mgr inż. Jaromir Sarzyński

Publikacje

• [współaut.] Pancerz K, Kulicki P, Kalisz M [et al.] HuReTEx : From deep learning models to explainable information flow models. - SoftwareX, 2026, Vol. 33
• [współaut.] Pancerz K, Kulicki P, Burda A A Framework for Explainable Deep Learning Systems Based on Rough Set Flow Graphs W: Advances in Artificial Intelligence Research : Proceedings of the 6th Polish Conference on Artificial Intelligence, PP-RAI 2025, Katowice, Poland, 7-9 April, 2025 / editors: Beata Zielosko, Rafał Doroz, Ireneusz Czarnowski, Janusz Kacprzyk, Jacek Mańdziuk. Cham, Springer: 2026, S.113-125
• [współaut.] Rak E, Homa M Detection of abnormal network flow by the Distributive Aggregations Ensemble Algorithm W: Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation (ISD2025 Proceedings) : 33rd International conference on information systems development (ISD2025 Belgrade, Serbia) / editors Ivan Luković, Srđa Bjeladinović, Boris Delibašić, Dušan Barać, Netta Iivari, Emilio Insfran, Michael Lang, Henry Linger, Christoph Schneider. Belgrade, University of Belgrade: 2025
• [współaut.] Kluz-Barłowska M, Kluz T, Paja W [et al.] Determination of platinum-resistance of women with ovarian cancer by FTIR spectroscopy combined with multivariate analyses and machine learning methods. - Scientific Reports, 2024, Vol. 14, iss.1
• [współaut.] Ochab M, Mrukowicz M, Molenda P Real-time anonymisation of DNS network traffic. - Procedia Computer Science, 2024, Vol. 246, p. 4018-4027
• [współaut.] Ochab M, Mrukowicz M, Rząsa W A scalable data acquisition system for the efficient processing of DNS network traffic. - Procedia Computer Science, 2024, Vol. 246, p. 4702-4711
• [współaut.] Paja S, Paja W Identification of outlier cases in information systems using selection of relevant intervals of attribute values. - Procedia Computer Science, 2024, Vol. 246, p. 4610-4616
• [współaut.] Rak E, Rak R Effectiveness of an ensemble technique based on the distributivity equation in detecting suspicious network activity. - Fuzzy Sets and Systems, 2024, Vol. 488
• [współaut.] Kluz-Barłowska M, Kluz T, Paja W [et al.] FT-Raman data analyzed by multivariate and machine learning as a new methods for detection spectroscopy marker of platinum-resistant women suffering from ovarian cancer. - Scientific Reports, 2023, Vol. 13, iss. 1
• [współaut.] Paja W, Szkoła J, Żychowska M A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images W: 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems / eds. G.A. Tsihrintzis, C. Toro, S.A. Rios, R.J. Howlett, L.C. Jain. Amsterdam, Elsevier: 2023, S. 4706-4712
• [współaut.] Paja W, Szkoła J, Pancerz K [et al.] Identification of Melanocytic Skin Lesions Using Deep Learning Methods W: Progress in Polish Artificial Intelligence Research 4 / edkacja naukowa Adam Wojciechowski, Piotr Lipiński. Łódź, Politechnika Łódzka: 2023, S. 239-244
• [współaut.] Pancerz K Rough Set Flow Graphs for Information Systems over Ontological Graphs W: Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives : Selected Papers from BOS/SOR-2022, Held on October 13-15, 2022, and IWIFSGN-2022, Held on October 13-14, 2022, in Warsaw, Poland / editors Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir S. Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny. Cham, Springer: 2023, S. 95-105
• [współaut.] Rak E Evaluation Metrics for a Hybrid Classification System Based on the Distributivity Equation and the UNSW-NB15 Cyberattack Dataset W: Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives : Selected Papers from BOS/SOR-2022, Held on October 13-15, 2022, and IWIFSGN-2022, Held on October 13-14, 2022, in Warsaw, Poland / editors Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir S. Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny. Cham, Springer: 2023, S. 311-321
• [współaut.] Depciuch J, Jakubczyk P, Paja W [et al.] Apocynin reduces cytotoxic effects of monosodium glutamate in the brain : a spectroscopic, oxidative load, and machine learning study. - Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022, Vol. 279
• [współaut.] Ochab M, Mrukowicz M, Bentkowska U Human- and Machine-Generated Traffic Distinction by DNS Protocol Analysis W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2021, s. 1-8
• [współaut.] Paja W, Pancerz K, Pękala B Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning W: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway, Institute of Electrical and Electronics Engineers (IEEE): 2021, s. 1-6
• [współaut.] Pancerz K, Lewicki A Discovering Flow Graphs from Data Tables Using the Classi?cation and Prediction Software System (CLAPSS) W: Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019, Proceedings / Editors Tamás Mihálydeák, Fan Min, Guoyin Wang, Mohua Banerjee, Ivo Düntsch, Zbigniew Suraj, Davide Ciucci. [b.m.], Springer: 2019, S. 356-368
• [współaut.] Pancerz K, Paja W, Gomuła J Determining Importance of Ranges of MMPI Scales Using Fuzzification and Relevant Attribute selection. - Procedia Computer Science, 2018, vol. 126, pp. 2065-2074