Publications

Articles from Foreign Journals Placed on the Current List of JCR:

  1. Bazan, J., Nguyen, H., Son, Szczuka, M.: A view on Rough Set Concept Approximations, Fundamenta Informaticae, 59, 107-118 (2004).
  2. Stepaniuk, J., Bazan, J., Skowron, A.: Modelling Complex Patterns by Information Systems, Fundamenta Informaticae, 67, 203-217 (2005).
  3. Synak, P., Bazan, J., Skowron, A., Peters, J., F.: Spatio-Temporal Approximate Reasoning over Complex Objects, Fundamenta Informaticae, 67, 249-269 (2005).
  4. Bazan, J.: Behavioral Pattern Identification Through Rough Set Modeling, Fundamenta Informaticae, 72, 1-3, 37-50 (2006).
  5. Bazan, J., Kruczek, P., Bazan-Socha, S., Skowron, A., Pietrzyk, J., J.: Rough Set Approach to Behavioral Pattern Identification, Fundamenta Informaticae, 75, 1-4, 27-47 (2007).
  6. Góra, G., Bazan, J., Kruczek, P., Bazan-Socha, S., Skowron, A., Pietrzyk, J.: Case-based planning of treatment of infants with respiratory failure, Fundamenta Informaticae,  Volume 85, Number 1-4, p. 155-172 (2008).
  7. Skowron, A., Stepaniuk, J., Jankowski, A., Bazan, J., G., Swiniarski, R., W.: Rough Set Based Reasoning About Changes, Fundamenta Informaticae, Volume 119, Number 3-4, p. 421-437 (2012).
  8. Bazan, J., G., Buregwa-Czuma, S.: A Domain Knowledge as A Tool For Improving Classifiers, Fundamenta Informaticae, Volume 127, Number 1-4, p. 495-511 (2013).
  9. Bazan-Socha S., Joanna Żuk, Hanna Plutecka, Bogdan Jakieła, Ewa Mlicka-Kowalczyk1, Bartosz Krzyżanowski, Cezary Marcinkiewicz, Lech Zaręba, Jan G. Bazan, Jacek Musiał, Tomasiak-Łozowska M.M., Bodzenta-Łukaszyk A., Tomasiak M., Skiepko R., Zietkowski Z.: Blocking of α1β1 and α2β1 adhesion molecules inhibits eosinophil migration through human lung microvascular endothelial cell monolayer. POSTEP HIG MED DOSW, 68, 1444-1451 (2014).
  10. Maciura, Ł., Bazan, J., G.: Granular Computing in Mosaicing of Images from Capsule Endoscopy, Natural Computing 14(4): 569-577 (2015).
  11. Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, Dydo, L., Rzasa, W., Skowron, A.: A classifier based on a decision tree with verifying cuts, Fundam. Inform. 143(1-2): 1-18 (2016).
  12. Bazan, J., G., Szpyrka, M., Szczur, A., Dydo, L., Wojtowicz, H.: Classifiers for Behavioral Patterns Identification Induced from Huge Temporal Data, Fundam. Inform. 143(1-2): 19-34 (2016)
  13. Zaręba L., Bazan J., S. Bazan-Socha, L. Mastalerz, A. Cybulska, R. Kremers, M. Zabczyk, G. Pulka, T. Iwaniec, C. Hemker, A. Undas: Impaired fibrinolysis and lower levels of plasma α2 - macroglobulin are associated with an increased risk of severe asthma exacerbations. Scientific Reports, 2045-2322 (2017).

Articles from Foreign Journals indexed in Web of Science:

