Publications

  • J. Miekisz, M. Matuszak, J. Poleszczuk, Stochastic Stability in Three-Player Games with Time Delays, Dynamic Games and Applications, 1-10, DOI 10.1007/s13235-014-0115-1, May 2014.
  • P. Kaminska, M. Matuszak, Image Segmentation by Locally Specified Multi-coloured Polygonal Markov Fields, Proceedings of the 2nd International Conference on Intelligent Systems and Image Processing, 2014.
  • M. Nowicki, M. Matuszak, A.B. Kwiatkowska, M.M. Syslo, P. Bala, Teaching secondary school students programming using distance learning. A case study, WCCE 2013, Vol. 2, pp. 246-254, 2013. Abstract.
  • K. Choromanski, M. Matuszak, J. Miekisz, Scale-Free Graph with Preferential Attachment and Evolving Internal Vertex Structure, Journal of Statistical Physics, Volume 151, Issue 6, pp. 1175-1183, June 2013. Abstract.
  • M. Matuszak, J. Miekisz, Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure, ICANN 2012, Part I, LNCS 7552, pp. 33-40, 2012. Abstract.
  • M. Matuszak, J. Miekisz, T. Schreiber, Solving Ramified Optimal Transport Problem in the Bayesian Influence Diagram Framework, ICAISC 2012, Part II, LNCS 7268, pp. 582-590, 2012. Abstract.
  • M. Matuszak, T. Schreiber, Locally specified polygonal Markov fields for image segmentation, Mathematical Methods for Signal and Image Analysis and Representation, Series: Computational Imaging and Vision, Vol. 41, Florack, L.; Duits, R.; Jongbloed, G.; Lieshout, M.-C. van; Davies, L. (Eds.), ISBN 978-1-4471-2352-1, 2012 Abstract.
  • M. Matuszak, J. Miekisz, T. Schreiber, Smooth Conditional Transition Paths in Dynamical Gaussian Networks, KI 2011: Advances in Artificial Intelligence, LNAI 7006, pp. 204-215, 2011. Abstract.
  • M. Matuszak, T. Schreiber, GPU Accelerated Smooth Formation Redeployment in Multiagent Environment, MASYW 2010, Institute of Computer Science, Polish Academy of Sciences, pp. 92-100, Warsaw 2011. Abstract.
  • M. Matuszak, T. Schreiber, A new stochastic algorithm for strategy optimisation in Bayesian influence diagrams, ICAISC 2010, Part II, LNAI 6114, pp. 574-581, 2010. Abstract.
  • J. Matulewski, M. Pakulski, D. Borycki, B. Bialy, P. Peplowski, M. Matuszak, D. Szlag, D. Urbanski, Visual C++. Gotowe rozwiazania dla programistow Windows (eng. Visual C++ - Practical Solutions for Windows Developers), ISBN: 978-83-246-1928-3, 2010 Abstract.
  • M. Matuszak, J. Matulewski, CUDA i czyny, Software Developer's Journal, 01.2010 Abstract.
  • M. Matuszak, J. Matulewski, Czyn CUDA, Software Developer's Journal, 12.2009, (Cover article) Abstract.
  • Thesis:

  • PhD: Bayesian Networks in Adaptation and Optimization of Behavioral Patterns, May 2013 Abstract.
  • MSc: Application of Monte Carlo Methods in Inference Algorithms in Continuous Time Bayesian Networks (in polish), June 2009

Conferences/Workshops [show all]

  • GTC 2015, GPU Technology Conference, 16-20.03.2015, San Jose, USA
  • ICISIP 2014: The 2nd International Conference on Intelligent Systems and Image Processing 2014, Kitakyushu, Fukuoka, Japan, 26-29.09.2014
  • GTC 2014, GPU Technology Conference, 23-27.03.2014, San Jose, USA
  • PUMPS 2013, Programming and Tuning Massively Parallel Systems, 8-12.07.2013, Barcelona, Spain
  • WCCE 2013, 10th IFIP World Conference on Computers in Education, 2-5.07.2013, Torun, Poland
  • SGSIA, 17th Workshop on Stochastic Geometry, Stereology and Image Analysis, 11-15.06.2013, Torun, Poland
  • Tomasz Schreiber's Memorial Session, 10.06.2013, Torun, Poland
  • Summer School on Network Science, 20-31.05.2013, Columbia, SC, USA
  • FIT 2013, Forum of Theoretical Informatics, 11-14.04.2013, Torun, Poland
  • FENS-IBRO-Hertie Winter School: Brain Dynamics and Dynamics of Brain Disease, 09-16.12.2012, Obergurgl, Austria
  • Vienna Game/AI Conference 2012, 17-19.09.2012, Vienna, Austria
  • ICANN 2012, International Conference on Artificial Neural Networks, 11-14.09.2012, Lausanne, Switzerland
  • ABS12, Applied Bayesian Statistics School: Stochastic Modelling for Systems Biology, 3-7.09.2012, Pavia, Italy
  • ICAISC 2012, 11th International Conference on Artificial Intelligence and Soft Computing, 29.04-3.05.2012, Zakopane, Poland
  • GPUs in Computational Statistics, 25.01.2012, Coventry, United Kingdom
  • KI 2011, 34th Annual German Conference on Artificial Intelligence, 4.10-7.10.2011, Berlin, Germany
  • OCNC 2011, Okinawa Computational Neuroscience Course, 13.06-30.06.2011, Okinawa, Japan
  • MASYW'10, Mathematical Models and Methods of Analysis of Concurrent Systems , 19-23.07.2010, Tlen nad Wda, Poland
  • NN2010, Summer School on Neural Networks in Classification, Regression and Data Mining, 12-16.07.2010, Porto, Portugal
  • ICAISC 2010, 10th International Conference on Artificial Intelligence and Soft Computing, 13-17.06.2010, Zakopane, Poland
  • How to model neurons and neural systems? Integrating biophysics, morphology, and connectivity. Second Polish-Norwegian Neuroinformatics Workshop, 14-15.01.2010, Warszawa, Poland
  • KI 2009, 32nd Annual Conference on Artificial Intelligence, AI and Automation, 15-18.09.2009, Paderborn, Germany
  • Tango Conference 2008, First International D language Community Meeting, 26-28.09.2009, Torun, Poland

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Teaching

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