Wireless Anomaly Characterization for Digital TwinsComputer Networks, 2024
- Energy Efficient Deep Multi-Label on/OFF Classification of Low Frequency Metered Home AppliancesIEEE access, 2024
- CARMEL: Capturing Spatio-Temporal Correlations via Time-Series Sub-Window Imaging for Home Appliance ClassificationEngineering applications of artificial intelligence, 2024
- An Overview and Solution for Democratizing AI Workflows at the Network Edge2024
- Natural Language Interaction With a Household Electricity Knowledge-Based Digital Twin2024
- Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph2024
- Self-Supervised Learning for Clustering of Wireless Spectrum ActivityComputer Communications, 2023
- Deep Feature Learning for Wireless Spectrum DataIEEE International Mediterranean Conference on Communications and Networking (IEEE MEDITCOM 2023): 4-7 September 2023 in Dubrovnik, Croatia, 2023
- GNN for Wireless Link Anomaly DetectionIEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS): May 20, 2023 in Hoboken, New Jersey, USA, 2023
- Area Under Time Series Transformation for Home Appliance Classification2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob): 21-23 June 2023, Montreal, Canada, 2023
- Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob): 21-23 June 2023, Montreal, Canada, 2023
- Feature Management for Machine Learning Operation Pipelines in AI Native NetworksBalkanCom 2023, 2023 International Balkan Conference on Communications and Networking (BalkanCom) took place 5-8 June 2023 in İstanbul, Turkey, 2023
- XAI for Self-Supervised Clustering of Wireless Spectrum ActivityBalkanCom 2023, 2023 International Balkan Conference on Communications and Networking (BalkanCom) took place 5-8 June 2023 in İstanbul, Turkey, 2023
- Graph Neural Networks Based Anomalous RSSI DetectionBalkanCom 2023, 2023 International Balkan Conference on Communications and Networking (BalkanCom) took place 5-8 June 2023 in İstanbul, Turkey, 2023
- Machine Vision Based Wireless Link Layer Anomaly CharacterizationNetAISys’23: Proceedings of the First International Workshop on Networked AI Systems, 2023
- Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification2023 IEEE Wireless Communications and Networking Conference (WCNC): proceedings, 2023
- Resource-Aware Time Series Imaging Classification for Wireless Link Layer AnomaliesIEEE transactions on neural networks and learning systems, 2023
- Deep Feature Learning for Wireless Spectrum Data2023
- XAI for Self-Supervised Clustering of Wireless Spectrum Activity2023
- Dealing With Zero-Inflated Data: Achieving SOTA With a Two-Fold Machine Learning Approach2023
- LOG-a-TEC Testbed Outdoor Fingerprinting Localization Using BLE BeaconsProceedings of the ... Electrotechnical and Computer Science Conference, 2022
- Towards Sustainable Deep Learning for Wireless Fingerprinting LocalizationICC 2022 - IEEE International Conference on Communications: 16-20 May 2022, 2022
- LOG-a TEC Testbed Outdoor Localization Using BLE BeaconsBalkanCom 2022, 2022 International Balkan Conference on Communications and Networking (BalcanCom), 22-24 August, Sarajevo, Bosnia and Hercegovina, 2022
- Towards Sustainable Deep Learning for Wireless Fingerprinting Localization2022
- On Designing Data Models for Energy Feature Stores2022
- Resource-Aware Deep Learning for Wireless Fingerprinting Localization2022
- Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS2022
- Learning to Automatically Identify Home AppliancesOdkrivanje znanja in podatkovna skladišča - SiKDD: 4. oktober 2021, 4 October 2021, Ljubljana, Slovenia, 2021
- A Deep Learning Model for Anomalous Wireless Link Detection17th 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 ClassifierProceedings of the ... Electrotechnical and Computer Science Conference, 2021
- Learning to Detect Anomalous Wireless Links in IoT NetworksIEEE access, 2020
- Spremljanje Satelitov GPS v Vidnem Polju Na Osnovi Modula NEO-6MProceedings of the ... Electrotechnical and Computer Science Conference, 2020
- Using CNNs With Long-Short-Term Memory for Recognition of WritingZbornik sedemindvajsete mednarodne Elektrotehniške in računalniške konference ERK 2018, 2018