6 citations · 11 across the 5 of their papers we have counts for
6 papers · 1 filter
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…
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…
Towards Active Learning Based Smart Assistant for Manufacturing
Patrik Zajec, Jože M. Rožanec, Inna Novalija +3
A general approach for building a smart assistant that guides a user from a forecast generated by a machine learning model through a sequence of decision-making steps is presented.…
Actionable Cognitive Twins for Decision Making in Manufacturing
Jože M. Rožanec, Jinzhi Lu, Jan Rupnik +5
Actionable Cognitive Twins are the next generation Digital Twins enhanced with cognitive capabilities through a knowledge graph and artificial intelligence models that provide insi…