Publications

Year 2023

  1. Rak E., Szczur A., Bazan J. G., Bazan-Socha S., Assessment Measures of an Ensemble Classifier Based on the Distributivity Equation to Predict the Presence of Severe Coronary Artery Disease, International Journal of Applied Mathematics and Computer Science,  (2023), Vol. 33, iss. 3, p. 361-377, DOI: 10.34768/amcs-2023-0026
  2. Rak E., Sarzyński J., Evaluation Metrics for a Hybrid Classification System Based on the Distributivity Equation and the UNSW-NB15 Cyberattack Dataset, Lecture Notes in Networks and Systems (LNNS) ; Vol. 793 ; 2367-3370 ; 2367-3389 (2023)
  3. Depciuch J., Jakubczyk P., Paja W., Pancerz K., Wosiak A., Kula-Maximenko M., Yaylım İ., Gültenkin Güldal İ., Tarhan N., Hakang Mehmet Tolgahan, Sönmez D., Sarıbal D., Arıkan Soykan, Guleken Z., Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer, Nanomedicine: Nanotechnology, Biology, and Medicine, 1549-9634, Tom.3 (2023)
  4. Depciuch J., Jakubczyk P., Paja W., Pancerz K., Wosiak A., Pınar Yalçın Bahat, Ömer Faruk Toto, Huri Bulut & Zozan Guleken, Increased levels of nerve growth factor accompany oxidative load in recurrent pregnancy loss. Machine learning applied to FT-Raman spectra study, Bioprocess and Biosystems Engineering, 1615-7591, Tom 4 (2023)
  5. Kordos, D.; Krzaczkowski, P.; Rzucidło, P.; Gomółka, Z.; Zesławska, E.; Twaróg, B., Vision System Measuring the Position of an Aircraft in Relation to the Runway during Landing Approac, Sensors 2023, 23, 1560, 1424-8220, Tom 23 (2023)
  6. Depciuch J, Paja W., Pancerz K., Özgur Uzun, Huri Bulut, Nevzat Tarhan, Zozan Guleken, Analysis of follicular fluid and serum markers of oxidative stress in women with unexplained infertility by Raman and machine learning methods, Journal of Raman Spectroscopy, https://doi.org/10.1002/jrs.6510 (2023)
  7. Zozan Guleken, Jakubczyk P., Paja W., Pancerz K., Wosiak A., Nevzat Tarhan, MehmetTolgahan, Hakan Dilara, Sönmez Devrim, Sarıbal D. Soykan Arıkan, Depciuch J., An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker, Computer Methods and Programs in Biomedicine, Volume 234, June 2023, 107523
  8. Hawro P., Kwater T., Bartman J., Kwiatkowski B., The look-up algorithm of monitoring an object described by non-linear ordinary differential equations, Bulletin of the Polish Academy of Sciences: Technical Sciences | 2023 | 71 | 2, ISSN 2300-1917
  9. Saravana Balaji B,, Paja W., Milos Antonijevic, Catalin Stoean, Nebojsa Bacanin, Miodrag Zivkovic, IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning, Human-centric Computing and Information Sciences, volume 13, Article number: 19 (2023)
  10. Mokhtar K., Lopushansky A., Lopushanska H., Inverse problem for a time-fractional differential equation with a time- and space-integral conditions, Wiley, https://doi.org/10.1002/mma.9453
  11. Kozlik-Siwiec P., Buregwa-Czuma S., Zawlik I., Dziedzina S., Myszka A., Zuk-Kuwik J., Siwiec-Kozlik A. , Zarychta J., Okoń K. , Zaręba L., Soja J., Jakiela B., Kepski M., Bazan J.G.,  Bazan-Socha S., Co-Expression Analysis of Airway Epithelial Transcriptome in Asthma Patients with Eosinophilic vs. Non-Eosinophilic Airway Infiltration, International Journal of Molecular Sciences 2023, 24,3789
  12. Piechowicz B., Kwiatek A., Sadło S., Zaręba L., Koziorowska A., Kloc D., Balawejder M., Use of Gas Chromatography and SPME Extraction for the Differentiation between Healthy and Paenibacillus larvae Infected Colonies of Bee Brood—Preliminary Research, Agriculture 2023, 13, 487
  13. Przybylski A., Jagielski D., Hrymniak B., Michalak M., Wójcik T., Syska P., Fabiszak T., Rokicki J., Małecka B., Ząbek A., Kaczmarek K., Zaręba L., Sterliński M., Employment of the Evolution RL sheath as a first- hoice device shortens transvenous lead extraction time without affecting procedural safety and efficacy compared to its auxiliary use: Insights from the rospective multicenter EVO registry, Advances in Clinical and Experimental Medicine, ISSN 1899–5276, 2023
  14. Wójcik K., Bazan-Socha S., Celejewska-Wójcik N., Górka K., Lichołai K., Polok K., Stachura T., Zaręba L., Dziedzic R., Gradzikiewicz A., Sanak M. , Musiał J., Sładek T., Iwaniec T., Decreased protein C activity, lower ADAMTS13 antigen and free protein S levels accompanied by unchanged thrombin generation potential in hospitalized COVID -19 patients, Thrombosis Research, 2023
  15. Dziedzic R., Wójcik K., Olchawa M., Sarna T., Pięta J., Jakieła B., Padjas A., KoronaA., Zaręba L., Potaczek D., Kosałka-Węgiel J., Jurczyszyn A., Bazan-Socha S., Increased oxidative stress response in circulating blood of systemic sclerosis patients – relation to disease characteristics and inflammatory blood biomarkers , Seminars in Arthritis and Rheumatism, 2023
