6 citations · 21 across the 9 of their papers we have counts for
15 papers
Human in the AI loop via xAI and Active Learning for Visual Inspection
Jože M. Rožanec, Elias Montini, Vincenzo Cutrona +7
Industrial revolutions have historically disrupted manufacturing by introducing automation into production. Increasing automation reshapes the role of the human worker. Advances in…
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…
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks
Jože M. Rožanec, Dimitrios Papamartzivanos, Entso Veliou +4
We propose using a two-layered deployment of machine learning models to prevent adversarial attacks. The first layer determines whether the data was tampered, while the second laye…
Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study
Bor Brecelj, Beno Šircelj, Jože M. Rožanec +2
In this research, we develop machine learning models to predict future sensor readings of a waste-to-fuel plant, which would enable proactive control of the plant's operations. We…
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…
Streaming Machine Learning and Online Active Learning for Automated Visual Inspection
Jože M. Rožanec, Elena Trajkova, Paulien Dam +2
Quality control is a key activity performed by manufacturing companies to verify product conformance to the requirements and specifications. Standardized quality control ensures th…
Active Learning for Automated Visual Inspection of Manufactured Products
Elena Trajkova, Jože M. Rožanec, Paulien Dam +2
Quality control is a key activity performed by manufacturing enterprises to ensure products meet quality standards and avoid potential damage to the brand's reputation. The decreas…
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.…
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…
News Across Languages - Cross-Lingual Document Similarity and Event Tracking
Jan Rupnik, Andrej Muhic, Gregor Leban +3
In today's world, we follow news which is distributed globally. Significant events are reported by different sources and in different languages. In this work, we address the proble…
User Modeling Combining Access Logs, Page Content and Semantics
Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
The paper proposes an approach to modeling users of large Web sites based on combining different data sources: access logs and content of the accessed pages are combined with seman…