Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. - Mateusz Przyborowski; Tomasz Tajmajer; Lukasz Grad; Andrzej Janusz; Piotr Biczyk; Dominik Slezak (IEEE BigData, 2018)

Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. - Andrzej Janusz; Mateusz Przyborowski; Piotr Biczyk; Dominik Slezak (FedCSIS, 2020)

Schema matching using Gaussian mixture models with Wasserstein distance. - Mateusz Przyborowski; Mateusz Pabis; Andrzej Janusz; Dominik Slezak (CoRR, 2021)

Large Scale Windowed Matching. - Mateusz Przyborowski; Krzysztof Ciebiera; Krzysztof Stencel (IEEE Big Data, 2022)

Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. - Mateusz Przyborowski; Dominik Slezak (IEEE Big Data, 2022)

Clustering Methods for Adaptive e-Commerce User Interfaces. - Adam Wasilewski; Mateusz Przyborowski (IJCRS, 2023)

Multi-criteria selection of data clustering methods for e-commerce personalization. - Elzbieta Pawelek-Lubera; Mateusz Przyborowski; Dominik Slezak; Adam Wasilewski (Appl. Soft Comput., 2025)