Michal Kruczkowski Ph.D.
PhD in Computer Science, Bydgoszcz University of Sciences Technology and Sciences
Research Interests
Publications
Support Vector Machine for Malware Analysis and Classification
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) / Aug 01, 2014
Kruczkowski, M., & Szynkiewicz, E. N. (2014, August). Support Vector Machine for Malware Analysis and Classification. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). https://doi.org/10.1109/wi-iat.2014.127
Predictions of cervical cancer identification by photonic method combined with machine learning
Scientific Reports / Mar 08, 2022
Kruczkowski, M., Drabik-Kruczkowska, A., Marciniak, A., Tarczewska, M., Kosowska, M., & Szczerska, M. (2022). Predictions of cervical cancer identification by photonic method combined with machine learning. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-07723-1
Cross-layer analysis of malware datasets for malicious campaigns identification
2015 International Conference on Military Communications and Information Systems (ICMCIS) / May 01, 2015
Kruczkowski, M., Niewiadomska-Szynkiewicz, E., & Kozakiewicz, A. (2015, May). Cross-layer analysis of malware datasets for malicious campaigns identification. 2015 International Conference on Military Communications and Information Systems (ICMCIS). https://doi.org/10.1109/icmcis.2015.7158682
FP-tree and SVM for Malicious Web Campaign Detection
Intelligent Information and Database Systems / Jan 01, 2015
Kruczkowski, M., Niewiadomska-Szynkiewicz, E., & Kozakiewicz, A. (2015). FP-tree and SVM for Malicious Web Campaign Detection. In Lecture Notes in Computer Science (pp. 193–201). Springer International Publishing. https://doi.org/10.1007/978-3-319-15705-4_19
Cross-layer analysis of malware datasets for malicious campaigns identification
2015 International Conference on Military Communications and Information Systems (ICMCIS) / May 01, 2015
Kruczkowski, M., Niewiadomska-Szynkiewicz, E., & Kozakiewicz, A. (2015, May). Cross-layer analysis of malware datasets for malicious campaigns identification. 2015 International Conference on Military Communications and Information Systems (ICMCIS). https://doi.org/10.1109/icmcis.2015.7158682
Low-Coherence Fibre-Optic Interferometric Sensors
Acta Physica Polonica A / Oct 01, 2011
Jedrzejewska-Szczerska, M., Gnyba, M., & Kosmowski, B. B. (2011). Low-Coherence Fibre-Optic Interferometric Sensors. Acta Physica Polonica A, 120(4), 621–624. https://doi.org/10.12693/aphyspola.120.621
Estimation of light detection efficiency for different light guides used in time-resolved near-infrared spectroscopy
Biocybernetics and Biomedical Engineering / Jan 01, 2015
Milej, D., Kruczkowski, M., Kacprzak, M., Sawosz, P., Maniewski, R., & Liebert, A. (2015). Estimation of light detection efficiency for different light guides used in time-resolved near-infrared spectroscopy. Biocybernetics and Biomedical Engineering, 35(4), 227–231. https://doi.org/10.1016/j.bbe.2015.05.003
Machine learning for predictions of cervical cancer identification – preliminary investigation based on refractive index
Oct 01, 2021
Kruczkowski, M., Drabik-Kruczkowska, A., Marciniak, A., Tarczewska, M., Kosowska, M., & Szczerska, M. (2021). Machine learning for predictions of cervical cancer identification – preliminary investigation based on refractive index. https://doi.org/10.21203/rs.3.rs-948525/v1
An algorithm for assessment of inflow and washout of optical contrast agent to the brain by analysis of time-resolved diffuse reflectance and fluorescence signals
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Jul 01, 2013
Milej, D., Kruczkowski, M., Gerega, A., Sawosz, P., Maniewski, R., & Liebert, A. (2013, July). An algorithm for assessment of inflow and washout of optical contrast agent to the brain by analysis of time-resolved diffuse reflectance and fluorescence signals. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://doi.org/10.1109/embc.2013.6609901
Implementation of SiN thin film in fiber-optic sensor working in telecommunication range of wavelengths
Scientific Reports / Nov 17, 2021
Pawłowska, S., Gierowski, J., Stonio, B., Juchniewicz, M., Ficek, M., Kruczkowski, M., & Szczerska, M. (2021). Implementation of SiN thin film in fiber-optic sensor working in telecommunication range of wavelengths. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-00195-9
The Rough Set Analysis for Malicious Web Campaigns Identification
Image Processing and Communications Challenges 10 / Nov 01, 2018
Kruczkowski, M., & Miciak, M. (2018). The Rough Set Analysis for Malicious Web Campaigns Identification. In Advances in Intelligent Systems and Computing (pp. 208–215). Springer International Publishing. https://doi.org/10.1007/978-3-030-03658-4_25
SYSTEM DO WYKRYWANIA KAMPANII ZŁOŚLIWEGO OPROGRAMOWANIA
PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE / Sep 05, 2015
Kruczkowski, M. (2015). SYSTEM DO WYKRYWANIA KAMPANII ZŁOŚLIWEGO OPROGRAMOWANIA. PRZEGLĄD TELEKOMUNIKACYJNY - WIADOMOŚCI TELEKOMUNIKACYJNE, 1(8–9), 117–125. https://doi.org/10.15199/59.2015.8-9.16
POSTRZEGANIE ZMIANY PRZEZ STUDENTÓW WYDZIAŁU ZARZĄDZANIA POLITECHNIKI CZĘSTOCHOWSKIEJ
Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie / Dec 01, 2016
Randak-Jezierska, M. (2016). POSTRZEGANIE ZMIANY PRZEZ STUDENTÓW WYDZIAŁU ZARZĄDZANIA POLITECHNIKI CZĘSTOCHOWSKIEJ. Zeszyty Naukowe Politechniki Częstochowskiej Zarządzanie, 24(2), 186–200. https://doi.org/10.17512/znpcz.2016.4.2.15
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