Marek Grzegorowski

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 23

Top Topics

Feature Extraction

Recommender Systems

Frequent Pattern Mining

Top Venues

Publications

Eyad Kannout, Marek Grzegorowski, Michal Grodzki, Hung Son Nguyen
Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems. IEEE Access 12 (2024)
Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron
Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. IJCRS (2023)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Towards addressing item cold-start problem in collaborative filtering by embedding agglomerative clustering and FP-growth into the recommendation system. Comput. Sci. Inf. Syst. 20 (4) (2023)
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
Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. ADBIS (Short Papers) (2023)
Marek Grzegorowski, Jaroslaw Litwin, Mateusz Wnuk, Mateusz Pabis, Lukasz Marcinowski
Survival-Based Feature Extraction - Application in Supply Management for Dispersed Vending Machines. IEEE Trans. Ind. Informatics 19 (3) (2023)
Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski
Data-Driven Resilient Supply Management Supported by Demand Forecasting. ACIIDS (Companion) (2022)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. FedCSIS (2022)
Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
Speeding Up Recommender Systems Using Association Rules. ACIIDS (2) (2022)
Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski
Speeding Up Recommender Systems Using Association Rules. CoRR (2022)
Marek Grzegorowski
Selected Aspects of Interactive Feature Extraction. Trans. Rough Sets 23 (2022)
Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska
Prescriptive Analytics for Optimization of FMCG Delivery Plans. IPMU (2) (2022)
Eyad Kannout, Michal Grodzki, Marek Grzegorowski
Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. FedCSIS (2022)
Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen
Toward Recommender Systems Scalability and Efficacy. CS&P (Revised Selected Papers) (2021)
Marek Grzegorowski, Eftim Zdravevski, Andrzej Janusz, Petre Lameski, Cas Apanowicz, Dominik Slezak
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning. Big Data Res. 25 (2021)
Marek Grzegorowski, Dominik Slezak
On resilient feature selection: Computational foundations of r-C-reducts. Inf. Sci. 499 (2019)
Andrzej Janusz, Lukasz Grad, Marek Grzegorowski
Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS (2019)
Eftim Zdravevski, Petre Lameski, Ace Dimitrievski, Marek Grzegorowski, Cas Apanowicz
Cluster-size optimization within a cloud-based ETL framework for Big Data. IEEE BigData (2019)
Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Michal Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki, Lukasz Wróbel
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. (2018)
Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki
Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) (2017)
Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka
On the role of feature space granulation in feature selection processes. IEEE BigData (2017)
Andrzej Janusz, Marek Grzegorowski, Marcin Michalak, Lukasz Wróbel, Marek Sikora, Dominik Slezak
Predicting seismic events in coal mines based on underground sensor measurements. Eng. Appl. Artif. Intell. 64 (2017)
Marek Grzegorowski
Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts. IJCRS (2016)
Marek Grzegorowski
Massively Parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events. FedCSIS (2016)
Andrzej Janusz, Marek Sikora, Lukasz Wróbel, Sebastian Stawicki, Marek Grzegorowski, Piotr Wojtas, Dominik Slezak
Mining Data from Coal Mines: IJCRS'15 Data Challenge. RSFDGrC (2015)
Marek Grzegorowski, Sebastian Stawicki
Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines. RSFDGrC (2015)
Marek Grzegorowski, Sebastian Stawicki
Window-based feature extraction framework for multi-sensor data: A posture recognition case study. FedCSIS (2015)
Marek Grzegorowski
Scaling of Complex Calculations over Big Data-Sets. AMT (2014)
Marek Grzegorowski, Przemyslaw Wiktor Pardel, Sebastian Stawicki, Krzysztof Stencel
SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores. ADBIS Workshops (2012)