Rok 2024

  1. Pękala B., Grochowalski P., Kosior D., Gil D., Kozioł W., Dyczkowski K., Kaymak U., Fuchs C., Nobile M., Applications of IFIS python library in interval-valued fuzzy inference problems, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) : Yokohama, Japan, 30 June 2024 - 05 July 2024
  2. Pękala B, Wilbik A., Szkoła J., Dyczkowski Krzysztof, Żywica Patryk, Federated Learning with the Choquet Integral as Aggregation Method, 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) : Yokohama, Japan, 30 June 2024 - 05 July 2024
  3. Dyczkowski K., Grzelak B., Górecki T., Piłka T., Sadurska A., Pękala B., Owen A. Lee, Sensor-Based Injury Prediction in Football Using a New Interval-Valued Fuzzy Inference Library, 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) : Yokohama, Japan, 30 June 2024 - 05 July 2024
  4. Kosałka-Węgiel J., Lichołai S., Dziedzina S., Milewski M., Kuszmiersz P., Korona A., Korkosz M., Gąsior J., Matyja-Bednarczyk A., Kwiatkowska H., Siwiec-Koźlik A., Sydor W., Wilańska J., Zaręba L., Pociej-Marciak W., Dropiński J., Sanak M., Musiał J., Bazan-Socha S., Association between clinical features and course of systemic sclerosis and serum interleukin-8, vascular endothelial growth factor, basic fibroblast growth factor, and interferon alpha, Advances in Clinical and Experimental Medicine, 2024 : Vol. 33, iss. 4, p. 369-377
  5. Gomółka Z., Żesławska E., Czuba B., Kondratenko Y., Diagnosing Dyslexia in Early School-Aged Children Using the LSTM Network and Eye Tracking Technology, Applied Sciences-Basel, 2024 : Vol. 14, iss. 17, id. art. 8004
  6. Kwiatkowski B., Kwater T., Mazur D., Bartman J., An off-line application that determines the maximum accuracy of the realization of reference points from G-code for given parameters of CNC machine dynamics, Bulletin of the Polish Academy of Sciences-Technical Sciences, 2024 : Vol. 72, iss. 1, id. art. e147345
  7. Suraj Z., Grochowalski P., Drygaś P., Automated Discovery of Concurrent Models of Decision-Making Systems from Data, Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part II, Lecture Notes in Computer Science ; vol. 14833 ; 0302-9743
  8. Bentkowska U., Gałka W., Mrukowicz M., Wojtowicz A., Ensemble Classifier Based on Interval Modeling for Microarray Datasets, Entropy, 2024 : Vol. 26, iss. 3, id. art. id. art. 240
  9. Rak E., Sarzyński J., Rak R., Effectiveness of an ensemble technique based on the distributivity equation in detecting suspicious network activity, Fuzzy Sets and Systems, 2024 : Vol. 488, id. art. 109015
  10. Mroczek T., Gil D., Pękala B., Fuzzy and rough approach to the problem of missing data in fall detection system, Fuzzy Sets and Systems, 2024 : Vol. 480, id. art. 108868
  11. Pękala B., Bentkowska U., Kępski M., Mrukowicz M., The effectiveness of aggregation functions used in fuzzy local contrast constructions, Fuzzy Sets and System, 2024 : Vol. 491, id. art. 109054
  12. Matusiewicz Z., Drygaś P., Nullnorms and Uninorms as Generators of Unions and Intersections Operations of Balanced Fuzzy Sets, Uniwersytet Gdański, 2024
  13. Bentkowska U., Mrukowicz M., Gałka W., Lech K., An Ensemble Classifier Based on kNN with an Interval Threshold Strategy, Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15-18, 2024, Springer, 2024
  14. Szukiewicz M., Chmiel-Szukiewicz E., Zaręba L., Application of the kinetic polynomial idea to describecatalytic hydrogenation of propene, International Journal of Chemical Kinetics, 2024 : Vol. 56, iss 7, p. 387-395