  1. Bazan, J., Szczuka, M., S., Wróblewski, J.: A New Version of Rough Set Exploration System, Lecture Notes in Artificial Intelligence 2475, 397-404, Berlin, Heidelberg: Springer-Verlag (2002).
  2. Bazan, J., Osmólski, A., Skowron, A., Ślęzak, D., Szczuka, M., S., Wróblewski, J.: Rough Set Approach to the Survival Analysis, Lecture Notes in Artificial Intelligence 2475, 522-529, Berlin, Heidelberg: Springer-Verlag (2002).
  3. Bazan, J., Nguyen, Hung, S., Skowron, A.,  Szczuka, M.: A View on Rough Set Concept Approximations, Lecture Notes in Artificial Intelligence 2639, 181-188, Berlin, Heidelberg: Springer-Verlag (2003).
  4. Bazan, J.,  A., Skowron, A., Ślęzak, D., Wróblewski, J.: Searching for the Complex Decision Reducts: The Case Study of the Survival Analysis, Lecture Notes in Artificial Intelligence 2871, 160-168, Berlin, Heidelberg: Springer-Verlag (2003).
  5. Bazan, J.: Classifiers Based on Two-Layered Learning, Lecture Notes in Artificial Intelligence 3066, 356-361, Berlin, Heidelberg: Springer-Verlag (2004).
  6. Bazan, J., Szczuka, M., Wojna, A., Wojnarski, M.: On the Evolution of Rough Set Exploration System, Lecture Notes in Artificial Intelligence 3066, 592-601, Berlin, Heidelberg: Springer-Verlag (2004).
  7. Bazan, J., Nguyen S. Hoa, Nguyen H. Son, Skowron, A.: Rough Set Methods in Approximation of Hierarchical Concepts, Lecture Notes in Artificial Intelligence 3066, 346-355, Berlin, Heidelberg: Springer-Verlag (2004).
  8. Nguyen, S., Hoa, Bazan, J., Skowron, A., Nguyen H. Son: Layered Learning for Concept Synthesis, Lecture Notes in Computer Science  3100, Transactions on Rough Set 1, 187-208, Berlin, Heidelberg: Springer-Verlag (2004).
  9. Bazan, J., Peters, J. F., Skowron, A.: Behavioral pattern identification through rough set modelling, Lecture Notes in Artificial Intelligence 3642, 688-697, Berlin, Heidelberg: Springer-Verlag (2005).
  10. Bazan, J., Latkowski, R., Szczuka, M.: DIXER - Distributed Executor for Rough Set Exploration System, Lecture Notes in Artificial Intelligence 3642, 39-47, Berlin, Heidelberg: Springer-Verlag (2005).
  11. Skowron, A., Wang, H., Wojna, A., Bazan, J.: A Hierarchical Approach to Multimodal Classification, Lecture Notes in Artificial Intelligence 3642, 119-127, Berlin, Heidelberg: Springer-Verlag (2005).
  12. Bazan, J., Skowron, A.: On-line Elimination of Non-Relevant Parts of Complex Objects  in Behavioral Pattern Identification, Lecture Notes in Computer Science 3776, 720-725, Berlin, Heidelberg: Springer-Verlag (2005).
  13. Bazan, J., Szczuka, M.: The Rough Set Exploration System, Lecture Notes in Computer Science 3400, Transactions on Rough Sets III, 37-56, Berlin, Heidelberg: Springer-Verlag (2005).
  14. Bazan, J., Latkowski, R., Szczuka, M.: Missing Template Decomposition Method and Its Implementation in Rough Set Exploration System, Lecture Notes in Artificial Intelligence 4259, 254-263, Berlin, Heidelberg: Springer-Verlag (2006).
  15. Bazan, J., Kruczek, P.,  Bazan-Socha, S., Skowron, A., Pietrzyk, J.: Automatic planning of treatment of infants with respiratory failure through rough set modeling, Lecture Notes in Artificial Intelligence, 418-427, Berlin, Heidelberg: Springer-Verlag (2006).
  16. Skowron, A., Wang, H., Wojna, A., Bazan, J.: Multimodal Classification: Case Studies, Lecture Notes in Computer Science 4100, Transactions on Rough Sets V, 224--239, Berlin, Heidelberg: Springer-Verlag (2006).
  17. Bazan,. J., Skowron, A., Swiniarski , R.: Rough Sets and Vague Concept Approximation: From Sample Approximation to Adaptive Learning, Lecture Notes in Computer Science 4100, Transactions on Rough Sets V, 39-62, Berlin, Heidelberg: Springer-Verlag (2006).
  18. Bazan, J., Skowron, A.: Interactive Rough-Granular Computing in Pattern Recognition, Lecture Notes in Computer Science 5909, 92-97 (2009), Berlin, Heidelberg: Springer.
  19. Marcin Wojnarski, Andrzej Janusz, Hung Son Nguyen, Jan Bazan, ChuanJiang Luo, Ze Chen, Feng Hu, Guoyin Wang, Lihe Guan, Huan Luo, Juan Gao, Yuanxia Shen, Vladimir Nikulin, Tian-Hsiang Huang, Georey J. McLachlan, Matko Bosnjak, Dragan Gamberger: RSCTC'2010 Discovery Challenge: Mining DNA Microarray Data for Medical Diagnosis and Treatment, Lecture Notes in Computer Science 6086, 4-19 (2010), Berlin, Heidelberg: Springer-Verlag.
  20. Bazan, J., G., Buregwa-Czuma, Pardel, P., W.,  Bazan-Socha, S., Sokolowska, B., Dziedzina, S.: Predicting the Presence of Serious Coronary Artery Disease Based on 24 Hour Holter ECG Monitoring,  Transactions on Rough Sets 19, Lecture Notes in Computer Science 8988, 95-113, Berlin, Heidelberg: Springer-Verlag (2015).
  21. Buregwa-Czuma S., BazanJ.G., Bazan-Socha S., Rzasa W., DydoL., Skowron A.: Resolving the conflicts between cuts in a decision tree with verifying cuts.In: Polkowski, L., Yao, Y., Artiemjew, P., Ciucci, D., Liu, D., Slęzak, D., Zielosko, B. (Eds.) Rough Sets International Joint Conference, IJCRS 2017,Olsztyn, Poland, July 3-7, 2017, Proceedings Part II, Lecture Notes in Artificial Intelligence 10314 Springer 2017, ISBN 978-3-319-60839-6, pp.403-422.

