Podstrona: Publikacje / Wizytówka pracownika PRz

ResearchGate

ORCID

1. Kluska i M. Madera, Extremely simple classifier based on fuzzy logic and gene expression programming, Information Sciences, t. 571, s. 560–579, wrz. 2021, doi: 10.1016/j.ins.2021.05.041.
2. M. Madera i R. Tomoń, A case study on machine learning model for code review expert system in software engineering, Federated Conference on Computer Science and Information Systems (FedCSIS), wrz. 2017, s. 1357–1363. doi: 10.15439/2017F536.
3. M. Madera, R. Tomoń, i P. Lorenc, Medical reporting in web-based applications designed to meet regulatory and industry standards, Federated Conference on Computer Science and Information Systems (FedCSIS), wrz. 2016, t. Vol. 9, s. 151–156. doi: 10.15439/2016F574.
4. T. Żabiński, T. Maczka, J. Kluska, M. Madera, i J. Sep, Condition monitoring in Industry 4.0 production systems - the idea of computational intelligence methods application, Procedia CIRP, t. 79, s. 63–67, sty. 2019, doi: 10.1016/j.procir.2019.02.012.
5. M. Micek, D. Aebisher, J. Surówka, D. Bartusik Aebisher, M. Madera, Applications of T1 and T2 relaxation time calculation in tissue differentiation and cancer diagnostics – a systematic literature review, Frontiers in Oncology-Cancer Imaging and Image-directed Interventions, 2022. doi: 10.3389/fonc.2022.1010643
6. M. Madera i M. Pietroszek, Implementation of Gene Expression Programming Algorithm using Tensorflow for improved performance, zaprezentowano na 2021 Selected Issues of Electrical Engineering and Electronics (WZEE), Rzeszów, sie. 2021. doi: 10.1109/WZEE54157.2021.9576954.
7. M. Madera, Has the software development process undergone the fourth industrial revolution?, zaprezentowano na 2021 Selected Issues of Electrical Engineering and Electronics (WZEE), Rzeszów, sie. 2021. doi: 10.1109/WZEE54157.2021.9576954.
8. M. Micek i M. Madera, Computational intelligence applied to tissue T1 and T2 relaxation time analysis, zaprezentowano na 2021 Selected Issues of Electrical Engineering and Electronics (WZEE), Rzeszów, sie. 2021. doi: 10.1109/WZEE54157.2021.9576954.
9. G. Piecuch, M. Madera, i T. Żabiński, Diagnostics of welding process based on thermovision images using convolutional neural network, IOP Conf. Ser.: Mater. Sci. Eng., t. 710, nr 1, s. 012042, grudz. 2019, doi:
   10.1088/1757-899X/710/1/012042.
10. M. Madera i J. Kluska, Applications of artificial intelligence in precision medicine, zaprezentowano na Personalized and Precision Medicine International Conference 2018, Paris, cze. 2018.
11. M. Madera i T. Śliwa, Distributed computing system built on top of typical laboratory infrastructure, zaprezentowano na Conference: KKIO’17 – Software Engineering Conference, Rzeszów, wrz. 2017.
12. M. Madera i T. Śliwa, Środowisko do obliczeń rozproszonych i jego wykorzystanie do uczenia i testowania sieci neuronowych oraz eksploracji danych, zaprezentowano na Warsztaty Doktoranckie: WD 2016: Lubelskie Dni Nauki i Biznesu, lis. 2016.
13. M. Madera, Inteligencja obliczeniowa w procesie oceny ryzyka w branży IT, zaprezentowano na Gospodarka Polski 1990-2016, Kraków, Katedra Ekonomii Stosowanej UEK, sie. 2016.