  16. Depciuch J., Czarny W., Płonka. A., Podgorski R., Bajorek W., Dziadek B., Kula-Maximenko M., Sznajderf M., Paja W., Shpotyuk Y., Cebulski J., Krol P., Investigation of novel methods for stress level measurements in athletes employing FTIR and Raman spectroscopy techniques, Measurement, 2023
  17. Zozan Guleken, Gizem Suna, S¸ ahika Burcu Karaca, Huri Bulut, Ceylan Ayada, Pancerz K., Paja W., Jakubczyk P., Wrobel T., Cebulski J., Depciuch J., FTIR, RAMAN and biochemical tools to detect reveal of oxidative Stress-Related lipid and protein changes in fibromyalgia, Infrared Physics and Technology 2023
  18. Paja W., Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges, Entropy 2023
  19. Paja W., Szkoła J., Pancerz K., Sarzyński J., Żychowska M, Identification of Melanocytic Skin Lesions Using Deep Learning Methods, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023
  20. Krzysztof P., Andrzej B., Grochowalski P., Paja W., Ontologiczny generator testów wiedzy z tekstów na przykładzie wiedzy o geografii Polski, Barometr Regionalny. Analizy I Prognozy, 19(1), 41–49, 2023
  21. Paja W., Application of the Fuzzy Approach for Evaluating and Selecting Relevant Objects, Features, and Their Ranges, Entropy 2023   
  22. Paja W., Szkoła J., Pancerz K., Sarzyński J., Żychowska M., Identification of Melanocytic Skin Lesions Using Deep Learning Methods, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023
  23. Kluz‑Barłowska M., Kluz T., Paja W., Sarzyński J., Łączyńska‑Madera M., Odrzywolski A., Król P., Cebulski J., Depciuch J., FT‑Raman data analyzed by multivariate and machine learning as a new methods for detection spectroscopy marker of platinum‑resistant women sufering from ovarian cancer Nature.com/Scientific Reports, 2023
  24. PrzybylskiA., Jagielski D., Hrymniak B., Michalak M., Wójcik T., Syska P., Fabiszak T., Rokicki J., Małecka B., Ząbek A., Kaczmarek K., Zaręba L., Sterliński M., Employment of the Evolution RL sheath as a first- hoice device shortens transvenous lead extraction time without affecting procedural safety and efficacy compared to its auxiliary use: Insights from the  rospective multicenter EVO registry, Advances in Clinical and Experimental Medicine, ISSN 1899–5276, 2023
  25. Mizera D., Dziedzic R., Drynda A., Gradzikiewicz A., Jakieła B., Celińska-Löwenhoff M., Padjas A., Matyja-Bednarczyk A., Zaręba L., Bazan-Socha S., Cellular immune response to SARS-CoV-2 in patients with primary antibody deficiencies Frontiers in immunology, 2023
  26. Dziedzic R., Zaręba L., Iwaniec T., Kubicka-Trząska A., Romanowska-Dixon B., Bazan-Socha S., Dropiński J., High prevalence of thrombophilic risk factors in patients with central retinal artery occlusion, Thrombosis Journal 21, Article number: 81 (2023)
  27. Drygaś P. Uninorms and their applications, Wydawnictwo Uniwersytetu Rzeszowskiego, Rzeszów 2023, ISBN 978–83–8277–117–6
  28. Paja W., Szkoła J., Pancerz K., Sarzyński J., Żychowska M., A Preliminary Research on Automatic Identification of Melanocytic Skin Lesions from Digital Images, Procedia Computer Science 225 (2023) 4706–4712
  29. Paja W., Pancerz K., Jakubczyk P., Determining Reference Spectra for Medical Diagnosis Using Clustering Methods, Procedia Computer Science 225 (2023) 4700–4705
  30. Bazan, J.G., Milan, P., Bazan-Socha, S., Wójcik, K.: Application of Federated Learning to Prediction of Patient Mortality in Vasculitis Disease. In: Campagner, A., Urs Lenz, O., Xia, S., Ślęzak, D., Wąs, J., Yao, J. (eds) Rough Sets. IJCRS 2023. Lecture Notes in Computer Science, vol 14481, pp. 526–536. Springer (2023)
  31. Bazan, J., G., Bazan-Socha, S., Bentkowska, U., Gałka, W., Mrukowicz, M., Zarȩba, L.: Aggregation Functions in Researching Connections Between Bio-Markers and DNA Micro-arrays. In: Atanassov, K.T., et al. Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives. IWIFSGN BOS/SOR 2022 2022. Lecture Notes in Networks and Systems, vol 793, pp 106–115. Springer (2023)
  32. Bentkowska, U., Mrukowicz, M. (2023). Parameterized Interval-Valued Aggregation Functions in Classification of Data with Large Number of Missing Values. In: Atanassov, K.T., et al. Uncertainty and Imprecision in Decision Making and Decision Support - New Advances, Challenges, and Perspectives. IWIFSGN BOS/SOR 2022 2022. Lecture Notes in Networks and Systems, pp. 85-94, vol 793. Springer, Cham
  33. International Symposium on Fuzzy Sets – Uncertainty Modelling. Abstratcs, U. Bentkowska, P. Drygaś, A. Król, B. Pękala, E. Rak (Eds.), University of Rzeszów, Rzeszów, Poland,  All papers have been reviewed, pages 1-75, May 19-21, 2023, Wydawnictwo Uniwersytetu Rzeszowskiego, Rzeszów, ISBN 978-83-8277-077-3
  34. Zeslawska, E., Gomolka, Z., Dydek-Dyduch, E. (2024). Application of ALMM Technology to Intelligent Control System for a Fleet of Unmanned Aerial Vehicles. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Communications in Computer and Information Science, vol 1963. Springer, Singapore

