Marcin Budka

Dr Marcin Budka

  • 01202 961631
  • mbudka at bournemouth dot ac dot uk
  • Principal Academic in Data Science
  • Poole House P256b, Talbot Campus, Fern Barrow, Poole, BH12 5BB
Back to top

Biography

Marcin Budka has received his dual BA+MA degree in finance and banking from the University of Economics, Katowice, Poland, in 2003, BSc in computer science from University of Silesia, Poland, in 2005 and PhD in computational intelligence from Bournemouth University, UK, in 2010, where he currently holds the Lecturer in Computational Intelligence position. His current research interests include Information Theoretic Learning, metalearning, adaptive systems, ensemble models and complex networked systems with focus on evolution and dynamics of social networks.

Research

My research interests lie in a broadly understood field of machine learning, data mining, predictive modelling and computational intelligence, with a particular focus on practical applications. Recently I have also developed an interest in the area of complex, evolving networked systems, which appear as a very attractive and relatively little explored practical application for advanced predictive models.

I am currently involved in the EU-funded INFER project (Computational Intelligence Platform for Evolving and Robust Predictive Systems) and also investigating the topic of diffusion in complex networks.

Journal Articles

Chapters

  • Balaguer-Ballester, E., Tabas-Diaz, A. and Budka, M., 2014. Empirical identification of non-stationary dynamics in time series of recordings. Springer Verlag, 142-151.
  • Budka, M., 2013. Clustering as an example of optimizing arbitrarily chosen objective functions. In: Nguyen, N., Trawinski, B., Katarzyniak, R. and Geun-Sik, J., eds. Advanced Methods for Computational Collective Intelligence. Springer Berlin / Heidelberg, 177-186.
  • Musial, K., Budka, M. and Blysz, W., 2013. Understanding the Other Side - The Inside Story of the INFER Project. 1-9.
  • Musial, K., Budka, M. and Blysz, W., 2012. Understanding the Other Side - the Inside Story of the INFER Project. In: Howlett, R.J., Howlett, R.J. and Jain, L.C., eds. Innovation through Knowledge Transfer 2012. Springer Berlin Heidelberg, (in press).
  • Schierz, A.C. and Budka, M., 2011. High-Performance Music Information Retrieval System for Song Genre Classification. In: Kryszkiewicz, M., Rybinski, H., Skowron, A. and Ras, Z.W., eds. Proceedings of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11). Springer-Verlag.

Conferences

  • Salvador, M, Budka, M., Quay, T. and Carver-Smith, A., 2016. Improving transport timetables usability for mobile devices: a case study. In: 11th International Conference on the Practice and Theory of Automated Timetabling 23-26 August 2016 Udine, Italy.
  • Martin Salvador, M., Budka, M. and Gabrys, B., 2016. Towards automatic composition of multicomponent predictive systems. 27-39.
  • Bennett, M., Morse, S. and Budka, M., 2015. Tracks and sediments: evolutionary stasis in foot function?
  • Budka, M., Eastwood, M., Gabrys, B., Kadlec, P., Martin Salvador, M., Schwan, S., Tsakonas, A. and Žliobaitė, I., 2014. From Sensor Readings to Predictions: On the Process of Developing Practical Soft Sensors. In: The Thirteenth International Symposium on Intelligent Data Analysis (IDA 2014) 30 October-1 November 2014 Leuven, Belgium. Springer, 49-60.
  • Balaguer-Ballester, E., Tabas, A. and Budka, M., 2014. Attracting Dynamics, non-stationarity and trial-to-trial variability in frontal ensemble recordings. In: Bernstein Computational Neuroscience Conference 2014 2-5 September 2014 Tubingen.
  • Krol, D., Budka, M., Musial, K. and IEEE, 2014. Simulating the information diffusion process in complex networks using push and pull strategies. 1-8.
  • Balaguer-Ballester, E., Tabas-Diaz, A. and Budka, M., 2014. Empirical identification of non-stationary dynamics in time series of recordings. 142-151.
  • Budka, M., Musial, K. and Juszczyszyn, K., 2012. Predicting the evolution of social networks: Optimal time window size for increased accuracy. 21-30.
  • Juszczyszyn, K., Gonczarek, A., Tomczak, J.M., Musial, K. and Budka, M., 2012. A probabilistic approach to structural change prediction in evolving social networks. 996-1001.
  • Juszczyszyn, K., Budka, M. and Musial, K., 2011. The Dynamic Structural Patterns of Social Networks Based on Triad Transitions. 581-586.
  • Schierz, A.C. and Budka, M., 2011. High--Performance music information retrieval system for song genre classification. In: Kryszkiewicz, M., Rybinski, H., Skowron, A. and Ras, Z.W., eds. Proc. of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11) June 2011 Warsaw, Poland. Lecture Notes in Computer Science, 2011, Volume 6804: Springer-Verlag, 725-733.
  • Juszczyszyn, K., Budka, M. and Musial, K., 2011. The dynamic structural patterns of social networks based on triad transitions. 581-586.
  • Juszczyszyn, K., Musial, K. and Budka, M., 2011. Link prediction based on Subgraph evolution in dynamic social networks. 27-34.
  • Juszczyszyn, K., Musial, K. and Budka, M., 2011. On analysis of complex network dynamics – changes in local topology. 61-70.
  • Budka, M. and Gabrys, B., 2010. Correntropy–based density–preserving data sampling as an alternative to standard cross–validation. In: World Congress on Computational Intelligence (WCCI 2010) Barcelona, Spain.
  • Budka, M. and Gabrys, B., 2009. Electrostatic Field Classifier for Deficient Data. Heidelberg: Springer, 311-318.

Reports

Theses

Others

  • Schierz, A.C., Budka, M. and Apeh, E., 2011. Winners' notes. Using Multi-Resolution Clustering for Music Genre Identification. TunedIT.
  • Juszczyszyn, K., Budka, M. and Musial, K., 2011. Complex Network Model - a New Perspective. The International School and Conference on Network Science (NetSci2011).

Grants

  • KTP - We Are Base Limited (Innovate UK, 26 Oct 2015). In Progress

Qualifications

  • BA + MA (dual) in E-banking: threats and safeguards (University of Economics in Katowice, Poland, 2003)
  • BSc (Hons) in Ant Colony System for Cluster Analysis (University of Silesia, Poland, 2005)
  • PhD in Computational Intelligence (Bournemouth University, UK, 2010)
The data on this page was last updated at 04:02 on April 25, 2017.