Materials of Foreign Conferences indexed in Web of Science:

  1. Bazan, J.,G., Hung Son Nguyen, Skowron, A., Slezak, D., Semantic search and analytics over large repository of scientific articles. In: Semantic Recognition of Digital Documents, In: Marek Niezgódka, Robert Bembenik Henryk Rybiński, Łukasz Skonieczny (eds). Intelligent Tools for Building a Scientific Information Platform, Studies in Computational Intelligence 390, pp. 1-9, Springer (2012).
  2. Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, S., Pardel, P., Sokolowska, B.: Predicting the presence of serious coronary artery disease based on 24 hour Holter ECG monitoring. In: M. Ganzha, L. Maciaszek, M. Paprzycki (Eds.),  Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS'2012), Wroclaw, Poland, September 9-12, (2012), pp. 279-286, IEEE Xplore - digital library.
  3. Szpyrka, M., Szczur, A., Bazan, J., G.: Extracting of temporal patterns from data for hierarchical classifiers construction, In Proceedings of the 2nd international conference on cybernetics : Gdynia, Poland, 24–26 June 2015 (CYBCONF 2015), 330-335, 2015.
  4. Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha: Automatic Medical Objects Classification Based on Data Sets and Domain Knowledge. BDAS 2015: 415-424
  5. Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha: A two-level classifier for automatic medical objects classification. FedCSIS 2015: 139-143.
  6. A. Szczur, J.G. Bazan, Ł. Dydo: Extracting of temporal patterns from data for hierarchical classfiers construction, IEEE 2nd International Conference on Cybernetics (CYBCONF) Location: Gdynia, Poland, Date: JUN 24-26, 2015,  2015 IEEE 2ND INTERNATIONAL CONFERENCE ON CYBERNETICS (CYBCONF)  Pages: 330-335   Published: 2015

 

Book Chapters:

Bazan, J.: A Comparison of Dynamic and non-Dynamic Rough Set Methods for Extracting Laws from Decision Table, In Polkowski L., Skowron  A. (eds.): Rough Sets in Knowledge Discovery. Heidelberg: Physica-Verlag, 321--365 (1998).

Bazan, J., Nguyen, Hung, S., Nguyen, Tuan, T. Skowron, A., Stepaniuk, J.: Synthesis of Decision Rules for Object Classification, In Orłowska E. (ed.): Incomplete Information: Rough Set Analysis. Heidelberg: Physica-Verlag 23--57 (1998).

