SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores. - Marek Grzegorowski; Przemyslaw Wiktor Pardel; Sebastian Stawicki; Krzysztof Stencel (ADBIS Workshops, 2012)

RDBMS Model for Scientific Articles Analytics. - Marcin Kowalski; Dominik Slezak; Krzysztof Stencel; Przemyslaw Wiktor Pardel; Marek Grzegorowski; Michal Kijowski (Intelligent Tools for Building a Scientific Information Platform, 2012)

Scaling of Complex Calculations over Big Data-Sets. - Marek Grzegorowski (AMT, 2014)

Window-based feature extraction framework for multi-sensor data: A posture recognition case study. - Marek Grzegorowski; Sebastian Stawicki (FedCSIS, 2015)

Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines. - Marek Grzegorowski; Sebastian Stawicki (RSFDGrC, 2015)

Mining Data from Coal Mines: IJCRS'15 Data Challenge. - Andrzej Janusz; Marek Sikora; Lukasz Wróbel; Sebastian Stawicki; Marek Grzegorowski; Piotr Wojtas; Dominik Slezak (RSFDGrC, 2015)

Massively Parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events. - Marek Grzegorowski (FedCSIS, 2016)

Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts. - Marek Grzegorowski (IJCRS, 2016)

On the role of feature space granulation in feature selection processes. - Marek Grzegorowski; Andrzej Janusz; Dominik Slezak; Marcin S. Szczuka (IEEE BigData, 2017)

Toward Interactive Attribute Selection with Infolattices - A Position Paper. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Sebastian Stawicki (IJCRS (2), 2017)

Predicting seismic events in coal mines based on underground sensor measurements. - Andrzej Janusz; Marek Grzegorowski; Marcin Michalak 001; Lukasz Wróbel; Marek Sikora; Dominik Slezak (Eng. Appl. Artif. Intell., 2017)

A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. - Dominik Slezak; Marek Grzegorowski; Andrzej Janusz; Michal Kozielski; Sinh Hoa Nguyen; Marek Sikora; Sebastian Stawicki; Lukasz Wróbel (Inf. Sci., 2018)

Cluster-size optimization within a cloud-based ETL framework for Big Data. - Eftim Zdravevski; Petre Lameski; Ace Dimitrievski; Marek Grzegorowski; Cas Apanowicz (IEEE BigData, 2019)

Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. - Andrzej Janusz; Lukasz Grad; Marek Grzegorowski (FedCSIS, 2019)

On resilient feature selection: Computational foundations of r-C-reducts. - Marek Grzegorowski; Dominik Slezak (Inf. Sci., 2019)

Toward Recommender Systems Scalability and Efficacy. - Eyad Kannout; Marek Grzegorowski; Hung Son Nguyen (CS&P (Revised Selected Papers), 2021)

Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. - Marek Grzegorowski; Eftim Zdravevski; Andrzej Janusz; Petre Lameski; Cas Apanowicz; Dominik Slezak (Big Data Res., 2021)

Data-Driven Resilient Supply Management Supported by Demand Forecasting. - Marek Grzegorowski; Andrzej Janusz; Jaroslaw Litwin; Lukasz Marcinowski (ACIIDS (Companion), 2022)

Speeding Up Recommender Systems Using Association Rules. - Eyad Kannout; Hung Son Nguyen; Marek Grzegorowski (ACIIDS (2), 2022)

Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (FedCSIS, 2022)

Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (FedCSIS, 2022)

Prescriptive Analytics for Optimization of FMCG Delivery Plans. - Marek Grzegorowski; Andrzej Janusz; Stanislaw Lazewski; Maciej Swiechowski; Monika Jankowska (IPMU (2), 2022)

Selected Aspects of Interactive Feature Extraction. - Marek Grzegorowski (Trans. Rough Sets, 2022)

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. - 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; et al. (ADBIS (Short Papers), 2023)

Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. - Marek Grzegorowski; Andrzej Janusz; Grzegorz Sliwa; Lukasz Marcinowski; Andrzej Skowron (IJCRS, 2023)

Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system. - Eyad Kannout; Michal Grodzki; Marek Grzegorowski (Comput. Sci. Inf. Syst., 2023)

Survival-Based Feature Extraction - Application in Supply Management for Dispersed Vending Machines. - Marek Grzegorowski; Jaroslaw Litwin; Mateusz Wnuk; Mateusz Pabis; Lukasz Marcinowski (IEEE Trans. Ind. Informatics, 2023)

Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. - Eyad Kannout; Marek Grzegorowski; Michal Grodzki; Hung Son Nguyen (IEEE Access, 2024)

On explainability of cluster prototypes with rough sets: A case study in the FMCG market. - Marek Grzegorowski; Andrzej Janusz; Lukasz Marcinowski; Andrzej Skowron; Dominik Slezak; Grzegorz Sliwa (Int. J. Appl. Math. Comput. Sci., 2025)