Year 2022

  1. Topczewska J., Bartman J., Kwater T., 2022, Assessing the utility value of Hucul horses using classification models, based on artificial neural networks, PLoS ONE, 17(7 July), e0271340
  2. Bartman J., Kwater T., Kwiatkowski B., Mazur D., 2022, Analiza zborności parametrów odbiorników energii elektrycznej w kontekście bezinwazyjnej identyfikacji, Przegląd Elektrotechniczny, 98(11), pp. 265–268
  3. Siwiec-Kozlik, Andzelika and Kuszmiersz, Piotr and Kasper, Lukasz and Frolow, Marzena and Kozlik-Siwiec, Pawel and Iwaniec, Teresa and Kosalka-Wegiel, Joanna and Zareba, Lech and Sladek, Krzysztof and Bazan, Jan G. and Bazan-Socha, Stanislawa and Dropinski, Jerzy: Prothrombotic state, endothelial injury, and echocardiographic changes in non-active sarcoidosis patients. Scientific Reports 12, 21291 (2022). (140 punktów MNiSW).
  4. Stanisława Bazan-Socha, Krzysztof Wójcik, Magdalena Olchawa, Tadeusz Sarna, Jakub Pięta, Bogdan Jakieła, Jerzy Soja, Krzysztof Okoń, Jacek Zarychta, Lech Zaręba, Michał Stojak, Daniel P Potaczek, Jan G Bazan, Magdalena Celińska-Lowenhoff: Increased Oxidative Stress in Asthma—Relation to Inflammatory Blood and Lung Biomarkers and Airway Remodeling Indices, Biomedicines, 2022 Jun 24;10(7):1499 (100 punktów MNiSW).
  5. Bentkowska, U., Bazan, J., G., Zaręba, L., Socha, J., Bazan-Socha, S., Mrukowicz, M.: Interval modelling in optimization of k-NN classifiers for large number of attributes in data sets on an example of DNA microarrays, International Journal of Intelligent Systems, 2022, 37(6), pp. 3334–3372 (100 punktów MNiSW)
  6. Jerzy Dropiński, Radosław Dziedzic, Agnieszka Kubicka-Trząska, Bożena Romanowska-Dixon, Teresa Iwaniec, Lech Zaręba, Jan G Bazan, Agnieszka Padjas, Stanisława Bazan-Socha: Central Retinal Artery Occlusion Is Related to Vascular Endothelial Injury and Left Ventricular Diastolic Dysfunction, Journal of Clinical Medicine, 2022, 11(8), 2263 (140 punktów MNiSW).
  7. Jan G. Bazan, Stanislawa Bazan-Socha, Urszula Bentkowska. Wojciech Gałka, Marcin Mrukowicz, Lech Zarȩba : Comparison of aggregation classes in ensemble classifiers for high dimensional datasets, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2022, 18-23 July 2022, Padua, publisher: IEEE (140 punktów MNiSW).
  8. Bazan J., Bentkowska Urszula, Mrukowicz Marcin, Application of Decision Rules to Discover Knowledge for Fitting Aggregations to Datasets
  9. Drygaś Paweł Ordinal sum of fuzzy implications - comparison and dependence between different constructions, 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / eds. Marco Gori, Alessandro Sperduti, Piero Bonissone
  10. Balicki Krzysztof, Dryaś Paweł Parameterized Pre-aggregation Function with Interval Values in Medical Decisions Making, Information Processing and Management of Uncertainty in Knowledge-Based Systems : 19th International Conference, IPMU 2022, Milan, Italy, July 11-15, 2022,
  11. Gomółka Zbigniew, Twaróg Bogusław, Żesławska Ewa, Dudek-Dyduch Ewa, Knowledge Base component of Intelligent ALMM System based on the ontology approach, Expert Systems with Applications, 2022 : Vol. 199, id. art. 116975, p-ISSN: 0957-4174
  12. Gomółka Zbigniew, Dudek-Dyduch Ewa, Żesławska Ewa, Generalization of ALMM Based Learning Method for Planning and Scheduling, Applied Sciences-Basel, 2022 : Vol. 12, iss. 24, id. art. 12766, p-ISSN: 2076-3417
  13. Gomółka Zbigniew, Żesławska Ewa, Twaróg Bogusław, Kordos Damian, Rzucidło Paweł, Use of a DNN in Recording and Analysis of Operator Attention in Advanced HMI Systems, Applied Sciences-Basel, 2022 : Vol. 12, iss. 22, id. art. 11431
  14. Gomółka Zbigniew, Twaróg Bogusław, Żesławska Ewa, State Analysis of the Water Quality in Rivers in Consideration of Diffusion Phenomenon, Applied Sciences-Basel, 2022 : Vol. 12, iss. 3, id. art. 1549, p-ISSN: 2076-3417
  15. Grochowalski, z. Suraj The RSDS - Bibliographic Database for Rough Sets and Related Fields
  16. Pȩkala B, Mroczek T, Gil D, Kepski M. Application of Fuzzy and Rough Logic to Posture Recognition in Fall Detection System. Sensors. 2022; 22(4):1602. https://doi.org/10.3390/s22041602
  17. Węgrzyn, Kępski Michał, Grabska-Gradzińska Iwona. Eye Tracking Measurement of Train Drivers' Attention Based on Quasi-static Areas of Interest Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence : 9th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31 - June 3
  18. Zozan Guleken, Yeşim Tuyji Tok, Paweł Jakubczyk, Wiesław Paja, Krzysztof Pancerz, Yaroslav Shpotyuk, Jozef Cebulski, Joanna Depciuch, Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level, Measurement, Volume 196, 2022, 111258, ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2022.111258.