  15. Kosałka-Węgiel J., Dziedzic R., Siwiec-Koźlik A., Spałkowska M., Milewski M., Wach A., Zaręba L., Bazan-Socha S., Korkosz M., Comparison of Clinical and Laboratory Characteristics in Lupus Nephritis vs. Non-Lupus Nephritis Patients-A Comprehensive Retrospective Analysis Based on 921 Patients, Journal of Clinical Medicine, 2024 : Vol. 13, no. 15, id. art. 4486
  16. Drynda A., Padjas A., Wójcik K. , Dziedzic R., Biedroń G., Wawrzycka-Adamczyk K., Włodarczyk A., Wilańska J., Musiał J., Zdrojewski Z., Czuszyńska Z., Masiak A., Majdan M., Jeleniewicz R., Augustyniak-Bartosik ., Jakuszko K., Krajewska M., Dębska-Ślizień A., Storoniak H., Bułło-Piontecka B., Tłustochowicz W., Kur-Zalewska J., Wisłowska M., Głuszko P., Madej M., Jassem E., Damps-Konstańska I., Kucharz E., Brzosko M., Milchert M., Hawrot-Kawecka A., Miłkowska-Dymanowska J., Górski P., Lewandowska-Polak A., Makowska J., Zalewska J., Zaręba L., Bazan-Socha S., Clinical Characteristics of EGPA Patients in Comparison to GPA Subgroup with Increased Blood Eosinophilia from POLVAS Registry, Journal of Immunology Research, 2024 : Vol. 2024, p.1-13, id. art. 4283928
  17. Kosałka-Węgiel J., Jakieła B., Dziedzic R., Milewski M., Siwiec-Koźlik A., Zaręba L., Bazan-Socha St., Sanak M., Musiał J., Krokosz M., Circulating B Lymphocyte Subsets in Patients with Systemic Lupus Erythematosus, Medicina-Lithuania, 2024 : Vol. 60, iss. 12, id. art. 1994
  18. Kęsik J., Paja W., Jakubczyk P., Khalavka M., Terlecki P., Iłżecki M., Rzad W., Depciuch J., Determination of spectroscopy marker of atherosclerotic carotid stenosis using FTIR-ATR combined with machine learning and chemometrics analyses, Nanomedicine: Nanotechnology Biology and Medicine, 2024 : Vol. 62, id. art. 102788
  19. Tołpa B., P., Trojnar E., Łach K., Gala-Błądzińska A., Kowal A., Gumbarewicz E., Frączek P., Cebulski J., Depciuch J., FT-Raman spectra in combination with machine learning and multivariate analyses as a diagnostic tool in brain tumors, Nanomedicine: Nanotechnology Biology and Medicine, 2024 : Vol. 57, id. art. 102737
  20. Żesławska E., Gomółka Z., Dydek-Dyduch E.
    Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles, Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023Adres wydawniczy: Singapore : Springer, 2024, S. 26-37
  21. Ochab M., Mrukowicz M., Sarzyński J., Rząsa W., A scalable data acquisition system for the efficient processing of DNS network traffic, Procedia Computer Science, 2024 : Vol. 246, p. 4702-4711
  22. Lasek P., Rząsa W., Król A., Aggregations of Fuzzy Equivalences in κ-means Algorithm, Procedia Computer Science, 2024 : Vol. 246, p. 830-839
  23. Szkoła J., Paja T., Paja W., Application of binary subnetworks to classify images potentially containing melanocytic skin lesions, Procedia Computer Science, 2024 : Vol. 246, p. 4515-4523
  24. Wojtowicz A., Mrukowicz M., Gałka W., Balicki K., Rząsa W., Bentkowska U., Binary ensemble kNN based classifier for microarray datasets, Procedia Computer Science, 2024: Vol. 246, p. 4411-4420
  25. Lasek P., Rząsa W., Król A., Employing Aggregations of Fuzzy Equivalences in Clustering and Visualization of Medical Data Sets, Procedia Computer Science, 2024 : Vol. 246, p. 2733-2742
  26. Lasek P., Lasek K., Experimenting with Feature Constraints Using the NBC Clustering Algorithm,  Procedia Computer Science, 2024 : Vol. 246, p. 2714-2722
  27. Sarzyński J., 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
  28. Suraj Z., Grochowalski P., Drygaś P., Influence of Fuzzy Petri Net Operating Mode on Decision-Making, Procedia Computer Science, 2024 : Vol. 246, p. 2449-2458
