A Multilingual Benchmark to Capture Olfactory Situations over Time

no code implementations • LChange (ACL) 2022 • Stefano Menini, Teresa Paccosi, Sara Tonelli, Marieke van Erp, Inger Leemans, Pasquale Lisena, Raphael Troncy, William Tullett, Ali Hürriyetoğlu, Ger Dijkstra, Femke Gordijn, Elias Jürgens, Josephine Koopman, Aron Ouwerkerk, Sanne Steen, Inna Novalija, Janez Brank, Dunja Mladenic, Anja Zidar

We present a benchmark in six European languages containing manually annotated information about olfactory situations and events following a FrameNet-like approach.

Enriching Artificial Intelligence Explanations with Knowledge Fragments

no code implementations • 12 Apr 2022 • Jože M. Rožanec, Elena Trajkova, Inna Novalija, Patrik Zajec, Klemen Kenda, Blaž Fortuna, Dunja Mladenić

Artificial Intelligence models are increasingly used in manufacturing to inform decision-making.

Decision Making

Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications

no code implementations • 21 Mar 2022 • Jože M. Rožanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Ruben Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaž Fortuna, Dunja Mladenić, John Soldatos

Human-centricity is the core value behind the evolution of manufacturing towards Industry 5. 0.

Active Learning Decision Making +1

Knowledge Modelling and Active Learning in Manufacturing

no code implementations • 5 Jul 2021 • Jože M. Rožanec, Inna Novalija, d Patrik Zajec, Klemen Kenda, Dunja Mladenić

The increasing digitalization of the manufacturing domain requires adequate knowledge modeling to capture relevant information.

Active Learning Friction +1

XAI-KG: knowledge graph to support XAI and decision-making in manufacturing

no code implementations • 5 May 2021 • Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, Dunja Mladenić

We propose an ontology and knowledge graph to support collecting feedback regarding forecasts, forecast explanations, recommended decision-making options, and user actions.

Decision Making Explainable artificial intelligence +1

STARdom: an architecture for trusted and secure human-centered manufacturing systems

no code implementations • 2 Apr 2021 • Jože M. Rožanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaž Fortuna, Dunja Mladenić, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos

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-centered manufacturing systems at the core of the evolution towards Industry 5. 0.

Active Learning Decision Making +1

Towards Active Learning Based Smart Assistant for Manufacturing

no code implementations • 30 Mar 2021 • Patrik Zajec, Jože M. Rožanec, Inna Novalija, Blaž Fortuna, Dunja Mladenić, Klemen Kenda

The methodology can be extended to several use cases in manufacturing.

Active Learning BIG-bench Machine Learning +1