Enriching Artificial Intelligence Explanations with Knowledge Fragments

Autor: Jože Rožanec, Elena Trajkova, Inna Novalija, Patrik Zajec, Klemen Kenda, Blaž Fortuna, Dunja Mladenić

Publikováno v: Future Internet, Vol 14, Iss 5, p 134 (2022)

Artificial intelligence models are increasingly used in manufacturing to inform decision making. Responsible decision making requires accurate forecasts and an understanding of the models’ behavior. Furthermore, the insights into the models’ rati

Externí odkaz: https://doaj.org/article/b203225d56394d7aa1e980164d888783

Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model

Autor: Kostas Kalaboukas, Joze Rožanec, Aljaž Košmerlj, Dimitris Kiritsis, George Arampatzis

Publikováno v: Applied Sciences, Vol 11, Iss 9, p 4103 (2021)

Supply chain agility and resilience are key factors for the success of manufacturing companies in their attempt to respond to dynamic changes. The circular economy, the need for optimized material flows, ad-hoc responses and personalization are some

Externí odkaz: https://doaj.org/article/bdc721883b624a16bfaa3f22710e29a4

Semi-Supervised Event Predictions with Graph Networks

Autor: Peter Nemec, Gregor Leban, Joze Rozanec, Marko Grobelnik

Publikováno v: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::605f8dd3a00353f9a9c1cb5dc46c417b
https://doi.org/10.1145/3578245.3585332

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning

Autor: Joze Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman

Publikováno v: Rozanec, J, Cochez, M, Van Bakel, R, Elvesæter, B & Roman, D 2023, Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning . in ICPE 2023 Companion : Companion of the 2023 ACM/SPEC International Conference on Performance Engineering . Association for Computing Machinery, Inc, pp. 251-252, 14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023, Coimbra, Portugal, 15/04/23 . https://doi.org/10.1145/3578245.3585338
ICPE 2023 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 251-252
STARTPAGE=251;ENDPAGE=252;TITLE=ICPE 2023 Companion

Graphs can represent various phenomena and are increasingly used to tackle complex problems. Among the challenges associated with graph processing is the ability to analyze and mine massive-scale graphs. While the massive scale is usually associated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a603145eb93dafabfb3c9eb536ddff6a
https://hdl.handle.net/1871.1/e13ad292-fc79-4099-b7e1-6cfeec784972