  29. Król A., Drygaś Pi., Drygaś P., Molenda P., Pusz P., Left Ordinal Sums of Fuzzy Implications and Their Natural Negations, Procedia Computer Science, 2024 : Vol. 246, p. 3236-3245
  30. Ochab M., Mrukowicz M., Sarzyński J., Molenda P., Real-time anonymisation of DNS network traffic, Procedia Computer Science, 2024 : Vol. 246, p. 4018-4027
  31. Gałka W., Bazan J., Bentkowska U., Mrukowicz M., Drygaś P., Ochab M., Suszalski P., Obara S., Self-tuning framework to reduce the number of false positive instances using aggregation functions in ensemble classifier, Procedia Computer Science, 2024 : Vol. 246, p. 4028-4037
  32. Piróg M., Piróg T., Bartman J., Łukiewicz K., Hawro P., The application of fuzzy logic for the identification and assessment of a driver's driving style, Progress in Applied Electrical Engineering (PAEE), Zakopane, Poland 24-28 June 2024
  33. Bober D., Jędrychowski ., Miller P., Wancerz M., Swórka M., Pastuszak M., Wpływ źródła OZE na charakterystykę elektroenergetyczną zakładu przetwórcze, Przegląd Elektrotechniczny, 2024 : R. 100, nr 8, s. 14-21
  34. Kosałka-Węgiel J., Dziedzic R., Siwiec-Koźlik A., Spałkowska M., Milewski M., Żuk-Kuwik J., Zaręba L., Bazan-Socha S., Korkosz M., Clinical and laboratory characteristics of early-onset and delayed-onset lupus nephritis patients: A single-center retrospective study, Rheumatology International, 2024 : vol. 44, iss.7, p.1283-1294
  35. Kosałka-Węgiel J., Pacholczak-Madej R., Dziedzic R., Siwiec-Koźlik A., Spałkowska M., Milewski M., Zaręba L., Bazan-Socha S., Korkosz M., Malignancy in systemic lupus erythematosus: relation to disease characteristics in 92 patients - a single center retrospective study, Rheumatology International, 2024 : vol. 44, iss.9, p.1701-1713
  36. Kosałka-Węgiel J., Lichołai S., Pacholczyk-Madej R., Dziedzina S., Milewski M., Kuszmiersz P., Korona A., Gąsior J., Matyja-Bednarczyk A., Kwiatkowska H., Zaręba L., Siwiec-Koźlik A., Koźlik-Siwiec P., Wach A., Pociej-Marciak W., Sanak M., Musiał J., Bazan-Socha S., Korkosz M., Serum IL-17 and TNFα as prognostic biomarkers in systemic sclerosis patients : a prospective study, Rheumatology International, 2024 : vol. 44, iss.1, p.119-12
  37. Kluz-Barłowska M., Kluz T., Paja W., Sarzyński J., Barnaś E., Łączyńska-Madera M., Shpotyuk Y., Gumbarewicz E., Klebowski B., Cebulski J., Depciuch J., 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, id. art. 24923
  38. Kluz-Barłowska M., Kluz T., Paja W., Pancerz K., Łączyńska-Madera M., Miziak P., Cebulski J., Depciuch J., FT-Raman and FTIR spectroscopy as a tools showing marker of platinum-resistant phenomena in women sufering from ovarian cancer, Scientific Reports, 2024 : Vol. 14, iss. 1, id. art. 11025
    Kryska A., Depciuch J., Krysa M., Paja W., Nicoś M., Budzyńska B., Sroka-Bartnicka A., Lipids balance as a spectroscopy marker of diabetes. Analysis of FTIR spectra by 2D correlation and machine learning analyses, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024 : Vol. 320, id. art. 124653
  39. Kryska A., Depciuch J., Krysa M., Paja W., Nicoś M., Budzyńska B., Sroka-Bartnicka A., Lipids balance as a spectroscopy marker of diabetes. Analysis of FTIR spectra by 2D correlation and machine learning analyses, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2024 : Vol. 320, id. art. 124653
  40. Dyczkowski K., Grochowalski P., Kosior D., Gil D., Kozioł W., Pękala B., Kaymak U., Fuchs C., Nobile M., Python library for interval-valued fuzzy inference, SoftwareX, 2024 : Vol. 26