Locked History Actions

LukaszKobylinski

Łukasz Kobyliński

Contact information

Address:

Institute of Computer Science, Polish Academy of Sciences

Jana Kazimierza 5

01-248 Warszawa

Poland

Room:

229

Phone:

+48 22 3800559

E-mail:

<lkobylinski _AT_ ipipan.waw.pl>

Projects

Past projects

Selected publications

List of publications

2011

Łukasz Kobyliński. Mining class association rules for word sense disambiguation. In Pascal Bouvry, Mieczysław A. Kłopotek, Franck Leprevost, Małgorzata Marciniak, Agnieszka Mykowiecka, and Henryk Rybiński, editors, Security and Intelligent Information Systems: International Joint Conference, SIIS 2011, Warsaw, Poland, June 13-14, 2011, Revised Selected Papers, volume 7053 of Lecture Notes in Computer Science, pages 307–318. Springer-Verlag, 2011.

Łukasz Kobyliński and Krzysztof Walczak. Efficient mining of jumping emerging patterns with occurrence counts for classification. Transactions on Rough Sets, 13:73–88, 2011.

2010

Łukasz Kobyliński and Krzysztof Walczak. Spatial emerging patterns for scene classification. In Leszek Rutkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, and Jacek M. Żurada, editors, Proceedings of the 10th International Conference on Artificial Intelligence and Soft Computing, volume 6113 of Lecture Notes in Computer Science, pages 512–522. Springer-Verlag, 2010.

2009

Łukasz Kobyliński and Krzysztof Walczak. Jumping emerging substrings in image classification. In X. Jiang and N. Petkov, editors, International Conference on Computer Analysis of Images and Patterns, volume 5702 of Lecture Notes in Computer Science, pages 732–739. Springer-Verlag, 2009.

2008

Łukasz Degórski, Łukasz Kobyliński, and Adam Przepiórkowski. Definition extraction: Improving balanced random forests. In Proceedings of the International Multiconference on Computer Science and Information Technology (IMCSIT 2008): Computational Linguistics – Applications (CLA'08), pages 353–357, Wisła, Poland, 2008. PTI.

Łukasz Kobyliński and Adam Przepiórkowski. Definition extraction with balanced random forests. In Bengt Nordström and Aarne Ranta, editors, Advances in Natural Language Processing: Proceedings of the 6th International Conference on Natural Language Processing, GoTAL 2008, Gothenburg, Sweden, volume 5221 of Lecture Notes in Artificial Intelligence, pages 237–247, Berlin, 2008. Springer-Verlag.

Łukasz Kobyliński and Krzysztof Walczak. Efficient mining of jumping emerging patterns with occurrence counts for classification. In Chien-Chung Chan, Jerzy W. Grzymała-Busse, and Wojciech P. Ziarko, editors, International Conference on Rough Sets and Current Trends in Computing, volume 5306 of Lecture Notes in Artificial Intelligence, pages 419–428. Springer-Verlag, 2008.

Łukasz Kobyliński and Krzysztof Walczak. Jumping emerging patterns with occurrence count in image classification. In T. Washio, E. Suzuki, K. M. Ting, and A. Inokuchi, editors, Pacific-Asia Conference on Knowledge Discovery and Data Mining, volume 5012 of Lecture Notes in Artificial Intelligence, pages 904–909. Springer-Verlag, 2008.

2007

Łukasz Kobyliński and Krzysztof Walczak. Class association rules with occurrence count in image classification. TASK Quarterly, 11(1–2):35–45, 2007.

Łukasz Kobyliński and Krzysztof Walczak. Color mining of images based on clustering. In M. Ganzha, M. Paprzycki, and T. Pełech-Pilichowski, editors, Proceedings of the 2nd International Multiconference on Computer Science and Information Technology, pages 141–147, 2007.

2006

Łukasz Kobyliński and Krzysztof Walczak. Image classification with customized associative classifiers. In M. Ganzha, M. Paprzycki, J. Wachowicz, K. Węcel, and T. Pełech-Pilichowski, editors, Proceedings of the First International Multiconference on Computer Science and Information Technology, pages 85–91, 2006.

Łukasz Kobyliński and Krzysztof Walczak. Data mining approach to classification of archaeological aerial photographs. In Mieczysław A. Kłopotek, Sławomir T. Wierzchoń, and Krzysztof Trojanowski, editors, Intelligent Information Processing and Web Mining, Advances in Soft Computing, pages 479–487. Springer-Verlag, Berlin, 2006.