9 citations · 25 across the 8 of their papers we have counts for
11 papers
An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures
Blaz Bertalanic, Carolina Fortuna
Replacing one LLM agent with a collaborating team can raise accuracy, but whether scaling the team helps, and which architecture to scale, is unclear. Sweeping eight agent orchestr…
Multi-agent Scaling Across Disjunctive and Compensatory Tasks
Carolina Fortuna, Blaz Bertalanic
Multi-agent LLM systems are often expected to improve as team size increases, yet the scaling behavior may depend on task structure. Our central contribution is to introduce Steine…
Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum
Carolina Fortuna, Vid Hanžel, Tim Strnad +1
As telecommunication networks evolve toward autonomous 5G-Advanced and 6G operations, agentic artificial intelligence (AI) workflows, where large language models (LLMs) execute mul…
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…
JaGNet: Detection, Identification and Position Error Correction of GNSS Jamming with Deep Temporal Graphs
Ivana Kesić, Aljaž Blatnik, Carolina Fortuna +1
Global Navigation Satellite Systems (GNSS) underpin location-dependent mobile computing, such as railway signaling, public transport and fleet tracking, yet face growing disruption…
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…
Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin
Carolina Fortuna, Vid Hanžel, Blaž Bertalanič
Domain specific digital twins, representing a digital replica of various segments of the smart grid, are foreseen as able to model, simulate, and control the respective segments. A…
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph
Vid Hanžel, Blaž Bertalanič, Carolina Fortuna
Due to growing population and technological advances, global electricity consumption, and consequently also CO2 emissions are increasing. The residential sector makes up 25% of glo…