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Dymitr Ruta

  • dymitr at ruta dot co dot uk
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Journal Articles

  • Ruta, D. and Majeed, B., 2011. Business process forecasting in telecom industry. 2011 IEEE GCC Conference and Exhibition, GCC 2011, 389-392.
  • Ruta, D., Gabrys, B. and Lemke, C., 2010. A Generic Multilevel Architecture for Time Series Prediction. IEEE Transactions on Knowledge and Data Engineering, 99.
  • Ruta, D. and Gabrys, B., 2009. A Framework for Machine Learning Based on Dynamic Physical Fields. Natural Computing, 8, 219-237.
  • Hadden, J., Tiwari, A., Roy, R. and Ruta, D., 2007. Computer assisted customer churn management: State-of-the-art and future trends. Comput. Oper. Res., 34, 2902-2917.
  • Nauck, D.D., Ruta, D., Spott, M. and Azvine, B., 2006. A tool for intelligent customer analytics. IEEE Intelligent Systems, 518-521.
  • Gabrys, B. and Ruta, D., 2006. Genetic algorithms in classifier fusion. Applied Soft Computing, 6, 337-347.
  • Nauck, D.D., Ruta, D., Spott, M. and Azvine, B., 2006. Being proactive - Analytics for predicting customer actions. BT Technology Journal, 24 (1), 17-26.
  • Ruta, D. and Gabrys, B., 2005. Classifier selection for majority voting. Information Fusion, 6, 63-81.
  • Ruta, D., 2004. Multilayer selection-fusion model for pattern classification. Proceedings of the IASTED International Conference. Applied Informatics, 899-906.
  • Ruta, D. and Gabrys, B., 2003. Physical field models for pattern classification. Soft Computing, 8, 126-141.
  • Ruta, D. and Gabrys, B., 2002. A theoretical analysis of the limits of majority voting errors for multiple classifier systems. Pattern Analysis and Applications, 5, 333-350.

Chapters

  • Ruta, D., 2007. Towards Automated Share Investment System. In: Batyrshin, I.Z., Kacprzyk, J., Sheremetov, L. and Zadeh, L.A., eds. Perception-based Data Mining and Decision Making in Economics and Finance. Springer, 135-153.

Conferences

  • Ruta, D., Kazienko, P. and Bródka, P., 2009. Network-Aware Customer Value in Telecommunication Social Networks. IC-AI, 261-267 CSREA Press.
  • Kazienko, P., Bródka, P. and Ruta, D., 2009. The Influence of Customer Churn and Acquisition on Value Dynamics of Social Neighbourhoods. WSKS (1), 5736, 491-500 Springer.
  • Ruta, D., 2008. Mixture of Gaussians Model for Robust Pedestrian Images Detection. ECAI, 178, 713-717 IOS Press.
  • Ruta, D., 2008. A Generic Methodology for Classification of Complex Data Structures in Automotive Industry. KES (1), 5177, 448-455 Springer.
  • Ruta, D. and Gabrys, B., 2007. Reducing Spatial Data Complexity for Classification Models. , 603-613 Melville, N.Y.: American Institute of Physics.
  • Ruta, D. and Gabrys, B., 2007. Neural Network Ensembles for Time Series Prediction. In: Neural Networks, 2007. IJCNN 2007. International Joint Conference on 12-17 August 2007 Orlando, FL,. , 1204-1209 IEEE Press.
  • Macas, M.B., Gabrys, B., Ruta, D. and Lhotska, L., 2007. Particle Swarm Optimisation of Multiple Classifier Systems. , 333-340 Berlin: Springer.
  • Ruta, D., 2006. Dynamic Data Condensation for Classification. ICAISC, 4029, 672-681 Springer.
  • Ruta, D., Nauck, D.D. and Azvine, B., 2006. K Nearest Sequence Method and Its Application to Churn Prediction. IDEAL, 4224, 207-215 Springer.
  • Ruta, D., 2005. Visualisation of the Classifier Fusion Models. Artificial Intelligence and Applications, 473-478 IASTED/ACTA Press.
  • Ruta, D., 2005. Multidimensional Selection Model for Classification. ICEIS (2), 226-232.
  • Ruta, D. and Gabrys, B., 2002. New Measure of Classifier Dependency in Multiple Classifier Systems. , 127-136 Springer Berlin / Heidelberg.
  • Ruta, D. and Gabrys, B., 2002. Static Field Approach for Pattern Classification. , 232-246 Berlin: Springer.
  • Ruta, D. and Gabrys, B., 2001. Application of the Evolutionary Algorithms for Classifier Selection in Multiple Classifier Systems with Majority Voting. , 399-408 London: Springer Berlin / Heidelberg.