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ORCIDCarolina Fortuna
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Publications
- 2024
[j22]Anze Pirnat
, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Carolina Fortuna:
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances. IEEE Access 12: 51966-51981 (2024)- [j21]Blaz Bertalanic, Carolina Fortuna:
CARMEL: Capturing spatio-temporal correlations via time-series sub-window imaging for home appliance classification. Eng. Appl. Artif. Intell. 127(Part B): 107318 (2024) - 2023
- [j20]Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic:
Self-supervised learning for clustering of wireless spectrum activity. Comput. Commun. 212: 353-365 (2023) - [j18]Blaz Bertalanic, Marko Meza, Carolina Fortuna:
Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies. IEEE Trans. Neural Networks Learn. Syst. 34(10): 8031-8043 (2023) - [c34]Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna:
GNN for Wireless Link Anomaly Detection. INFOCOM Workshops 2023: 1-2 - [c32]Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic:
Deep Feature Learning for Wireless Spectrum Data. MeditCom 2023: 121-126 - [c31]Blaz Bertalanic, Carolina Fortuna:
Graph Isomorphism Networks for Wireless Link Layer Anomaly Classification. WCNC 2023: 1-6 - [c30]Leo Ogrizek, Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna:
Area Under Time Series Transformation for Home Appliance Classification. WiMob 2023: 78-83 - [c29]Gregor Cerar, Blaz Bertalanic, Mihael Mohorcic, Carolina Fortuna:
Learning to Detect Wireless Spectrum Occupancy Using Clustering Approaches. WiMob 2023: 143-148 - [i17]Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic:
XAI for Self-supervised Clustering of Wireless Spectrum Activity. CoRR abs/2305.10060 (2023) - [i16]Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Carolina Fortuna:
Towards Sustainable Deep Learning for Multi-Label Classification on NILM. CoRR abs/2307.09244 (2023) - [i15]Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic:
Deep Feature Learning for Wireless Spectrum Data. CoRR abs/2308.03530 (2023) - 2022
- [c28]Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Marko Meza, Carolina Fortuna:
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization. ICC 2022: 3208-3213 - [i14]Anze Pirnat, Blaz Bertalanic, Gregor Cerar, Mihael Mohorcic, Marko Meza, Carolina Fortuna:
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization. CoRR abs/2201.09071 (2022) - [i13]Gregor Cerar, Blaz Bertalanic, Anze Pirnat, Andrej Campa, Carolina Fortuna:
On Designing Data Models for Energy Feature Stores. CoRR abs/2205.04267 (2022) - [i12]Ljupcho Milosheski, Gregor Cerar, Blaz Bertalanic, Carolina Fortuna, Mihael Mohorcic:
Self-supervised Learning for Clustering of Wireless Spectrum Activity. CoRR abs/2210.02899 (2022) - [i10]Gregor Cerar, Blaz Bertalanic, Carolina Fortuna:
Resource-aware Deep Learning for Wireless Fingerprinting Localization. CoRR abs/2211.01759 (2022) - 2021
- [c23]Blaz Bertalanic, Halil Yetgin, Gregor Cerar, Carolina Fortuna:
A Deep Learning Model for Anomalous Wireless Link Detection. WiMob 2021: 265-270 - [i7]Blaz Bertalanic, Marko Meza, Carolina Fortuna:
Time Series Imaging for Link Layer Anomaly Classification in Wireless Networks. CoRR abs/2104.00972 (2021) - 2020
- [j15]Gregor Cerar, Halil Yetgin, Blaz Bertalanic, Carolina Fortuna:
Learning to Detect Anomalous Wireless Links in IoT Networks. IEEE Access 8: 212130-212155 (2020)
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