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Mateusz Przyborowski

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2020 – today

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2023
[c5]
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  - conf/rskt/WasilewskiP23
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Adam Wasilewski, Mateusz Przyborowski:
Clustering Methods for Adaptive e-Commerce User Interfaces. IJCRS 2023: 511-525
2022
[c4]
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Mateusz Przyborowski, Krzysztof Ciebiera, Krzysztof Stencel:
Large Scale Windowed Matching. IEEE Big Data 2022: 6253-6255
[c3]
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Mateusz Przyborowski, Dominik Slezak:
Approximation of the expectation-maximization algorithm for Gaussian mixture models on big data. IEEE Big Data 2022: 6256-6260
2021
[i1]
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  - journals/corr/abs-2111-14244
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Mateusz Przyborowski, Mateusz Pabis, Andrzej Janusz, Dominik Slezak:
Schema matching using Gaussian mixture models with Wasserstein distance. CoRR abs/2111.14244 (2021)
2020
[c2]
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Andrzej Janusz, Mateusz Przyborowski, Piotr Biczyk, Dominik Slezak:
Network Device Workload Prediction: A Data Mining Challenge at Knowledge Pit. FedCSIS 2020: 77-80

2010 – 2019

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2018
[c1]
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Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak:
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData 2018: 2657-2662

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