Bazan, J., Nguyen Hung Son, Nguyen Sinh Hoa, Synak, P., Wróblewski, J.: Rough Set Algorithms in Classification Problem, In Polkowski, L., Tsumoto, S., Lin, T., Y. (eds.): Rough Set Methods and Applications. Heidelberg: Physica-Verlag 49-88 (2000).

Bazan, J., Skowron, A.: Classifiers Based on Approximate Reasoning Schemes, In Dunin-Keplicz, B., Jankowski, A., Skowron, A., and Szczuka, M. (eds.), Monitoring, Security, and Rescue Tasks in Multiagent Systems, Advances in Soft Computing, Springer, Heidelberg, 191-202 (2005).

Bazan, J., Kruczek, P., Bazan-Socha, S., Skowron, A., Pietrzyk, J., J.: Rough Set Approach to Behavioral Pattern Identification, In Orłowska, E., Peters, J., F., Rozenberg, G., Skowron, A. (eds.), New Frontiers in Scientific Discovery, IOS Press, 27--47 (2007).

Bazan, J.: Rough Sets and Granular Computing in Behavioral Pattern Identification and Planning, In Orłowska, Pedrycz, W., Skowron, A., Kreinovich, V. (eds.), Handbook of Granular Computing, John Wiley & Sons, Chichester, England, 777-799 (2008).

Bazan, J., Skowron, A., Stepaniuk, J., Świniarski, R.: Rough sets and vague concepts, In: Reminiscing Ideas and Interactions: Essays in honour of Mihir Kr. Chakraborty, Calcutta: Dutta Print  er, 2011, s. 38-72.

Skowron, A., Stepaniuk, J., Jankowski A., Bazan J., G., Swiniarski R.: Toward rough calculus: Rough set based reasoning about changes. A. Wakulicz-Deja (red.):  Systemy Wspomagania Decyzji, Wyd. Uniwersytetu Śląskiego, Katowice 2012, s. 27-42

Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, S., Pardel, P., Skowron, A., Sokolowska, B.: Classifiers Based on Data Sets and Domain Knowledge: A Rough Set Approach, In: Skowron, A., Suraj, Z. (Eds.), Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam. Intelligent Systems Reference Library, Vol. 43, Springer-Verlag, Berlin Heidelberg, 2013, pp. 93-136.

Articles from Foreign Journals not indexed in Web of Science:

  1. Bazan, J., Skowron, A., Synak, P.: Dynamic reducts as a tool for extracting laws from decision tables, Lecture Notes in Artificial Intelligence 869, 346--355, Berlin: Springer-Verlag (1994).
  2. Bazan, J.: Discovery of Decision Rules by Matching New Objects Against Data Tables, Lecture Notes in Artificial Intelligence 1424, 521-528, Berlin: Springer-Verlag (1998).
  3. Bazan, J., Szczuka, M.: RSES and RSESlib - A Collection of Tools for Rough Set Computations, Lecture Notes in Artificial Intelligence 2005, 106-113, Berlin, Heidelberg: Springer-Verlag (2001).
  4. Bazan,. J.: Hierarchical Classifiers for Complex Spatio-temporal Concepts, Lecture Notes in Computer Science 5390, Transactions on Rough Sets IX, 474--750, Berlin, Heidelberg: Springer-Verlag (2008).
  5. Dominik Ślęzak, Andrzej Janusz, Wojciech Świeboda, Hung Son Nguyen, Jan G. Bazan and Andrzej Skowron:  Semantic Analytics of PubMed Content, Lecture Notes in Computer Science 7058, 63-74, Springer 2011.
  6. Dydo L., Bazan J., Buregwa-Czuma S., Rząsa W., Skowron A.: Verifying cuts as a tool for improving a classifier based on a decision tree. FedCSIS September 11-14, 2016, Gdańsk, Poland
  7. Bazan, J., G., Szczur, A., Rzepko M., Król P., Skowron A.: A Classifier Based on a Decision Tree with Temporal Cuts, in Proceedings of 26th International Workshop on Concurrency, Specification and Programming (CS&P 2017), Warszawa, Poland, 2017, September 25-27,