  19. Zozan Guleken, Huri Bulut, Berk Bulut, Wiesław Paja, Magdalena Parlinska-Wojtan, Joanna Depciuch, Correlation between endometriomas volume and Raman spectra. Attempting to use Raman spectroscopy in the diagnosis of endometrioma, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Volume 274, 2022, 121119, ISSN 1386-1425, https://doi.org/10.1016/j.saa.2022.121119.
  1. Zozan Guleken, Huri Bulut, Berk Bulut, Wiesław Paja, Barbara Orzechowska, Magdalena Parlinska-Wojtan, Joanna Depciuch, Identification of polycystic ovary syndrome from blood serum using hormone levels via Raman spectroscopy and multivariate analysis, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, Volume 273, 2022, 121029, ISSN 1386-1425, https://doi.org/10.1016/j.saa.2022.121029.
  2. Zozan Guleken, Paweł Jakubczyk, Paja Wiesław, Pancerz Krzysztof, Huri Bulut, Esra Öten, Joanna Depciuch, Nevzat Tarhan, Characterization of Covid-19 infected pregnant women sera using laboratory indexes, vibrational spectroscopy, and machine learning classifications, Talanta, Volume 237, 2022, 122916, ISSN 0039-9140, https://doi.org/10.1016/j.talanta.2021.122916.
  3. Guleken, Bahat Pinar Yalçin, Toto Ömer Faruk, Bulut Huri, Jakubczyk Paweł, Cebulski Józef, Paja Wiesław Andrzej, Pancerz Krzysztof, Wosiak Agnieszka, Depciuch Joanna, Blood serum lipid profiling may improve the management of recurrent miscarriage : a combination of machine learning of mid-infrared spectra and biochemical assays
  4. Jakubczyk Paweł, Paja Wiesław Andrzej, Pancerz Krzysztof, Cebulski Józef, Depciuch Joanna, Uzun Özgur, Tarhan Nevzat, Guleken Zozan Determination of idiopathic female infertility from infrared spectra of follicle fluid combined with gonadotrophin levels, multivariate analysis and machine learning methods
  5. Paja Wiesław Andrzej, Pancerz Krzysztof, Stoean Catalin. COVID-19 antibody level analysis with feature selection approach
  6. Catalin, Bacanin Nebojsa, Paja Wiesław Andrzej, Stoean Ruxandra, Iliescu Dominic, Patru Ciprian, Rodica Nagy Semantic segmentation of fetal heart components in second trimester echocardiography
  7. Dyczkowski, B. Pękala, J. Szkoła, A. Wilbik 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 Federated learning with uncertainty on the example of a medical data.
  8. Depciuch J., Jakubczyk P., Paja W., Sarzyński J., Pancerz K., Açikel M., Keskinöz E., Bingöl Ö., Arbak S., Özgün G., Altuntaş S., Guleken Z.: 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, id. art. 121495
  9. Beata Bąk, Jarosław Szkoła, Jakub Wilk, Piotr Artiemjew, Jerzy Wilde, In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks –
  10. Bartosiewicz Anna, Łuszczki Edyta, Zaręba Lech, Kuchciak Maciej, Bobula Gabriel, Dereń Katarzyna, Król Paweł. Assessment of job satisfaction, self-efficacy, and the level of professional burnout of primary and secondary school teachers in Poland during the COVID-19 pandemic, PeerJ: 2022 : Vol. 10, id. art. e13349
  11. Piechowicz Bartosz, Kuliga Aleksandra, Kobylarz Damian, Koziorowska Anna, Zaręba Lech, Podbielska Magdalena, Piechowicz Iwona, Sadło Stanisław, A case study on the occurrence of pyrimethanil, cyprodinil and cyflufenamid residues in soil and on apple leaves, blossoms and pollen, and their transfer by worker bees to the hive, 2022
  12. Zastrzeżyńska Weronika, Bazan-Socha Stanisława, Przybyszowski Marek, Gawlewicz-Mroczka Agnieszka, Jakieła Bogdan, Plutecka Hanna, Zaręba Lech, Musiał Jacek, Okoń Krzysztof, Sładek Krzysztof, Soja Jerzy Effect of omalizumab on bronchoalveolar lavage matrix metalloproteinases in severe allergic asthma, 2022
  13. Piechowicz, Początek Edyta, Woś Izabela, Zaręba Lech, Koziorowska Anna, Podbielska Magdalena, Grodzicki Przemysław, Szpyrka Ewa, Sadło Stanisław Insecticide and fungicide effect on thermal and olfactory behavior of bees and their disappearance in bees' tissues, 2022
  14. Pacholczak-Madej Renata, Grela-Wojewoda Aleksandra, Puskulluoglu Mirosława, Lompart Joanna, Las-Jankowska Manuela, Krawczak Katarzyna, Wrona Ewa, Zaręba Lech, Żubrowska Justyna, Walocha Jerzy, Bazan-Socha Stanisława, Ziobro Marek. Early Effects of Nivolumab and Ipilimumab Combined Immunotherapy in the Treatment of Metastatic Melanoma in Poland : a Multicenter Experience, 2022
  15. Wójcik, Karpiak Jakub, Zaręba Lech, Przybylski Andrzej The GRACE risk score in patients with ST-segment elevation myocardial infarction and concomitant COVID-19, 2022
  16. Kurszmiersz, Siwiec-Koźlik Andżelika, Pacholczak-Madej Renata, Rams Anna, Celińska-Löwenhof Magdalena, Iwaniec Teresa, Kosałka-Węgiel Joanna, Zaręba Lech, Dziedzic Radosław, Bazan-Socha Stanisława, Dropiński Jerzy. Thrombin generation potential is increased in patients with autoimmune inflammatory myopathies, 2022
  17. Pusz Piotr, Paweł Drygaś Elementy rachunku prawdopodobieństwa, 2022

