8 papers
A Configuration-First Framework for Reproducible, Low-Code Machine Learning: a Localization Use Case
Tim Strnad, Blaž Bertalanič, Carolina Fortuna
As machine learning underpins more critical applications, the value of a reported result depends on whether it can be compared and repeated. In practice, this remains difficult: re…
JaGuard: Position Error Correction of GNSS Jamming with Deep Temporal Graphs
Ivana Kesić, Aljaž Blatnik, Carolina Fortuna +1
Global Navigation Satellite Systems (GNSS) face growing disruption from intentional jamming, undermining critical infrastructure where precise positioning and timing are essential.…
Data Model Design for Explainable Machine Learning-based Electricity Applications
Carolina Fortuna, Gregor Cerar, Blaz Bertalanic +2
The transition from traditional power grids to smart grids, significant increase in the use of renewable energy sources, and soaring electricity prices has triggered a digital tran…
A Representation Learning Approach to Feature Drift Detection in Wireless Networks
Athanasios Tziouvaras, Blaz Bertalanic, George Floros +3
AI is foreseen to be a centerpiece in next generation wireless networks enabling enabling ubiquitous communication as well as new services. However, in real deployment, feature dis…
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series Classification
Irina Barašin, Blaž Bertalanič, Mihael Mohorčič +1
Time series classification is a relevant step supporting decision-making processes in various domains, and deep neural models have shown promising performance in this respect. Desp…
An Overview and Solution for Democratizing AI Workflows at the Network Edge
Andrej Čop, Blaž Bertalanič, Carolina Fortuna
With the process of democratization of the network edge, hardware and software for networks are becoming available to the public, overcoming the confines of traditional cloud provi…