collaborators

5 papers

cs.AI2022

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…

cs.AI2021

Knowledge Modelling and Active Learning in Manufacturing

Jože M. Rožanec, Inna Novalija, d Patrik Zajec +2

The increasing digitalization of the manufacturing domain requires adequate knowledge modeling to capture relevant information. Ontologies and Knowledge Graphs provide means to mod…

cs.AI2021

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…

cs.AI2021

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…

cs.AI2021

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.…