Year 2021

  1. Pękala B., Bentkowska U., Dyczkowski K, Grzegorzewski P. Inclusion and similarity measures for interval-valued fuzzy sets based on aggregation and uncertainty assessment Information Sciences 2021, 200 p
  2. Pekala B., Kosior D., Szkoła J. Dyczkowski K. Application of entropy measures with uncertainty in classification methods with missing data problem, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 978-1-6654-4407-1, 2021, 140 p.
  3. Pekala B., Kosior D., Szkoła J., Dyczkowski K. Classification of uncertain data with a selection of relevant features based on similarities measures of Interval-Valued Fuzzy Sets, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)        978-1-6654-4407-1, 140 p.
  4. Grochowalski P., Król A., Rząsa W. Radius kNN Classifier Using Aggregation of Fuzzy Equivalences 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 978-1-6654-4407-1,     140 p.
  5. Paja W., Pękala B., Sarzyński J., Pancerz K. Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 978-1-6654-4407-1, 140 p.
  6. Ochab M., Mrukowicz M., Sarzyński J., Bentkowska U. Human- and Machine-Generated Traffic Distinction by DNS Protocol Analysis, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  978-1-6654-4407-1, 140 p.
  7. Grochowina M., Leniowska L.   Applying DCT Combined Cepstrum for the Assessment of the Arteriovenous Fistula Condition, Springer, 2021 978-3-030-77966-5, 140 p.
  8. Suraj  Z. A Hybrid Approach to Approximate Real-time Decision Making, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 978-1-6654-4407-1, 140 p.
  9. Bloshko Y., Suraj Z., Olar O. Towards Optimization of Triangular Norms in Weighted Fuzzy Petri Nets for Hierarchical Applications in Subject Area of Passenger Transport Logistics, 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)        978-1-6654-4407-1, 140 p.
  10. Kępski M., Bazan J.G., S. Bazan-Socha, S. Buregwa-Czuma, B. Jakieła, L. Zaręba, I. Zawlik, A. Myszka, J. Soja, K. Okoń, J. Zarychta, P. Koźlik, S. Dziedzina, A. Padjas, K. Wójcik, Reticular Basement Membrane Thickness is associated with growth - and fibrosis-promoting airway transcriptome profile -Study in Asthma Patients, 2021 International Journal of Molecular Sciences 1422-0067,            140 p.
  11. Bazan J.G., S. Bazan-Socha, B. Jakiela, J. Zuk, J. Zarychta, J. Soja, K. Okon, S. Dziedzina, L. Zaręba, J. Dropiński, K. Wojcik, A. Pajdas, C. Marcinkiewicz Interactions via α2β1 Cell Integrin May Protect against the Progression of Airway Structural Changes in Asthma, 2021 International Journal of Molecular Sciences, 140 p.
  12. Lozynskyy, D. Mazur, Y. Marushchak, B. Kwiatkowski, A. Lozynskyy, T. Kwater, B. Kopchak, P. Hawro, L.Kasha, R. Pękala, R. Ziemba, B. Twaróg Formation of Characteristic Polynomials on the Basis of Fractional Powers j of Dynamic Systems and Stability Problems of Such Systems, 2021 Energies, 140 p.
  13. Bloshko Y., Suraj Z., Olar O. The Analysis of Triples of Triangular Norms for the Subject Area of Passenger Transport Logistics, Springer 2021,              20 p.
  14. Bloshko Y., Suraj Z., Olar O. The Analysis of Human Oriented System of Weighted Fuzzy Petri Nets for the Passenger Transport Logistics Problem, Springer 2021, 20 p.
  15. Lasek P. SODA: A Real-time Simulation Framework for Object Detection and Analysis in Smart Manufacturing, International Conference on Knowledge-Based and Intelligent Information and Engineering Systems [KES] 2021, 70 p.
  16. Bloshko Y., Suraj Z., Olar O. Modeling of Passenger Transport Logistics Based on Intelligent Computational Techniques, Springer 2021, 70 p.
  17. Suraj Z., Grochowalski P., The RSDS: A Current State and Future Plans 2021 Springer,  20 p.
  18. Suraj Z., Grochowalski P., PNeS in Modelling, Control and Analysis of Concurrent Systems Springer 2021, 20 p.
  19. Suraj Z., Bloshko Y., Olar O. The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics Springer 2021, 20 p.
  20. Gomółka Z., Twaróg B., Żesławska E. Fractional Order Derivative Mechanism to Extract Biometric Features , 2021, DepCos, 40 p.
  21. Paja W. Identification of Relevant Medical Parameter Values in Information Systems using Fuzzy Approach, Precedia Computer Science 2021, 70 p.
  22. Bartman J., Kwater T.    Identification of Electrical Appliances Using Their Virtual Description and Data Selection for Non-Intrusive Load Monitoring, 2021  IEEE Transactions on Consumer Electronics  100 p.
  23. Pekala B., Bentkowska U., H. Bustince, J. Lafuente, J. Fernandez New Type of Equivalence Measure for Atanassov Intuitionistic Fuzzy Setting, 2021 Uncertainty and Imprecision in Decision Making and Decision Support: New Challenges, Solutions and Perspectives pp 13-2, Springer, 20 p.
  24. Pękala B., Bentkowska U., Kosior D., T. Zdenko, C. Aitor, Sesma-Sara Mikel, F. Javier, L. Julio, B. Humberto Interval-valued equivalence measures respecting uncertainty in image processing, 2021 International Journal of Intelligent Systems, 100 p.
  25. Bober D., Włodyka W.  The training application based on VR interaction scenarios - with examples for Logistics, 2021 Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 20 p.
  26. Bartman J., T. Kwater, P. Hawro, D. Mazur The algorithm of adaptive determination of amplification of the PD filter estimating object state on the basis of signal measurable on-lin Archives of Control Sciences 1230-2384, 2021, 100 p.
  27. Pusz P.,  M. Zima Elementy metod numerycznych, 2020, Wydawnictwo Uniwersytetu Rzeszowskiego 978-83-7996-825-1, 80 p

