Faculty of Mathematics and Information Science
Warsaw University of Technology

Maciej Grzenda, Ph.D.

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Publications

 

  1. F.Seredyński, M.Grzenda, Behaviour of Heterogeneous Agents in the Prisoner's Dilemma, 3rd International Mendel Conference (MENDEL'97) on Genetic Algorithms, Optimization Problem, Fuzzy Logic, Neural Networks, Rough Sets, Brno, Czech Republic, 1997
  2. M.Grzenda, F.Seredyński, Competition and Cooperation of Heterogeneous Agents in the Prisoner's Dilemma, II National Conference on Evolutionary Algorithms and Global Optimisation (II Krajowa Konferencja Algorytmy Ewolucyjne i Optymalizacja Globalna), Rytro, 1997, pp. 65-72
  3. M. Grzenda, B. Macukow, Neural Networks Solving the Prisoner's Dilemma, Journal of Optoelectronics Laser, vol.9, 1998 supp., pp. 181-183
  4. M. Grzenda, B. Macukow, Genetic Algorithm and Neural Networks to Solve the Prisoner's Dilemma, Optical Memory and Neural Networks, Allerton Press Inc., USA, vol. 7 no.3, 1998, pp. 171-175
  5. M. Grzenda, B. Macukow, Genetic Algorithm to Develop the Structure of Neural Network, Proceedings of the Fourth Conference Neural Networks and Their Applications, Zakopane, 1999, pp. 594-598
  6. M. Grzenda, B. Macukow, Neural Networks to Simulate Intelligent Behaviour in the Games of Moves, Proceedings of the 13th European Simulation Multiconference, Ghent, Belgia, vol. 2, 1999, pp. 429-436
  7. M. Grzenda, On Some Issues in Evolutionary Design of Multilayer Perceptrons, Proceedings of the Fifth Conference Neural Networks and Soft Computing, Zakopane, 2000, pp. 621-626
  8. M. Grzenda, B.Macukow, The Role of Weight Domain in Evolutionary Design of Multilayer Perceptrons, Proc. of the IEEE-INNS-ENNS International Joint Conference on Neural Networks IJCNN 2000, Los Alamitos, USA, 2000
  9. B. Macukow, M. Grzenda, Self-Adaptation in Evolutionary Design of Neural Networks, in: The State of the Art in Computational Intelligence / Sinčák Ass. Prof. Dr. Peter [i in.] ( red. ), Advances in Soft Computing, nr 5, 2000, Physica-Verlag HD, pp. 382-383
  10. B. Macukow, M. Grzenda, Evolutionary Artificial Neural Networks, Proc. of the 14th School of Optoelectronics, Stare Jabłonki, 2000, pp. 193-199
  11. B.Macukow, M.Grzenda, Towards the Evolution of Neural Networks, Optoelectronics Review, 9/3, 2001, pp. 23-26
  12. M. Grzenda, B.Macukow, Evolutionary Model for Short Term Load Forecasting, MENDEL 2001 Conference, Brno, Czech Republic, 2001, pp. 119-124
  13. M. Grzenda, B. Macukow, Evolutionary neural networks based optimization for short-term load forecasting, Control and Cybernetics, 31, no.2, 2002, pp. 371-382
  14. A. Borowiec, K. Fronczyk, M. Grzenda, B. Macukow, Can Neural Networks be used to Define the Rules of Cardiovascular Disease Prevention in Nutrition Domain?, Proc. of the Sixth International Conference on Neural Networks and Soft Computing, Zakopane, eds. L.Rutkowski, J.Kasprzyk, Advances in Soft Computing, Springer-Verlag, 2003, pp. 450-455
  15. M. Grzenda, M. Niemczak, Requirements and Solutions for Web-Based Expert System, Proc. of ICAISC 2004, Zakopane, 2004, Lecture Notes in Artificial Intelligence, vol. 3070, Springer-Verlag, Berlin, pp. 866-871
  16. M. Grzenda, K. Fronczyk, The Use of Different Neural Models to Investigate the Impact of Biological and Psychosocial Factors on the Child Chronotype, Proc. of MENDEL 2004, Brno, 2004, pp. 23-27
  17. M. Grzenda, The Use of Self-Organising Maps to Investigate Heat Demand Profiles, Annales UMCS, Vol. IV, 2006, ISSN 1732-1360, pp. 161-168
  18. M. Grzenda, The Use of Neural Networks to Control Data Acquisition Process, in: Artificial Intelligence and Soft Computing, EXIT Publishers, Warszawa, 2006, ISBN: 83-60434-09-3, pp. 34-41
  19. M. