Joze M. Rozanec

Orcid: 0000-0002-3665-639X

Affiliations:
  • Jozef Stefan Institute, Ljubljana, Slovenia


According to our database1, Joze M. Rozanec authored at least 39 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects.
Mach. Learn., July, 2024

Active learning and novel model calibration measurements for automated visual inspection in manufacturing.
J. Intell. Manuf., June, 2024

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field.
IEEE Internet Things J., April, 2024

Few-shot learning for defect detection in manufacturing.
Int. J. Prod. Res., 2024

Counterfactual Causal Inference in Natural Language with Large Language Models.
CoRR, 2024

Go-Network: a graph sampling library written in Go.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

An Extensive Characterization of Graph Sampling Algorithms.
Proceedings of the Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Back to the Future: predicting causal relationships influencing oil prices.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023
Human-centric artificial intelligence architecture for industry 5.0 applications.
Int. J. Prod. Res., October, 2023

Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach.
CoRR, 2023

Human in the AI loop via xAI and Active Learning for Visual Inspection.
CoRR, 2023

AI, What Does the Future Hold for Us? Automating Strategic Foresight.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Semi-Supervised Event Predictions with Graph Networks.
Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin.
Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

2022
Cognitive Digital Twins for Resilience in Production: A Conceptual Framework.
Inf., 2022

Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI).
Inf. Fusion, 2022

Actionable cognitive twins for decision making in manufacturing.
Int. J. Prod. Res., 2022

Enriching Artificial Intelligence Explanations with Knowledge Fragments.
Future Internet, 2022

Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques.
CoRR, 2022

Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection.
CoRR, 2022

Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks.
CoRR, 2022

Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study.
CoRR, 2022

Active Learning and Approximate Model Calibration for Automated Visual Inspection in Manufacturing.
CoRR, 2022

Neural Dynamic Movement Primitives - a survey.
CoRR, 2022

2021
Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing.
Inf., 2021

Streaming Machine Learning and Online Active Learning for Automated Visual Inspection.
CoRR, 2021

Active Learning for Automated Visual Inspection of Manufactured Products.
CoRR, 2021

Knowledge Modelling and Active Learning in Manufacturing.
CoRR, 2021

A Review of Explainable Artificial Intelligence in Manufacturing.
CoRR, 2021

Semantic XAI for contextualized demand forecasting explanations.
CoRR, 2021

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand.
CoRR, 2021

Explainable Demand Forecasting: A Data Mining Goldmine.
Proceedings of the Companion of The Web Conference 2021, 2021

Towards Active Learning Based Smart Assistant for Manufacturing.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

XAI-KG: Knowledge Graph to Support XAI and Decision-Making in Manufacturing.
Proceedings of the Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28, 2021

2020
Enhancing Cognition for Digital Twins.
Proceedings of the 2020 IEEE International Conference on Engineering, 2020

Towards Actionable Cognitive Digital Twins for Manufacturing.
Proceedings of the International Workshop on Semantic Digital Twins co-located with the 17th Extended Semantic Web Conference, 2020


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