Year 2020

  1. Bober Dariusz, Combrzyński Maciej, Matwijczuk Arkadiusz, Wójtowicz Agnieszka, Oniszczuk Tomasz, Karcz Dariusz, Szponar Jarosław, Niemczynowicz Agnieszka, Mitrus Marcin, Kupryaniuk Karol, Stasiak Mateusz, Dobrzański Bohdan, Oniszczuk Anna: Potato Starch Utilization in Ecological Loose-Fill Packaging Materials-Sustainability and Characterization Materials 2020

  2. Bazan Jan G., Kozik Paweł, Żuk Joanna, Bartyzel Sylwia, Zarychta Jacek, Okoń Krzysztof, Zaręba Lech, Bazan Jan G., Kosałka Joanna, Soja Jerzy, Musiał Jacek, Bazan-Socha Stanisława:The relationship of airway structural changes to blood and bronchoalveolar lavage biomarkers, and lung function abnormalities in asthma. Clinical and Experimental Allergy

  3. Gomółka Zbigniew., Twaróg Bogusław., P. Krutys, E. Zeslawska: A new approach to spatiotemporal estimation of the river state Journal of Process Control 2020

  4. Król Anna, Rząsa Wojciech, Grochowalski Piotr: Aggregation of Fuzzy Equivalences in Data Exploration by kNN Classifier IEEE WCCI 2020, Glasgow, Wielka Brytania, 19-24.07.2020

  5. Drygaś Paweł, Król Anna, Baczyński M., Pusz Piotr: Developing Idea of Ordinal Sum of Fuzzy Implications IEEE WCCI 2020, Glasgow, Wielka Brytania, 19-24.07.2020

  6. Pękala Barbara, Mrukowicz Marcin, Bazan Jan G., Rak Ewa, Kosior Dawid: Application of similarity measures with uncertainty in classification methods IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  7. Pękala Barbara, Rak Rafał, Rak Ewa, Kwiatkowski Bogusław, Szczur Adam: The use of concave and convex functions to optimize the feed-rate of numerically controlled machine tools IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  8. Bazan Jan G., Drygaś Paweł, Zaręba Lech, Molenda Piotr: A new method of building a more effective ensemble classifiers IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  9. Bentkowska Urszula, Bazan G., Mrukowicz Marcin, Zaręba Lech, Molenda Piotr: Multi-class classification problems for the k-NN algorithm in the case of missing values  IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  10. Pękala Barbara, Bentkowska Urszula, Szkoła Jarosław, Rząsa Wojciech, Kosior Dawid, J. Fernandez, L.De Miguel, H. Bustince: General local properties of fuzzy relations andfuzzy multisets used to an algorithm for group decision making IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  11. Drygaś Paweł, Pękala Barbara, Balicki Krzysztof, Kosior Dawid: Influence of new interval-valued pre-aggregation function on medical decision making IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  12. Pękala Barbara, Szkoła Jarosław, K. Dyczkowski, Baczyński, T. Piłka:The ordering methods of interval-valued fuzzycardinal numbers with application in an uncertaindecision making IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  13. Bazan Jan G., Szczur Adam, Rząsa Wojciech, Rak Ewa: The distributivity law as a tool of k-NN classifiers' aggregation: mining a cyber-attack data set IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  14. Bentkowska Urszula, Kępski Michał, Mrukowicz Marcin, Pękala Barbara: New fuzzy local contrast measures: definitions,evaluation and comparison IEEE Conference on Fuzzy Systems (FuzzIEEE). Glasgow, Scotland, UK, 19-24 July 2020

  15. Pękala B., Jarosław Szkoła, Krzysztof Dyczkowski, and Tomasz Piłka, New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers, 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems. Lisbon, Portugal, June 15th – 19th 2020 WoS, CORE – 20 p.

  16. Pękala B., Bentkowska U., M Sesma-Sara, J Fernandez, J Lafuente, et al., Interval subsethood measure with respect to uncertainty for interval-valued fuzzy setting, International Journal of Computational Intelligence Systems, 13 (1) (2020), 167–177 IF 1,838, 70 p.

  17. Rak E. The Fractional Preferential Attachment Scale-Free Network Model, 2020, Entropy 1099-4300, 100 p.

  18. Rak R., Kwapień J., Oświęcimka P., Zięba P., Drożdż S. Universal features of mountain ridge networks on Earth, 2020, Journal of Complex Networks 2051-1310, 100 p.

  19. Gomółka Z., Kordos D., Zesławska E. The Application of Flexible Areas of Interest to Pilot Mobile Eye Tracking, 2020 Sensors 1424-8220, 100 p.

  20. Pancerz K., Lewicki A. Ant-Based Clustering for Flow Graph Mining, 2020 International Journal of Applied Mathematics and Computer Science, 100 p.

  21. Łopuszański A., Łopuszański O., Szpila A. Fractional abstract Cauchy problem on complex interpolation scales, 2020, Fractional Calculus and Applied Analysis 1314-2224, 100 p.

  22. Łopuszański A., Łopuszański O., Sharyn S. Nonlinear inverse problem of control diffusivity parameter determination for a space-time fractional diffusion equation, 2020 Applied Mathematics and Computation, 100 p.

  23. Bentkowska U., Interval-Valued Methods in Classifications and Decisions, 2020 Springer, 80 p.

  24. PękalaB., Bentkowska U., Knap M., Sesma-Sara Mikel, Fernandez Javier, Lafuente Julio, Altalhi Abdulrahman Helal,  Bustince Humberto, Pintor Jesús M. Interval subsethood measures with respect to uncertainty for the interval-valued fuzzy setting, 2020 International Journal of Computational Intelligence Systems 1875-6891, 70 p.

  25. Kozioł, W., Pancerz K., Sikora, K., Dudek, K. Dealing with Polysemy in the Polish Sign Language Using the OWL Ontology, 2020 Proceedings of the 24nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2020), Procedia Computer Science, 70 p.

  26. Pancerza K., Chyła, M., Augustynowicz S., Gomuła, J. Experiments with Fuzzification of MMPI Profiles for the Classification Task, 2020 Proceedings of the 24nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2020), Procedia Computer Science, 2020, 70 p.

  27. Paja W., Knap M., A Constructive Induction of Feature using Random Forest Approach, 2020 Procedia Computer Science (KES), 70 p.

  28. Suraj Z., Bloshko Y., Olar O. Hierarchical weighted fuzzy Petri nets and their application for transport logistics problem, 2020 Conference of Intelligent Systems and Knowledge Engineering, 70 p.

  29. Gomółka Z., Twaróg B., Zesławska E., Nykiel A. Biometric Data Fusion Strategy for Improved Identity Recognition, DepCoS-RELCOMEX 2020, Springer, 40 p.

  30. Pancerz K. Rough Set Based Descriptions of Plasmodium Propagation, 2020 High-Level Models of Unconventional Computations  978-3-319-91772, 40 p.

  31. Pekala B., Szkoła J., Dyczkowski K., Piłka T. New Methods for Comparing Interval-Valued Fuzzy Cardinal Numbers, 2020 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020: Information Processing and Management of Uncertainty in Knowledge-Based Systems, 40 p.

  32. Suraj Z., Hassanien A.E., Bandyopadhyay S. Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning, 2020 International Joint Conference on Rough Sets, 20 p.

  33. Gomółka Z. Fractional Backpropagation Algorithm – Convergence for the Fluent Shapes of the Neuron Transfer Function, 2020 International Conference on Neural Information Processing, 140 p.

