6 citations · 11 across the 5 of their papers we have counts for
9 papers
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Jože M. Rožanec, Dimitrios Papamartzivanos, Entso Veliou +4
We propose using a two-layered deployment of machine learning models to prevent adversarial attacks. The first layer determines whether the data was tampered, while the second laye…
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
Bor Brecelj, Beno Šircelj, Jože M. Rožanec +2
In this research, we develop machine learning models to predict future sensor readings of a waste-to-fuel plant, which would enable proactive control of the plant's operations. We…
Enriching Artificial Intelligence Explanations with Knowledge Fragments
Jože M. Rožanec, Elena Trajkova, Inna Novalija +4
Artificial Intelligence models are increasingly used in manufacturing to inform decision-making. Responsible decision-making requires accurate forecasts and an understanding of the…
Active Learning for Automated Visual Inspection of Manufactured Products
Elena Trajkova, Jože M. Rožanec, Paulien Dam +2
Quality control is a key activity performed by manufacturing enterprises to ensure products meet quality standards and avoid potential damage to the brand's reputation. The decreas…
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing
Jože M. Rožanec, Patrik Zajec, Klemen Kenda +3
The increasing adoption of artificial intelligence requires accurate forecasts and means to understand the reasoning of artificial intelligence models behind such a forecast. Expla…
STARdom: an architecture for trusted and secure human-centered manufacturing systems
Jože M. Rožanec, Patrik Zajec, Klemen Kenda +14
There is a lack of a single architecture specification that addresses the needs of trusted and secure Artificial Intelligence systems with humans in the loop, such as human-centere…