26 citations · 35 across the 6 of their papers we have counts for
10 papers
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70
This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…
Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques
Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos +3
Industry 4.0 aims to optimize the manufacturing environment by leveraging new technological advances, such as new sensing capabilities and artificial intelligence. The DRAEM techni…
Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection
Jože M. Rožanec, Patrik Zajec, Spyros Theodoropoulos +3
Quality control is a crucial activity performed by manufacturing companies to ensure their products conform to the requirements and specifications. The introduction of artificial i…
Active Learning and Novel Model Calibration Measurements for Automated Visual Inspection in Manufacturing
Jože M. Rožanec, Luka Bizjak, Elena Trajkova +4
Quality control is a crucial activity performed by manufacturing enterprises to ensure that their products meet quality standards and avoid potential damage to the brand's reputati…
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…
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jože M. Rožanec, Inna Novalija, Patrik Zajec +17
Human-centricity is the core value behind the evolution of manufacturing towards Industry 5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness,…
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…
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.…