Year 2019

  1. Bazan J.G, Feng-Xia Zhang, Ewa Rak, On the distributivity of continuous triangular norms and triangular conorms with respect to 2-uninorms Fuzzy Sets and Systems, 2019
  2. Bazan J.G , Bazan-Socha S., Ochab M., Buregwa-Czuma S., Nowakowski T, Woźniak M., Effective construction of classifiers with the k-NN method supported by a concept ontology Knowledge and Information Systems, 2019
  3. Bazan J.G., Szczur A., Skowron A., Rzepko M., Król P., Bajorek W., Czarny W., A Classifier Based on a Decision Tree with Temporal Cuts Fundamenta Informaticae, 2019
  4. Drygaś P., Bazan Jan G.,  Knap M., Pusz P., Application of Uninorms to Aggregate Uncertainty from Many Classifiers,  Journal of Automation, Mobile Robotics and Intelligent System, 2019
  5. Bentkowska U., Pękala B., Rząsa W., The stability of local properties of fuzzy relations under ordinal equivalence Information Sciences, 2019
  6. Bentkowska U.,  Król A.,  Fuzzy α–C-equivalences  Fuzzy Sets and Systems, 2019
  7. Pekala B., Bentkowska U., Fernandez J., Bustince H., Equivalence measures for Atanassov intuitionistic fuzzy setting used to algorithm of image processing  Fuzzy Systems (FUZZ-IEEE), IEEE International Conference, Springer, 2019
  8. Bentkowska U., Poperties of fuzzy relations and aggregation process in decision making Iranian Journal of Fuzyy Systems, 2019
  9. Drygaś P., Y. Su,  W. Zong Properties of uninorms with the underlying operations given as ordinal sums Fuzzy Sets and Systems, 2019
  10. Drygaś P., Dragan Jočić Ivana Štajner-Papuga Left and right distributivity equations in the class of semi---operators, Fuzzy Sets and Systems, 2019
  11. Lasek P., GryzJ., Density-Based Clustering with Constraints Computer Science and Information Systems, 2019
  12. Lasek P., Zhen. M., Clustering and visualization of a high-dimensional diabetes dataset Procedia Computer Science, 2019
  13. Łopuszański A., Łopuszańska H., Inverse problem with a time-integral condition for a fractional diffusion equation  Mathematical Methods in the Applied Sciences, 2019
  14. Paja W., Catalin Stoean, Ruxandra Stoean, Adrian Sandita Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations  PLoS ONE, 2019        
  15. Paja W., Generational Feature Selection using Random Forest Approach Proceedings of the International Conference on Information and Digital Technologies 2019, IDT 2019 : Zilina, Slovakia, 25-27 June, 2019
  16. Paja W., Tree-based generational feature selection in medical applications Procedia Computer Science, 2019
  17. Szkoła J.,  Pancerz K., Pattern Recognition in Sequences Using Multistate Sequence Autoencoding Neural Networks  IEEE 2019 International Conference on Information and Digital Technologies (IDT), 2019          
  18. Pancerz K., Grębski T., Kulicki P., Experiments with Recognition of Melody Similarities Based on Human Independent Parameters IEEE, 2019 International Conference on Information and Digital Technologies (IDT), 2019
  19. Pancerz K., Lewicki A., Sarzyński J., Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS) International Joint Conference on Rough Sets 2019
  20. Pancerz K., Grębski T., Kulicki P., Automatic Recognition of Melody Similarity  Artificial Intelligence and Soft Computing, 18th International Conference, (ICAISC'2019), Proceedings, Part II, Zakopane, Poland, June 16–20, 2019, Lecture Notes in Artificial Intelligence, Vol. 11509, Springer, 2019
  21. Pancerz K., Schumann A., High-level models of unconventional computations: a case of plasmodium Springer, 2019 (eBook)              
  22. Pękala B.,  Comparing uncertainty data in epistemic and ontic sense used to decision making problem Iranian Journal of Fuzzy Systems, 2019
  23. Pekala B., Uncertainty Data in Interval-Valued Fuzzy Set Theory : Properties, Algorithms and Applications Springer, 2019
  24. Suraj Z., Sibasis Bandyopadhyay,  Prasun Kumar Nayak  Soft Petri Net Rough Sets : International Joint Conference, IJCRS 2019, Debrecen, Hungary, June 17-21, 2019         
  25. Suraj Z., Aboul Ella Hassanien, Fuzzy Petri Nets and Interval Analysis Working Together Uncertainty Management with Fuzzy and Rough Sets : Recent Advances and Applications / editors Rafael Bello, Rafael Falcon, José Luis Verdegay, Cham. Springer Interantional Publishing, 2019          
  26. Suraj Z.,  Linking Fuzzy Petri Nets with Interval Analysis Proceeding of the International Caonference on Advanced Intelligent Systems and Informatics 2018, Chma. Springer International Publishing, 2019
  27. Suraj Z.,  On Selection of Relevant Fuzzy Implications in Approximate Reasoning Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2018, Cham. Springer (eBook), 2019
  28. Gomóła Z., Neurons' Transfer Function Modeling with the Use of Fractional Derivative Springer International Publishing, 2019            
  29. Gomółka Z., Twaróg B., Zesławska E., The implementation of an intelligent algorithm hybrid biometric identification for the exemplary hardware platforms Springer International Publishing, 2019
  30. Gomółka Z., Twaróg B., Zesławska E., Kordos D., Registration and Analysis of a Pilot's Attention Using a Mobile Eyetracking System Cham : Springer, 2019
  31. Gomółka Z., Twaróg B., Dyduch E., Żesławska E., The Concept of the ALMM Solver Knowledge Base Retrieval Using Protégé Environment Cham : Springer, 2019                   
  32. Gomółka Z., Kozlov O., V., Kondratenko Galyna V., Kondratenko Yuriy Panteliyovych Synthesis and optimization of green fuzzy controllers for the reactors of the specialized pyrolysis plants Cham : Springer, 2019
  33. Gomółka Z., Twaróg B., Krutys P.,  Żesławska E., Synchronization of the vector state estimation methods with unmeasurable coordinates for intelligent water quality monitoring systems in the river Journal of hydrology, 2019
  34. Twaróg B., Kwater T., Hawro P., Pekala R., Sorf sensor with adaptive algorithm for filter gain correction in the online monitoring systems a polluted river Applied Sciences-Basel, 2019  

  35. Pancerz K., Schuman A. Rough Set Based Description of Plasmodium Propagation , International Journal of Unconventional Computing, 2019