Some of my recent (and frequently asked) papers;
For a complete list of my publications see another page

My Habilitation Thesis
J.Stefanowski: Algorytmy indukcji regul decyzyjnych w odkrywaniu wiedzy, Rozprawa habilitacyjna; Rule induction algorithms for knowledge discovery (Published in Polish); Wydawnictwo Politechniki Poznanskiej, Seria Rozprawy, nr. 361, Poznan, 2001, 151 str. Pdf version of Polish manuscript; Ziped Ps version of Polish manuscript; English Abstract.
 
 
Some of Recent Papers:

• Dariusz Brzezinski, Jerzy Stefanowski: Accuracy Updated Ensemble for Data Streams with Concept Drift. In Proc. HAIS 2011, Springer Verlag Lecture Notes in Artificial Intelligence 6679, 2011,155-163. - see Springer Link to electronic resources; -- or its draft version
• Tomasz Maciejewski, Jerzy Stefanowski: Local Neighbourhood Extension of SMOTE for Mining Imbalanced Data. In Proc. IEEE Symposium on Computational Intelligence and Data Mining CIDM 2011. Within 2011 IEEE SSCI, Paris, 11-15 April 2011, IEEE Press, 104-111.
• Krystyna Napierala, Jerzy Stefanowski, Szymon Wilk: Learning from imbalanced data in presence of noisy and borderline examples RSCTC 2010, Springer Verlag Lecture Notes in Artificial Intelligence 6086, 2010, 148-157. - see Springer Link to electronic resources; -- -- Its draft version is here
• Jerzy Blaszczynski, Magdalena Deckert, Jerzy Stefanowski, Szymon Wilk: Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble RSCTC 2010, Springer Verlag Lecture Notes in Artificial Intelligence 6086, 2010, 158-167. - see Springer Link to electronic resources. -- Its draft version is here
• Krystyna Napierala, Jerzy Stefanowski: Argument Based Generalization of MODLEM Rule Induction Algorithm. RSCTC 2010, Springer Verlag Lecture Notes in Artificial Intelligence 6086, 2010, 138-147 - see Springer Link to electronic resources.
• Milosz Kmieciak, Jerzy Stefanowski: Handling Sudden Concept Drift in Enron Messages Data Stream. draft version of a paper finally published in T. Morzy, M.Gorawski, R.Wrembel, A.Zgrzywa (ed.) Technologie przetwarzania danych. Mat. III KNTPD Conf., Poznan 21-23 April 2010, WNT Press, 2010, 284-296
• J.Blaszczynski, R.Słowinski, J.Stefanowski: Feature Set-based Consistency Sampling in Bagging Ensembles. Proceedings of the Workshop From Local to Global Models at the European Conference on Machine Learning and Principles of Knowledge Discovery in Databases, 7-11 Sept. 2009, Bled, pp. 19-35 / A pdf file available from ECML/PKDD WWW .
• J.Stefanowski, M.Pachocki: Comparing Performance of Committee based Approaches to Active Learning. In: Proceedings of XVth Intelligent Information Systems IIS’2008, pp. 457-470.
• J.Blaszczynski, J.Stefanowski, M.Zajac: Ensembles of Abstaining Classifiers based on Rule Sets. In: J.Rauch, Z.Ras, P.Berka, T.Eloma (eds.): Foundations of Inteligent Systems. Proc. 18 Int. Symposium ISMIS 2009, Springer Verlag Lecture Notes in Artificial Intelligence 5722, 2008, 382-391 - see Springer Link to electronic resources. -- Its draft version is here
• J.Stefanowski, Sz.Wilk: Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes. In: Zbigniew W. Ras, Agnieszka Dardzińska (eds.): Advances in Data Management, Studies in Computational Intelligence vol. 223, 2009, 131-154. - see Springer Link.
• J.Stefanowski, Sz.Wilk: Selective Pre-processing of Imbalanced Data for Improving Classification Performance. In: I.Y.Song, J.Eder, T.Nguyen (eds.) Proc. of 10th Int. Conference DaWaK 2008, Lecture Notes in Computer Science vol. 5182, Springer Verlag, 2008, 283-292; - see Springer Link. -- Its draft version is here
• J.Stefanowski, Sz.Wilk: Improving Rule Based Classifiers Induced by MODLEM by Selective Pre-processing of Imbalanced Data. In: Proceedings of the Workshop "RSKD" at European Conference on Machine Learning and Principles of Knowledge Discovery in Databases, 17-21 September 2007 Warszawa, 54-65.
• S.Greco, R.Słowiński, J.Stefanowski: Evaluating Importance of Conditions in the Set of Discovered Rules. In: Aijun An et al (eds.): Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007, Proceedings. Lecture Notes in Computer Science, vol. 4482, Springer Verlag 2007, 314-321; - see Springer Link.
