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ORCIDMarek Grzegorowski
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- affiliation: University of Warsaw, Poland
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2020 – today
- 2024
[j8]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: 13678-13698 (2024)- 2023
- [j7]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): 1343-1366 (2023) - [j6]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): 3331-3340 (2023) - [c19]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: 293-311 - [c18]Marek Grzegorowski, Andrzej Janusz, Grzegorz Sliwa, Lukasz Marcinowski, Andrzej Skowron:
Towards ML Explainability with Rough Sets, Clustering, and Dimensionality Reduction. IJCRS 2023: 371-386 - 2022
- [j5]Marek Grzegorowski:
Selected Aspects of Interactive Feature Extraction. Trans. Rough Sets 23: 121-287 (2022) - [c17]Marek Grzegorowski, Andrzej Janusz, Jaroslaw Litwin, Lukasz Marcinowski:
Data-Driven Resilient Supply Management Supported by Demand Forecasting. ACIIDS (Companion) 2022: 122-134 - [c16]Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski:
Speeding Up Recommender Systems Using Association Rules. ACIIDS (2) 2022: 167-179 - [c15]Eyad Kannout, Michal Grodzki, Marek Grzegorowski:
Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. FedCSIS 2022: 217-226 - [c14]Eyad Kannout, Michal Grodzki, Marek Grzegorowski:
Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. FedCSIS 2022: 403-412 - [c13]Marek Grzegorowski, Andrzej Janusz, Stanislaw Lazewski, Maciej Swiechowski, Monika Jankowska:
Prescriptive Analytics for Optimization of FMCG Delivery Plans. IPMU (2) 2022: 44-53 - [i1]Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski:
Speeding Up Recommender Systems Using Association Rules. CoRR abs/2211.08799 (2022) - 2021
- [j4]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: 100203 (2021) - [c12]Eyad Kannout, Marek Grzegorowski, Hung Son Nguyen:
Toward Recommender Systems Scalability and Efficacy. CS&P (Revised Selected Papers) 2021: 91-121
2010 – 2019
- 2019
- [j3]Marek Grzegorowski, Dominik Slezak:
On resilient feature selection: Computational foundations of r-C-reducts. Inf. Sci. 499: 25-44 (2019) - [c11]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: 3754-3763 - [c10]Andrzej Janusz, Lukasz Grad, Marek Grzegorowski:
Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS 2019: 3-6 - 2018
- [j2]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. 451-452: 112-133 (2018) - 2017
- [j1]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: 83-94 (2017) - [c9]Marek Grzegorowski, Andrzej Janusz, Dominik Slezak, Marcin S. Szczuka:
On the role of feature space granulation in feature selection processes. IEEE BigData 2017: 1806-1815 - [c8]Dominik Slezak, Marek Grzegorowski, Andrzej Janusz, Sebastian Stawicki:
Toward Interactive Attribute Selection with Infolattices - A Position Paper. IJCRS (2) 2017: 526-539 - 2016
- [c7]Marek Grzegorowski:
Massively Parallel Feature Extraction Framework Application in Predicting Dangerous Seismic Events. FedCSIS 2016: 225-229 - [c6]Marek Grzegorowski:
Governance of the Redundancy in the Feature Selection Based on Rough Sets' Reducts. IJCRS 2016: 548-557 - 2015
- [c5]Marek Grzegorowski, Sebastian Stawicki:
Window-based feature extraction framework for multi-sensor data: A posture recognition case study. FedCSIS 2015: 397-405 - [c4]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: 429-438 - [c3]Marek Grzegorowski, Sebastian Stawicki:
Window-Based Feature Engineering for Prediction of Methane Threats in Coal Mines. RSFDGrC 2015: 452-463 - 2014
- [c2]Marek Grzegorowski:
Scaling of Complex Calculations over Big Data-Sets. AMT 2014: 73-84 - 2012
- [c1]Marek Grzegorowski, Przemyslaw Wiktor Pardel, Sebastian Stawicki, Krzysztof Stencel:
SONCA: Scalable Semantic Processing of Rapidly Growing Document Stores. ADBIS Workshops 2012: 89-98 - [p1]Marcin Kowalski, Dominik Slezak, Krzysztof Stencel, Przemyslaw Wiktor Pardel, Marek Grzegorowski, Michal Kijowski:
RDBMS Model for Scientific Articles Analytics. Intelligent Tools for Building a Scientific Information Platform 2012: 49-60
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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