Marek Grzegorowski

30 papers C 5Journal 10Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On explainability of cluster prototypes with rough sets: A case study in the FMCG market. Int. J. Appl. Math. Comput. Sci. Marek Grzegorowski, Andrzej Janusz, Lukasz Marcinowski, Andrzej Skowron, Dominik Slezak, Grzegorz Sliwa
2024	J	`jnl`	Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. IEEE Access Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen
2023	—	`conf`	Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) Adam Przybylek, Aleksandra Karpus, Allel Hadjali, Anton Dignös, Carmem S. Hara, Danae Pla Karidi, Ester Zumpano, Fabio Persia, Genoveva Vargas-Solar, George Papastefanatos, Giancarlo Sperlì, Giorgos Giannopoulos, Ivan Lukovic, Julien Aligon, Manolis Terrovitis, Marek Grzegorowski, Mariella Bonomo, Mirian Halfeld Ferrari Alves, Nicolas Labroche, Paul Monsarrat, Richard Chbeir, Sana Sellami, Seshu Tirupathi, Simona E. Rombo, Slavica Kordic, Sonja Ristic, Tommaso Di Noia, Torben Bach Pedersen, Vincenzo Moscato
2023	J	`jnl`	Survival-Based Feature Extraction - Application in Supply Management for Dispersed Vending Machines. IEEE Trans. Ind. Informatics Marek Grzegorowski, Jaroslaw Litwin, Mateusz Wnuk, Mateusz Pabis, Lukasz Marcinowski
2023	—	`conf`	Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. IJCRS Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron
2023	J	`jnl`	Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system. Comput. Sci. Inf. Syst. Eyad Kannout, Michal Grodzki, Marek Grzegorowski
2022	C	`conf`	Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. FedCSIS Eyad Kannout, Michal Grodzki, Marek Grzegorowski
2022	—	`conf`	Data-Driven Resilient Supply Management Supported by Demand Forecasting. ACIIDS (Companion) Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski
2022	—	`conf`	Prescriptive Analytics for Optimization of FMCG Delivery Plans. IPMU (2) Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska
2022	J	`jnl`	Selected Aspects of Interactive Feature Extraction. Trans. Rough Sets Marek Grzegorowski
2022	—	`conf`	Speeding Up Recommender Systems Using Association Rules. ACIIDS (2) Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
2022	J	`jnl`	Speeding Up Recommender Systems Using Association Rules. CoRR Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
2022	C	`conf`	Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. FedCSIS Eyad Kannout, Michal Grodzki, Marek Grzegorowski
2021	J	`jnl`	Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
2021	—	`conf`	Toward Recommender Systems Scalability and Efficacy. CS&P (Revised Selected Papers) Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen
2019	C	`conf`	Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS Andrzej Janusz, Lukasz Grad, Marek Grzegorowski
2019	—	`conf`	Cluster-size optimization within a cloud-based ETL framework for Big Data. IEEE BigData Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz
2019	J	`jnl`	On resilient feature selection: Computational foundations of r-C-reducts. Inf. Sci. Marek Grzegorowski, Dominik Slezak
2018	J	`jnl`	A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Inf. Sci. Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel
2017	—	`conf`	On the role of feature space granulation in feature selection processes. IEEE BigData Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka
2017	J	`jnl`	Predicting seismic events in coal mines based on underground sensor measurements. Eng. Appl. Artif. Intell. Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak
2017	—	`conf`	Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki
2016	—	`conf`	Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts. IJCRS Marek Grzegorowski
2016	C	`conf`	Massively Parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events. FedCSIS Marek Grzegorowski
2015	—	`conf`	Mining Data from Coal Mines: IJCRS'15 Data Challenge. RSFDGrC Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak
2015	—	`conf`	Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines. RSFDGrC Marek Grzegorowski, Sebastian Stawicki
2015	C	`conf`	Window-based feature extraction framework for multi-sensor data: A posture recognition case study. FedCSIS Marek Grzegorowski, Sebastian Stawicki
2014	—	`conf`	Scaling of Complex Calculations over Big Data-Sets. AMT Marek Grzegorowski
2012	—	`ch.`	RDBMS Model for Scientific Articles Analytics. Intelligent Tools for Building a Scientific Information Platform Marcin Kowalski, Dominik Slezak, Krzysztof Stencel, Przemyslaw Wiktor Pardel, Marek Grzegorowski, Michal Kijowski
2012	—	`conf`	SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores. ADBIS Workshops Marek Grzegorowski, Przemyslaw Wiktor Pardel, Sebastian Stawicki, Krzysztof Stencel