Materials of Foreign Conferences not indexed in Web of Science:

  1. Swiniarski, R., Skowron, A., Bazan, J., Thyagarajan, K.: Application of Rough Sets, Neural Networks and Maximum Likelihood for Texture Classification Based on Singular Value Decomposition, Proceedings of the Third International Workshop on Rough Sets and Soft Computing (RSSC 1994), 332-339, San Jose, California (1994).
  2. Bazan, J., Nguyen H. Son, Nguyen T. Trung, Skowron, A., Stepaniuk, J.: Application of Modal Logics and Rough Sets for Classifying Objects, Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, 15-26, Paris, France (1995).
  3. Bazan, J.: Dynamic Reducts and Statistical Inference, Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 1996) 1147-1152, Granada, July 1-5, Spain (1996).
  4. Bazan, J.: Approximate reasoning in decision rule synthesis, Proceedings of the International Conference on Intelligent Techniques in Robotics, Control and Decision Making, 10-15, Polish-Japanese Institute of Information Technology, Warsaw, February 22-23 (1999).
  5. Bazan, J., Szczuka, M.: RSES and RSESlib - A Collection of Tools for Rough Set Computations, Proceedings of the Second International Conference on Rough Sets and Current Trends in Computing (RSCTC 2000), Banff, Canada, October 16-19, 2000, 74-81, in. Technical report CS-2000-07, September 2000, University of Regina (2000).
  6. Bazan, J., Osmólski, A., Skowron, A., Ślęzak, D., Szczuka, M., S., Wróblewski, J.: Rough Set Approach to the Survival Analysis, Proceedings of the Sixth International Conference in Soft Computing and Distributed Processing, (SCDP 2002), 45-48, University of Information Technology and Management in Rzeszów, Rzeszów, June 24-25 (2002).
  7. Bazan, J., Peters, J., F., Skowron, A., Nguyen, Hung, S., Szczuka, M.: Rough set approach to pattern extraction from classifiers, Proceedings of the European Joint Conferences on Theory and Practice of Software, (ETAPS 2003), 20-29, Warsaw University, Warsaw, April 5-13, 2003, Electronic Notes in Theoretical Computer Science, volume 82, Elsevier Science Publishers (2003).
  8. Bazan, J., Skowron, A.: Classifiers Based on Approximate Reasoning Schemes, Proceedings of the International Workshop on Monitoring, Security and Rescue Techniques in Multiagent Systems (MSRAS 2004), Płock, June 7-9, 2004, 125-127, Printed by Faculty of Mathematics, Informatics and Mechanics, Warsaw University, and Institute of Decision Process Support (2004) (rozszerzone streszczenia prac).
  9. Bazan, J., Skowron, A.:  Perception Based Rough Set Tools in Behavioural Pattern Identification, Proceedings of the International  Workshop on Concurrency, Specification& Programming (CS&P 2005), Ruciane-Nida, September 28-30, 2005, p. 50-56, Printed by Warsaw University (2005).
  10. Bazan, J., Kruczek, P., Bazan-Socha, S.,  Skowron, A., Pietrzyk, J., J.: Risk Pattern Identification in the Treatment of Infants with Respiratory Failure Through Rough Set Modeling, In Proceedings of The Eleventh Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2006), July 2-7, 2006, Paris, France, volume III, p. 2650-2657 (2006).
  11. Bazan, J., Kruczek, P.,  Bazan-Socha, S., Skowron, A., Pietrzyk, J.: Automatic planning of treatment of infants with respiratory failure through rough set modeling, In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2006), Wandlitz, Germany, 2006, September 27-29, volume 206 of Informatik-Bericht, p. 388-399, Humboldt University (2006).
  12. Góra, G., Bazan, J., Kruczek, P., Bazan-Socha, S., Skowron, A., Pietrzyk, J., J.: Case-based planning of treatment of infants with respiratory failure, Proceedings of the International  Workshop on Concurrency, Specification & Programming (CS&P 2007), Łagów, September 27-29, 2007, p. 223-234, Printed by Warsaw University (2007).
