Marek Grzegorowski
Cited by
Cited by
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
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
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
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
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
On resilient feature selection: Computational foundations of rC-reducts
M Grzegorowski, D Ślęzak
Information Sciences 499, 25-44, 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
Massively parallel feature extraction framework application in predicting dangerous seismic events
M Grzegorowski
2016 Federated Conference on Computer Science and Information Systems …, 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
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
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
Scaling of complex calculations over big data-sets
M Grzegorowski
International Conference on Active Media Technology, 73-84, 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
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
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
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
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
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
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
Selected aspects of interactive feature extraction
M Grzegorowski
Transactions on Rough Sets XXIII, 121-287, 2023
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