Towards Actionable Cognitive Digital Twins for Manufacturing. - Joze M. Rozanec; Jinzhi Lu; Aljaz Kosmerlj; Klemen Kenda; Kiritsis Dimitris; Viktor Jovanoski; Jan Rupnik; Mario Karlovcec; Blaz Fortuna (SeDiT@ESWC, 2020)

Enhancing Cognition for Digital Twins. - Pavlos Eirinakis; Kostas Kalaboukas; Stavros Lounis; Ioannis Mourtos; Joze M. Rozanec; Nenad Stojanovic; Georgios Zois (ICE/ITMC, 2020)

XAI-KG: Knowledge Graph to Support XAI and Decision-Making in Manufacturing. - Joze M. Rozanec; Patrik Zajec; Klemen Kenda; Inna Novalija; Blaz Fortuna; Dunja Mladenic (CAiSE Workshops, 2021)

STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems. - Joze M. Rozanec; Patrik Zajec; Klemen Kenda; Inna Novalija; Blaz Fortuna; Dunja Mladenic; Entso Veliou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Sofia-Anna Menesidou; Rubén Alonso; Nino Cauli; et al. (APMS (4), 2021)

Towards Active Learning Based Smart Assistant for Manufacturing. - Patrik Zajec; Joze M. Rozanec; Inna Novalija; Blaz Fortuna; Dunja Mladenic; Klemen Kenda (APMS (4), 2021)

Explainable Demand Forecasting: A Data Mining Goldmine. - Joze M. Rozanec (WWW (Companion Volume), 2021)

Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand. - Joze M. Rozanec; Dunja Mladenic (CoRR, 2021)

Semantic XAI for contextualized demand forecasting explanations. - Joze M. Rozanec; Dunja Mladenic (CoRR, 2021)

A Review of Explainable Artificial Intelligence in Manufacturing. - Georgios Sofianidis; Joze M. Rozanec; Dunja Mladenic; Dimosthenis Kyriazis (CoRR, 2021)

Knowledge Modelling and Active Learning in Manufacturing. - Joze M. Rozanec; Inna Novalija; Patrik Zajec; Klemen Kenda; Dunja Mladenic (CoRR, 2021)

Active Learning for Automated Visual Inspection of Manufactured Products. - Elena Trajkova; Joze M. Rozanec; Paulien Dam; Blaz Fortuna; Dunja Mladenic (CoRR, 2021)

Streaming Machine Learning and Online Active Learning for Automated Visual Inspection. - Joze M. Rozanec; Elena Trajkova; Paulien Dam; Blaz Fortuna; Dunja Mladenic (CoRR, 2021)

Help Me Learn! Architecture and Strategies to Combine Recommendations and Active Learning in Manufacturing. - Patrik Zajec; Joze M. Rozanec; Elena Trajkova; Inna Novalija; Klemen Kenda; Blaz Fortuna; Dunja Mladenic (Inf., 2021)

Neural Dynamic Movement Primitives - a survey. - Joze M. Rozanec; Bojan Nemec (CoRR, 2022)

Active Learning and Approximate Model Calibration for Automated Visual Inspection in Manufacturing. - Joze M. Rozanec; Luka Bizjak; Elena Trajkova; Patrik Zajec; Jelle Keizer; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Forecasting Sensor Values in Waste-To-Fuel Plants: a Case Study. - Bor Brecelj; Beno Sircelj; Joze M. Rozanec; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks. - Joze M. Rozanec; Dimitrios Papamartzivanos; Entso Veliou; Theodora Anastasiou; Jelle Keizer; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Synthetic Data Augmentation Using GAN For Improved Automated Visual Inspection. - Joze M. Rozanec; Patrik Zajec; Spyros Theodoropoulos; Erik Koehorst; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Robust Anomaly Map Assisted Multiple Defect Detection with Supervised Classification Techniques. - Joze M. Rozanec; Patrik Zajec; Spyros Theodoropoulos; Erik Koehorst; Blaz Fortuna; Dunja Mladenic (CoRR, 2022)

Enriching Artificial Intelligence Explanations with Knowledge Fragments. - Joze M. Rozanec; Elena Trajkova; Inna Novalija; Patrik Zajec; Klemen Kenda; Blaz Fortuna; Dunja Mladenic (Future Internet, 2022)

Actionable cognitive twins for decision making in manufacturing. - Joze M. Rozanec; Jinzhi Lu; Jan Rupnik; Maja Skrjanc; Dunja Mladenic; Blaz Fortuna; Xiaochen Zheng; Dimitris Kiritsis (Int. J. Prod. Res., 2022)

Knowledge graph-based rich and confidentiality preserving Explainable Artificial Intelligence (XAI). - Joze M. Rozanec; Blaz Fortuna; Dunja Mladenic (Inf. Fusion, 2022)

Cognitive Digital Twins for Resilience in Production: A Conceptual Framework. - Pavlos Eirinakis; Stavros Lounis; Stathis Plitsos; George Arampatzis; Kostas Kalaboukas; Klemen Kenda; Jinzhi Lu; Joze M. Rozanec; Nenad Stojanovic (Inf., 2022)

The Graph-Massivizer Approach Toward a European Sustainable Data Center Digital Twin. - Martin Molan; Junaid Ahmed Khan; Andrea Bartolini; Roberta Turra; Giorgio Pedrazzi; Michael Cochez; Alexandru Iosup; Dumitru Roman; Joze M. Rozanec; Ana Lucia Varbanescu; Radu Prodan (COMPSAC, 2023)

