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 | 67 | 2018 |
Predicting seismic events in coal mines based on underground sensor measurements A Janusz, M Grzegorowski, M Michalak, Ł Wróbel, M Sikora, D Ślęzak Engineering Applications of Artificial Intelligence 64, 83-94, 2017 | 44 | 2017 |
Cost optimization for big data workloads based on dynamic scheduling and cluster-size tuning M Grzegorowski, E Zdravevski, A Janusz, P Lameski, C Apanowicz, ... Big Data Research 25, 100203, 2021 | 31 | 2021 |
Mining data from coal mines: IJCRS’15 data challenge A Janusz, M Sikora, Ł Wróbel, S Stawicki, M Grzegorowski, P Wojtas, ... Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th …, 2015 | 28 | 2015 |
Cluster-size optimization within a cloud-based ETL framework for Big Data E Zdravevski, P Lameski, A Dimitrievski, M Grzegorowski, C Apanowicz 2019 IEEE international conference on big data (Big Data), 3754-3763, 2019 | 24 | 2019 |
On resilient feature selection: Computational foundations of rC-reducts M Grzegorowski, D Ślęzak Information Sciences 499, 25-44, 2019 | 24 | 2019 |
On the role of feature space granulation in feature selection processes M Grzegorowski, A Janusz, D Ślezak, M Szczuka 2017 IEEE International Conference on Big Data (Big Data), 1806-1815, 2017 | 16 | 2017 |
Massively parallel feature extraction framework application in predicting dangerous seismic events M Grzegorowski 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 16 | 2016 |
Window-based feature extraction framework for multi-sensor data: A posture recognition case study M Grzegorowski, S Stawicki 2015 Federated Conference on Computer Science and Information Systems …, 2015 | 16 | 2015 |
Survival-based feature extraction-application in supply management for dispersed vending machines M Grzegorowski, J Litwin, M Wnuk, M Pabis, Ł Marcinowski IEEE Transactions on Industrial Informatics, 2023 | 11 | 2023 |
Window-based feature engineering for prediction of methane threats in coal mines M Grzegorowski, S Stawicki Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th …, 2015 | 11 | 2015 |
Scaling of complex calculations over big data-sets M Grzegorowski International Conference on Active Media Technology, 73-84, 2014 | 10 | 2014 |
Governance of the redundancy in the feature selection based on rough sets’ reducts M Grzegorowski International Joint Conference on Rough Sets, 548-557, 2016 | 9 | 2016 |
Prescriptive analytics for optimization of FMCG delivery plans M Grzegorowski, A Janusz, S Łażewski, M Świechowski, M Jankowska International Conference on Information Processing and Management of …, 2022 | 8 | 2022 |
RDBMS model for scientific articles analytics M Kowalski, D Ślęzak, K Stencel, P Pardel, M Grzegorowski, M Kijowski Intelligent Tools for Building a Scientific Information Platform, 49-60, 2012 | 8 | 2012 |
Clash royale challenge: how to select training decks for win-rate prediction A Janusz, Ł Grad, M Grzegorowski 2019 Federated Conference on Computer Science and Information Systems …, 2019 | 5 | 2019 |
Utilizing frequent pattern mining for solving cold-start problem in recommender systems E Kannout, M Grodzki, M Grzegorowski 2022 17th Conference on Computer Science and Intelligence Systems (FedCSIS …, 2022 | 4 | 2022 |
Toward interactive attribute selection with infolattices–a position paper D Ślęzak, M Grzegorowski, A Janusz, S Stawicki Rough Sets: International Joint Conference, IJCRS 2017, Olsztyn, Poland …, 2017 | 4 | 2017 |
Sonca: Scalable semantic processing of rapidly growing document stores M Grzegorowski, PW Pardel, S Stawicki, K Stencel New Trends in Databases and Information Systems, 89-98, 2013 | 4 | 2013 |
Selected aspects of interactive feature extraction M Grzegorowski Transactions on Rough Sets XXIII, 121-287, 2023 | 3 | 2023 |