92 citations · 201 across the 15 of their papers we have counts for
4 papers · 1 filter
Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach
Jože M. Rožanec, Gašper Petelin, João Costa +5
In many cases, a machine learning model must learn to correctly predict a few data points with particular values of interest in a broader range of data where many target values are…
Deep Feature Learning for Wireless Spectrum Data
Ljupcho Milosheski, Gregor Cerar, Blaž Bertalanič +2
In recent years, the traditional feature engineering process for training machine learning models is being automated by the feature extraction layers integrated in deep learning ar…
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…