92 citations · 258 across the 19 of their papers we have counts for
6 papers · 1 filter
Energy Efficient Deep Multi-Label ON/OFF Classification of Low Frequency Metered Home Appliances
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +2
Non-intrusive load monitoring (NILM) is the process of obtaining appliance-level data from a single metering point, measuring total electricity consumption of a household or a busi…
XAI for Self-supervised Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
The so-called black-box deep learning (DL) models are increasingly used in classification tasks across many scientific disciplines, including wireless communications domain. In thi…
Dimensionality Expansion of Load Monitoring Time Series and Transfer Learning for EMS
Blaž Bertalanič, Jakob Jenko, Carolina Fortuna
Energy management systems (EMS) rely on (non)-intrusive load monitoring (N)ILM to monitor and manage appliances and help residents be more energy efficient and thus more frugal. Th…
Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
Anže Pirnat, Blaž Bertalanič, Gregor Cerar +3
Location based services, already popular with end users, are now inevitably becoming part of new wireless infrastructures and emerging business processes. The increasingly popular…
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies
Blaž Bertalanič, Marko Meža, Carolina Fortuna
The number of end devices that use the last mile wireless connectivity is dramatically increasing with the rise of smart infrastructures and require reliable functioning to support…
Learning to Fairly Classify the Quality of Wireless Links
Gregor Cerar, Halil Yetgin, Mihael Mohorčič +1
Machine learning (ML) has been used to develop increasingly accurate link quality estimators for wireless networks. However, more in-depth questions regarding the most suitable cla…