Journal Papers Musial, K., Budka, M. and Juszczyszyn K., 2012. Creation and Growth of Online Social Network - How do social networks evolve? World Wide Web Journal. (Submitted). Budka,
M., Gabrys. B. and Musial, K., 2011. On accuracy of PDF divergence
estimators and their applicability to representative data sampling. Entropy, 13(7), pp. 1229-1266. Budka, M. and Gabrys, B., 2011. Electrostatic field framework for supervised and
semi–supervised learning from incomplete data. Natural Computing, 10 (2),
pp. 921-945. Budka, M. and Gabrys, B., 2011. Density Preserving Sampling (DPS) for error
estimation and model selection. IEEE Transactions on Pattern Analysis and
Machine Intelligence. (Submitted). Pampanin, D.M., Ravagnan, E., Apeland, S., Aarab, N., Godal, B.F., Westerlund, S., Hjermann, D.Ø., Eftestøl, Budka, M., Gabrys, B., Viarengo, A. and Barsiene, J., 2010. The Marine Environment I.Q. concept. Developing an Index of the Quality of the Marine Environment based on biomarkers: integration of pollutant effects on marine organisms. Comparative Biochemistry and Physiology - Part A: Molecular & Integrative Physiology, 157 (S1), pp. S52. Budka, M. and Gabrys, B., 2010. Ridge regression ensemble for toxicity prediction.
Procedia Computer Science, 1 (1), pp. 193-201. Budka,
M., Gabrys, B. and Ravagnan, E., 2010. Robust predictive modelling of
water pollution using biomarker data. Water Research, 44 (10), pp.
3294-3308.
Conference Papers Musial, K., Budka, M. and Blysz, W., 2012. Understanding the Other Side – the Inside Story of the INFER Project. International Conference on Innovation through Knowledge Transfer (InnovationKT-2012), accepted. Juszczyszyn, K., Musial, K. and Budka, M., 2011. Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. In: 3rd IEEE International Conference on Social Computing, 9-11 October 2011, Boston, MA, USA. (In Press) Juszczyszyn, K., Musial, K. and Budka, M., 2011. On analysis of complex network dynamics – changes in local topology. The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SNA-KDD). (In Press) Schierz, A. C. and Budka, M., 2011. High-Performance music information retrieval system for song genre classification. In: Proc. of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11), June 2011, Warsaw, Poland, pp. 725-733. Juszczyszyn, K., Budka, M. and Musial, K., 2011. The dynamic structural patterns of social networks based on triad transitions. Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on. Budka, M., and Gabrys, B., 2010.
Correntropy–based density–preserving data sampling as an alternative to
standard cross–validation. In: IJCNN 2010: International Joint Conference
on Neural Networks. IEEE, pp. 1-8.
Book Chapters Budka, M., and Gabrys, B., 2009. Electrostatic Field Classifier for
Deficient Data. In: Kurzynski, M. and Wozniak, M., eds. Computer Recognition
Systems 3. Heidelberg: Springer, pp. 311-318.
Juszczyszyn, K., Budka, M. and Musial, K.: Complex Network Model – a New Perspective. The International School and Conference on Network Science, NetSci2011 .
Theses Budka, M., 2010. Physically inspired methods and development of data-driven predictive systems. PhD Thesis (PhD). Bournemouth University. Budka, M., 2005. Ant Colony Clustering Model. Bachelor’s Thesis (BSc). University of Silesia, Katowice, Poland. Budka, M., 2003. E-banking: threats and safeguards. Master’s Thesis (MA). University of Economics, Katowice, Poland.
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