Machine-Learning-Based Soft Sensors for LPG Distillation Columns Quality Monitoring: Comparing Strategies for Zero-Inflated Data. - Joze M. Rozanec; Beno Sircelj; Melike K. Onat; Nikolaos Sarantinoudis; George Arampatzis; Blaz Fortuna; Dunja Mladenic (ICECET, 2023)

Adaptive explainable artificial intelligence for visual defect inspection. - Joze M. Rozanec; Beno Sircelj; Blaz Fortuna; Dunja Mladenic (ISM, 2023)

Semi-Supervised Event Predictions with Graph Networks. - Peter Nemec; Gregor Leban; Joze M. Rozanec; Marko Grobelnik (ICPE (Companion), 2023)

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning. - Joze M. Rozanec; Michael Cochez; Ruud van Bakel; Brian Elvesæter; Dumitru Roman (ICPE (Companion), 2023)

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage. - Joze M. Rozanec; Brian Elvesæter; Dumitru Roman; Marko Grobelnik; Peter Haase 001 (ICPE (Companion), 2023)

AI, What Does the Future Hold for Us? Automating Strategic Foresight. - Joze M. Rozanec; Peter Nemec; Gregor Leban; Marko Grobelnik (ICPE (Companion), 2023)

Human in the AI loop via xAI and Active Learning for Visual Inspection. - Joze M. Rozanec; Elias Montini; Vincenzo Cutrona; Dimitrios Papamartzivanos; Timotej Klemencic; Blaz Fortuna; Dunja Mladenic; Entso Veliou; Thanassis Giannetsos; Christos Emmanouilidis (CoRR, 2023)

Dealing with zero-inflated data: achieving SOTA with a two-fold machine learning approach. - Joze M. Rozanec; Gasper Petelin; João Pita Costa; Blaz Bertalanic; Gregor Cerar; Marko Gucek; Gregor Papa; Dunja Mladenic (CoRR, 2023)

Human-centric artificial intelligence architecture for industry 5.0 applications. - Joze M. Rozanec; Inna Novalija; Patrik Zajec; Klemen Kenda; Hooman Tavakoli Ghinani; Sungho Suh; Entso Veliou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Sofia-Anna Menesidou; Rubén Alonso; Nino Cauli; et al. (Int. J. Prod. Res., 2023)

Graph Sampling Quality Prediction for Algorithm Recommendation. - S. Haleh S. Dizaji; Reza Farahani; Joze M. Rozanec; Dragi Kimovski; Ahmet Soylu; Radu Prodan (HiPC, 2024)

Back to the Future: predicting causal relationships influencing oil prices. - Joze M. Rozanec; Beno Sircelj; Michael Cochez; Gregor Leban (Tiny Papers @ ICLR, 2024)

Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach. - Roy Krumpak; Joze M. Rozanec; Martin Molan; Matteo Angelinelli; Andrea Bartolini (SC Workshops, 2024)

An Extensive Characterization of Graph Sampling Algorithms. - S. Haleh S. Dizaji; Joze M. Rozanec; Reza Farahani; Dumitru Roman; Radu Prodan (ICPE (Companion), 2024)

Go-Network: a graph sampling library written in Go. - Joze M. Rozanec; Matias Rozanec (ICPE (Companion), 2024)

Counterfactual Causal Inference in Natural Language with Large Language Models. - Gaël Gendron; Joze M. Rozanec; Michael Witbrock; Gillian Dobbie (CoRR, 2024)

Few-shot learning for defect detection in manufacturing. - Patrik Zajec; Joze M. Rozanec; Spyros Theodoropoulos; Mihail Fontul; Erik Koehorst; Blaz Fortuna; Dunja Mladenic (Int. J. Prod. Res., 2024)

Worker Activity Recognition in Manufacturing Line Using Near-Body Electric Field. - Sungho Suh; Vítor Fortes Rey; Sizhen Bian; Yu-Chi Huang; Joze M. Rozanec; Hooman Tavakoli Ghinani; Bo Zhou 005; Paul Lukowicz (IEEE Internet Things J., 2024)

Active learning and novel model calibration measurements for automated visual inspection in manufacturing. - Joze M. Rozanec; Luka Bizjak; Elena Trajkova; Patrik Zajec; Jelle Keizer; Blaz Fortuna; Dunja Mladenic (J. Intell. Manuf., 2024)

On-the-fly image-level oversampling for imbalanced datasets of manufacturing defects. - Spyros Theodoropoulos; Patrik Zajec; Joze M. Rozanec; Dimosthenis Kyriazis; Panayiotis Tsanakas (Mach. Learn., 2024)

Learning anomalies from graph: predicting compute node failures on HPC clusters. - Joze M. Rozanec; Roy Krumpak; Martin Molan; Andrea Bartolini (NLDL, 2025)

Dealing with zero-inflated data: Achieving state-of-the-art with a two-fold machine learning approach. - Joze M. Rozanec; Gasper Petelin; João Pita Costa; Gregor Cerar; Blaz Bertalanic; Marko Gucek; Gregor Papa; Dunja Mladenic (Eng. Appl. Artif. Intell., 2025)

Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds. - Gaël Gendron; Joze M. Rozanec; Michael Witbrock; Gillian Dobbie (CoRR, 2025)

Enhancing robustness to novel visual defects through StyleGAN latent space navigation: a manufacturing use case. - Spyros Theodoropoulos; Dimitrios Dardanis; Georgios Makridis; Patrik Zajec; Joze M. Rozanec; Dimosthenis Kyriazis; Panayiotis Tsanakas (J. Intell. Manuf., 2025)