  13. Bazan, J.: Automated Planning Based on Data Sets and Domain Knowledge, In Abstracts - The XIV-th International Conference on Mathematics, Informatics and Related Fields, Ustrzyki Dolne, 8-11 listopada 2008, p. 10, Printed by Rzeszow University of Technology (2008).
  14. Bazan, J.: Case-based Planning of Treatment Based on Data Sets and Domain Knowledge, In Abstracts - The XV-th International Conference on Mathematics, Informatics and Related Fields, Nałęczów, 6-10 listopada 2009, p. 21, Printed by Rzeszow University of Technology (2009).
  15. Bazan, J., Buregwa-Czuma, S.: Behavioral Pattern Identification in Analyzing of Time Series Gene Expression Data, In Abstracts - The XV-th International Conference on Mathematics, Informatics and Related Fields, Nałęczów, 6-10 listopada 2009, p. 22, Printed by Rzeszow University of Technology (2009).
  16. Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, S., Pardel, P., Sokolowska, B.: Prediction of coronary arteriosclerosis in stable coronary heart disease, In S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, and R. R. Yager (Eds.), Advances in Computational Intelligence , volume 298 of Communications in Computer and Information Science, pages 550-559. Springer (2012).
  17. Skowron, A., Stepaniuk, J., Jankowski, A., Bazan, J., G.: Rough Derivatives as Dynamic Granules in Rough Granular Calculus, In S. Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, and R. R. Yager (Eds.), Advances in Computational Intelligence , volume 297 of Communications in Computer and Information Science, pages 321-330. Springer (2012).
  18. Bazan, J., G., Bazan-Socha, S., Buregwa-Czuma, Dydo, L., Rzasa, W., Skowron, A.: A classifier based on a decision tree with verifying cuts,  In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2014), Chemnitz, Germany, 2014, September 29-October 1, volume 245 of Informatik-Bericht, pages 13-21, Humboldt University, 2014.
  19. Bazan, J., G., Szpyrka, M., Szczur, A., Dydo, L., Wojtowicz, H.: Classifiers for Behavioral Patterns Identification Induced from Huge Temporal Data, In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2014), Chemnitz, Germany, 2014, September 29-October 1, volume 245 of  Informatik-Bericht, pages 22-33, Humboldt University, 2014.
  20. Buregwa-Czuma, S., Bazan, J., G., Zareba, L., Bazan-Socha, S., Pardel, P., W., Sokolowska, B., Dydo, L.: The Method for Describing Changes in the Perception of Stenosis in Blood Vessels Caused by an Additional Drug,  In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2015), Rzeszów, Poland, September 28-30, pages 115-125, 2015.
  21. Przemyslaw Wiktor Pardel, Jan G. Bazan, Jacek Zarychta, Stanislawa Bazan-Socha: An Approach for Resolving Conflicts in Automatic Medical Objects Classification. In Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P 2015), Rzeszów, Poland, September 28-30, pages 73-84, 2015.

Other Publications:

Suraj, Z., Bazan J.: Schematy blokowe: przeznaczenie, możliwości  i warunki eksploatacji. Materiały z IX-tej konferencji: Informatyka w szkole, Toruń, 15-18 września, 56-57 (1993).

Bazan, J.: Wybrana metoda wnioskowań aproksymacyjnych dla syntezy algorytmów decyzyjnych. Materiały z IV-tej Środowiskowej Konferencji Matematycznej, Rzeszów-Czudec, 8-11 listopada, 18-26 (1997).

Doctoral Dissertation:

Bazan, J.: Metody wnioskowań aproksymacyjnych dla syntezy algorytmów decyzyjnych. Rozprawa doktorska napisana pod kierunkiem prof. dr-a hab. Andrzeja Skowrona, Uniwersytet Warszawski (1999).

Habilotation:

Bazan,. J.: Hierarchical Classifiers for Complex Spatio-temporal Concepts, Lecture Notes in Computer Science 5390, Transactions on Rough Sets IX, 474--750, Berlin, Heidelberg: Springer-Verlag (2008).

Other Publications:

Bazan, J., Skowron, A., Synak, P.: Market data analysis: A rough set approach. ICS Research Report 6/94,  Politechnika Warszawska (1994).