| Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning M Lovrić, K Pavlović, M Vuković, SK Grange, M Haberl, R Kern Environmental pollution 274, 115900, 2021 | 95 | 2021 |
| Causal discovery in manufacturing: A structured literature review M Vuković, S Thalmann Journal of Manufacturing and Materials Processing 6 (1), 10, 2022 | 78 | 2022 |
| Data analytics for industrial process improvement a vision paper S Thalmann, J Mangler, T Schreck, C Huemer, M Streit, F Pauker, ... 2018 IEEE 20th Conference on Business Informatics (CBI) 2, 92-96, 2018 | 37 | 2018 |
| State-of-the-art explainability methods with focus on visual analytics showcased by glioma classification M Gashi, M Vuković, N Jekic, S Thalmann, A Holzinger, C Jean-Quartier, ... BioMedInformatics 2 (1), 139-158, 2022 | 27 | 2022 |
| Machine learning and meteorological normalization for assessment of particulate matter changes during the COVID-19 lockdown in Zagreb, Croatia M Lovrić, M Antunović, I Šunić, M Vuković, S Kecorius, M Kröll, I Bešlić, ... International journal of environmental research and public health 19 (11), 6937, 2022 | 18 | 2022 |
| Towards flexible and cognitive production—Addressing the production challenges M Abdul Hadi, D Kraus, A Kajmakovic, J Suschnigg, O Guiza, M Gashi, ... Applied Sciences 12 (17), 8696, 2022 | 9 | 2022 |
| Industrial Production Process Improvement by a Process Engine Visual Analytics Dashboard. J Suschnigg, F Ziessler, M Brillinger, M Vukovic, J Mangler, T Schreck, ... HICSS, 1-10, 2020 | 8 | 2020 |
| Local machine learning model-based multi-objective optimization for managing system interdependencies in production: A case study from the ironmaking industry M Vuković, G Koutroulis, B Mutlu, P Krahwinkler, S Thalmann Engineering Applications of Artificial Intelligence 133, 108099, 2024 | 4 | 2024 |
| A Forecasting Model-Based Discovery of Causal Links of Key Influencing Performance Quality Indicators for Sinter Production Improvement M Vukovic, V Dhanoa, M Jäger, C Walchshofer, J Küng, P Krahwinkler, ... 2020 AISTech Conference Proceedings, 2028-2040, 2020 | 4 | 2020 |
| Interpretability of causal discovery in tracking deterioration in a highly dynamic process A Choudhary, M Vuković, B Mutlu, M Haslgrübler, R Kern Sensors 24 (12), 3728, 2024 | 2 | 2024 |
| Air pollution 01.2014-05.2020 (including COVID-19 lockdown) data from Graz, Austria M Lovric, K Pavlovic, R Kern, SK Grange, M Vukovic, M Haberl | 2 | 2020 |
| Insignificant Changes in Particulate Matter during the COVID-19 Lockdown: A Machine Learning Study in Zagreb, Croatia M Lovrić, M Antunović, I Šunić, M Vuković, S Kecorius, M Kröll, I Bešlić, ... 7th World Congress on Civil, Structural, and Environmental Engineering, CSEE …, 2022 | 1 | 2022 |
| Interpretable Deep Learning Techniques and Meta Information for Automated Decision Making in Ironmaking Plants M Vukovic, D Bettinger, G Koutroulis, P Krahwinkler, B Mutlu, M Schaler, ... Iron & Steel Technology Conference and Exposition: AISTech 2022, 125-135, 2022 | 1 | 2022 |
| Unveiling Operational Dynamics: Causally Interpretable Clustering for Understanding the Usage of Plastic Injection Molding Machines M Vuković, P Haferlbauer, B Mutlu, S Thalmann 2024 26th International Conference on Business Informatics (CBI), 218-227, 2024 | | 2024 |
| An Approach for Secure Data Transmission in a Distributed Production Environment M Vuković, C Kittl, J Mangler, S Thalmann | | 2019 |
| Understanding Industrial Processes using Process-Driven Visual Analytics J Suschnigg, S Thalmann, M Vukovic, F Ziessler, J Mangler, T Schreck Proceedings of the 10th International Conference on Professional Knowledge …, 2019 | | 2019 |
| Data Analytics for Industrial Process Improvement A Vision Paper S Rinderle-Ma, J Mangler, S Thalmann, T Schreck, C Huemer, M Streit, ... | | 2018 |
| Implementacija samoodrživog sustava za detekciju i praćenje aktivnosti osoba M Vuković University of Zagreb. Faculty of Organization and Informatics Varaždin …, 2016 | | 2016 |
| AIS Electronic Library (AISeL) M Vuković, C Kittl, J Mangler, S Thalmann | | |
Josef SuschniggPro2Future GmbHПотвърден имейл адрес: pro2future.at