activity
20112021
most citedPredicting complex user behavior from CDR based social networks

16 citations · 26 across the 3 of their papers we have counts for

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5 papers · 1 filter

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.AI20214 cited

Semantic XAI for contextualized demand forecasting explanations

Jože M. Rožanec, Dunja Mladenić

The paper proposes a novel architecture for explainable AI based on semantic technologies and AI. We tailor the architecture for the domain of demand forecasting and validate it on…

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.…

cs.AI2021

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…