| A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines D Ślęzak, M Grzegorowski, A Janusz, M Kozielski, SH Nguyen, M Sikora, ... Information Sciences 451, 112-133, 2018 | 74 | 2018 |
| DISESOR-decision support system for mining industry M Kozielski, M Sikora, Ł Wróbel 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 26 | 2015 |
| RuleXAI—A package for rule-based explanations of machine learning model D Macha, M Kozielski, Ł Wróbel, M Sikora SoftwareX 20, 101209, 2022 | 20 | 2022 |
| Regression rule learning for methane forecasting in coal mines M Kozielski, A Skowron, Ł Wróbel, M Sikora Beyond Databases, Architectures and Structures: 11th International …, 2015 | 20 | 2015 |
| Sensor-based predictive maintenance with reduction of false alarms—A case study in heavy industry M Hermansa, M Kozielski, M Michalak, K Szczyrba, Ł Wróbel, M Sikora Sensors 22 (1), 226, 2021 | 17 | 2021 |
| Decision support and maintenance system for natural hazards, processes and equipment monitoring M KozielsKi, M Sikora, Ł Wróbel Eksploatacja i Niezawodność 18 (2), 218-228, 2016 | 11 | 2016 |
| Multilevel conditional fuzzy c-means clustering of XML documents M Kozielski Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007 | 10 | 2007 |
| Improving the results and performance of clustering bit-encoded XML documents M Kozielski Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 60-64, 2006 | 10 | 2006 |
| Data on methane concentration collected by underground coal mine sensors M Kozielski, M Sikora, Ł Wróbel Data in brief 39, 107457, 2021 | 8 | 2021 |
| Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections—Upper Silesia pilot study J Mika, J Tobiasz, J Zyla, A Papiez, M Bach, A Werner, M Kozielski, ... Scientific reports 11 (1), 13580, 2021 | 8 | 2021 |
| Screening support system based on patient survey data—Case study on classification of initial, locally collected COVID-19 data J Henzel, J Tobiasz, M Kozielski, M Bach, P Foszner, A Gruca, M Kania, ... Applied Sciences 11 (22), 10790, 2021 | 7 | 2021 |
| A meta-learning approach to methane concentration value prediction M Kozielski Beyond Databases, Architectures and Structures. Advanced Technologies for …, 2016 | 7 | 2016 |
| Fuzzy clustering and gene ontology based decision rules for identification and description of gene groups A Gruca, M Kozielski, M Sikora Man-Machine Interactions, 141-149, 2009 | 7 | 2009 |
| Classification supporting COVID-19 diagnostics based on patient survey data J Henzel, J Tobiasz, M Kozielski, M Bach, P Foszner, A Gruca, M Kania, ... arXiv preprint arXiv:2011.12247, 2020 | 6 | 2020 |
| Soft approach to identification of cohesive clusters in two gene representations M Kozielski, A Gruca Procedia Computer Science 35, 281-289, 2014 | 5 | 2014 |
| Investigating human color harmony preferences using unsupervised machine learning P Skurowski, M Kozielski Conference on Colour in Graphics, Imaging, and Vision 6, 59-64, 2012 | 5 | 2012 |
| Contextual Explanations for Decision Support in Predictive Maintenance M Kozielski Applied Sciences 13 (18), 10068, 2023 | 4 | 2023 |
| A sensor data-driven decision support system for liquefied petroleum gas suppliers M Kozielski, J Henzel, Ł Wróbel, Z Łaskarzewski, M Sikora Applied Sciences 11 (8), 3474, 2021 | 4 | 2021 |
| Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation M Kozielski, J Henzel, J Tobiasz, A Gruca, P Foszner, J Zyla, M Bach, ... Bulletin of the Polish Academy of Sciences. Technical Sciences 69 (4), 2021 | 4 | 2021 |
| Application of RapidMiner and R environments to dangerous seismic events prediction K Dusza, D Korda, K Kozłowski, B Szwej, M Kozielski, M Michalak, ... 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 4 | 2016 |