• J.Stefanowski, M.Zienkowicz: Classification of Polish Email Messages: Experiments with Various Data Representations. In: F.Esposito et al. (eds.) Foundations of Intelligent Systems. 16 Int. Symposium ISMIS 2006, Springer Verlag Lecture Notes in Artificial Intelligence 4203, 2006, 723-728; - see Springer Link.
• J.Stefanowski, S.Wilk: Combining Rough Sets and Rule based Classifiers for Handling Imbalanced Data. In: Czaja L. (ed.) Proceedings of Concurrency, Specification and Programming CS&P 2005 Conference, vol. 2, 2005, 497-508.
• J.Stefanowski: Extending Rule Based Classifiers for Dealing with Imbalanced Data. In: T.Burczynski, W.Cholewa, W.Moczulski (ed.) Proceedings of the AI-METH 2005: Recent Developments in Artificial Intelligence Methods, AI-Meth Series, Gliwice 2005, 203–208.
• J.Stefanowski: An Experimental Study of Methods Combining Multiple Classifiers - Diversified both by Feature Selection and Bootstrap Sampling. In Krassimir T. Atanassov, Janusz Kacprzyk, Maciej Krawczak, Eulalia Szmidt (eds) Issues in the Representation and Processing of Uncertain and Imprecise Information. Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2005, 337-354.
• S. Osiński, J. Stefanowski, D. Weiss: Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition. In: Advances in Soft Computing, Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM´04 Conference, 2004, 359—368.
• J.Stefanowski, M. Żurawski: Incremental Rule Induction for Multicriteria and Multiattribute Classification. In: M.A.Kłopotek, S.T.Wierzchoń, K.Trojanowski (eds.), Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM´03 Conference, 2003, 311-320.
• J.Stefanowski, D. Weiss: Carrot2 and Language Properties in Web Search Results Clustering. In: Menasalvas E., Segovia J. Szczepaniak P. (eds.) Advances in Web Intelligence, Proceedings of the First International Atlantic Web Intelligence Conference, Madrid, Spain, May 2003. A shorter version to be published as Springer LNCS.
• J.Stefanowski: Changing representation of learning examples while inducing classifiers based on decision rules., [in]: Burczyński T., Cholewa W., Moczulski (eds): Proceedings of the AI-METH 2003 - Symposium on Methods of Artificial Intelligence, Gliwice, Poland November 5-7, 2003, pp. 297-301.
• J.Jelonek, J.Stefanowski: Feature selection in the n2-classifier applied for multiclass problems, [in]: Burczyński T., Cholewa W., Moczulski (eds): Proceedings of the AI-METH 2002 - Symposium on Methods of Artificial Intelligence, Gliwice, Poland November 13-15, 2002, pp. 197-200.
• J. Stefanowski, A.Tsoukias: Induction of Decision Rules and Classification in the Valued Tolerance. [In]: Proceedings of Rough Sets and Current Trends in Computing, RSCTC 2002, Malvern, 2002.
• S.Greco, R.Slowinski, J.Stefanowski: Mining association rules in preference-ordered data. The paper presented at the 13th Int. Symposium ISMIS 2002, Lyon France, June 2002; Published in Springer Verlag LNAI no. 2366, 2002, 442-451.
• S.Greco, B.Matarazzo, R.Slowinski, J.Stefanowski: An algorithm for induction of decision rules consistent with dominance principle. In: W.Ziarko, Y.Y.Yao (eds), Proc. 2nd Int. Conference on Rough Sets and Current Trends in Computing, Banff, October 16- 19, 2000, 266-275.
• J.Stefanowski: Multiple and Hybrid Classifiers , In: L. Polkowski (ed.), Formal Methods and Intelligent Techniques in Control, Decision Making, Multimedia and Robotics - Post- Proceedings of 2nd International Conference, (PJIIT, Warszawa October 2000), Warszawa, 2001, 174-188.
• J.Jelonek, J.Stefanowski: Experiments on Solving Multiclass Learning Problems by n2 classifier, [in]: Proceedings 10th European Conference on Machine Learning, Chemnitz April 21-24, 1998, Springer-Verlag Lecture Notes in Artificial Intelligence no. 1398, 1998, 172-177.
• J.Stefanowski, On rough set based approaches to induction of decision rules. Preliminary version of the paper published in A. Skowron, L. Polkowski (red.), Rough Sets in Knowledge Discovery Vol 1, Physica Verlag, Heidelberg, 1998, 500-529.
• J.Jelonek, K.Krawiec, J.Stefanowski, Comparative study of feature subset selection techniques for machine learning tasks, In: Proceedings of VIIth Intelligent Information Systems IIS’98, Malbork 15-19 June 1998, Wyd. Instytutu Podstaw Informatyki PAN, Warszawa, 68-77