PREFACE: 2ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING AND QUANTUM COMPUTING APPLICATIONSIN MEDICINE AND PHYSICS
DOI:
https://doi.org/10.7494/csci.2025.26.SI.0001Abstract
This is a preface for the special issue including extended versions of the selected papers submitted to 2ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING AND QUANTUM COMPUTING APPLICATIONSIN MEDICINE AND PHYSICS.
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[1] 2nd International Workshop on Machine Learning and Quantum Computing Applications
in Medicine and Physics, https://events.ncbj.gov.pl/event/314/, 2024.
[2] Anderlini L., Barbetti M., Bianchini G., Ciangottini D., Pra S.D., Michelotto D.,
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INFN Platform, Computer Science, vol. 26(SI), pp. 8–28, 2025. doi: 10.7494/
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[3] Cakir E., H¨utt M.T.: A network-based computational pipeline to study the variability
of transcriptome profiles for human diseases, Computer Science, vol. 26(SI),
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[4] Kalaczynski P. on behalf of the KM3NeT Collaboration: Reconstruction of muon
bundles in KM3NET detectors using machine learning method, Computer Science,
vol. 26(SI), pp. 93–109, 2025. doi: 10.7494/csci.2025.26.SI.7062.
[5] Ogonowski A., Zebrowski M., Cwiek A., Jarosiewicz T., Klimaszewski K.,
Padee A., Wasiuk P., Wojcik M.: Preliminary study on artificial intelligence
methods for cybersecurity threat detection in computer networks based on raw
data packets, Computer Science, vol. 26(SI), pp. 45–68, 2025. doi: 10.7494/
csci.2025.26.SI.7079.
[6] Raczynski L., Krzemien W., Klimaszewski K.: Improving pet scanner time-offlight
resolution using additional prompt photon, Computer Science, vol. 26(SI),
pp. 127–145, 2025. doi: 10.7494/csci.2025.26.SI.7057.
[7] Rybotycki T., Gawron P.: AQMLATOR – an auto quantum machine learning
e-platform, Computer Science, vol. 26(SI), pp. 29–43, 2025. doi: 10.7494/
csci.2025.26.SI.7063.
[8] Suelves L.E., Pearson W.J., Pollo A.: Characteristic sky background features
around galaxy mergers, Computer Science, vol. 26(SI), pp. 111–126, 2025.
doi: 10.7494/csci.2025.26.SI.7072.
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