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2012

1. Bazan J., 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.

2. Bazan J., G., Bazan-Soch 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).

3. 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.

4. 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 (w INTERNECIE).

5. 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.

6. Bober D., Kęsik J.: Metoda pomiaru energii elektrycznej uwzględniająca zróżnicowane tryby zasilania, Przegląd Elektrotechniczny (Electrical Review), R. 88 NR 10b/2012, s. 14-16

7. Kępski M. and Kwolek B.: Fall Detection on Embedded Platform Using Kinect and Wireless Accelerometer; Int. Conf. on Computers Helping People with Special Needs, Lecture Notes in Computer Science, vol. 7383, Springer Berlin / Heidelberg, 2012.

8. Kępski M. and Kwolek B.: Human Fall Detection by Mean Shift Combined with Depth Connected Components; Int. Conf. on Computer Vision and Graphics, Lecture Notes in Computer Science, vol. 7594, Springer Berlin / Heidelberg, 2012.

9. Kępski M., Kwolek B. and Austvoll I.: Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer; Int. Conf. on Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, vol. 7267, Springer Berlin / Heidelberg, 2012.

10. Kotulski L., Szpyrka M., Sędziwy A., Grobler-Dębska K.: On generation of composite labelled transition systems for Alvis passive agents. Radioelectronic and Computer Systems, vol. 59, no. 7, 2012, 205-211

11. Kowalski M., Ślęzak D., Stencel K., Pardel P., Grzegorowski M. & Kijowski M., RDBMS Model for Scientific Articles Analytics. Intelligent Tools for Building a Scientific Information Platform, Springer Berlin / Heidelberg, Volume 390/2012, 49-60, DOI: 10.1007/978-3-642-24809-2_4, 2012

12. 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

13. 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).

14. 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).