Michal Kruczkowski
PhD in Computer Science, Bydgoszcz University of Science and Technology, Bydgoszcz Poland, Hanyang University, Seoul, South Korea
Research Expertise
About
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
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
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
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
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
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
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
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