| Mapping industry 4.0 enabling technologies into United Nations sustainability development goals MM Mabkhot, P Ferreira, A Maffei, P Podrľaj, M M±dziel, D Antonelli, ... Sustainability 13 (5), 2560, 2021 | 82 | 2021 |
| The Use of Artificial Intelligence Methods to Assess the Effectiveness of Lean Maintenance Concept Implementation in Manufacturing Enterprises K Antosz, L Pasko, A Gola Applied Sciences 10 (21), 7922, 2020 | 54 | 2020 |
| The Use of Intelligent Systems to Support the Decision-Making Process in Lean Maintenance Management K Antosz, L Pasko, A Gola IFAC-PapersOnLine 52 (10), 148-153, 2019 | 51 | 2019 |
| Application of machine learning and rough set theory in lean maintenance decision support system development K Antosz, M Jasiulewicz-Kaczmarek, Ł Pa¶ko, C Zhang, S Wang Eksploatacja i Niezawodno¶ć 23 (4), 2021 | 36 | 2021 |
| Role of Academics in Transferring Knowledge and Skills on Artificial Intelligence, Internet of Things and Edge Computing G Dec, D Stadnicka, Ł Pa¶ko, M M±dziel, R Figliè, D Mazzei, M Tyrovolas, ... Sensors 22 (7), 2496, 2022 | 28 | 2022 |
| Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing Ł Pa¶ko, M M±dziel, D Stadnicka, G Dec, A Carreras-Coch, X Solé-Beteta, ... Sustainability 14 (6), 3312, 2022 | 24 | 2022 |
| Zastosowanie metod eksploracji danych do segmentacji rynków G Setlak, Ł Pa¶ko Studia Informatica 34 (2A), 311--323, 2013 | 9* | 2013 |
| The use of intelligent systems to support the decision-making process in lean maintenance management. IFAC PapersOnLine 52–10, 148–153 (2019) K Antosz, L Pasko, A Gola | 6 | |
| Badanie jako¶ci predykcyjnej segmentacji rynku Ł Pa¶ko, G Setlak Studia Informatica 37 (1), 83-97, 2016 | 5* | 2016 |
| Ocena segmentacji rynku za pomoc± miar jako¶ci grupowania danych Ł Pa¶ko, G Setlak Studia Informatica 35 (2), 157-173, 2014 | 5* | 2014 |
| Methods of data mining for quality assurance in glassworks Ł Pa¶ko, P Litwin Collaborative Networks and Digital Transformation: 20th IFIP WG 5.5 Working …, 2019 | 4 | 2019 |
| Neural Model of Manufacturing Process as a Way to Improve Predictability of Manufacturing Ł Pa¶ko, K Antosz International Scientific-Technical Conference MANUFACTURING, 24-38, 2022 | 3 | 2022 |
| Random Forests in a Glassworks: Knowledge Discovery from Industrial Data G Setlak, Ł Pa¶ko Information Systems Architecture and Technology: Proceedings of 40th …, 2020 | 3 | 2020 |
| Towards a Taxonomy of Industrial Challenges and Enabling Technologies in Industry 4.0 R Figliè, R Amadio, M Tyrovolas, C Stylios, Ł Pa¶ko, D Stadnicka, ... IEEE Access, 2024 | 2 | 2024 |
| Six Sigma and Random Forests Application for Product Quality System Control Development K Antosz, A Gola, Ł Pa¶ko, T Malheiro, AM Gonçalves, L Varela International Scientific-Technical Conference MANUFACTURING, 99-112, 2022 | 2 | 2022 |
| Wpływ wybranych metryk na wynik badania skupisk Ł Pa¶ko, G Setlak Zeszyty Naukowe Politechniki ¦l±skiej, Seria Informatyka 36 (1), 31-45, 2015 | 2 | 2015 |
| Bootstrap Aggregation Technique for Evaluating the Significance of Manufacturing Process Parameters in the Glass Industry Ł Pa¶ko, A Ku¶ Technical Sciences 24, 135–155-135–155, 2021 | 1 | 2021 |
| Significance of Manufacturing Process Parameters in a Glassworks Ł Pa¶ko Advances in Manufacturing Science and Technology 44 (2), 39-45, 2020 | 1 | 2020 |
| INTELLIGENT ANALYSIS OF MANUFACTURING DATA G Setlak, M Piróg-Mazur, Ł Pa¶ko Computational Models for Business and Engineering Domains, 109-122, 2014 | 1* | 2014 |
| Adapting education programs to the requirements of industry and society Ł Pa¶ko Book of Abstracts, 321, 2022 | | 2022 |
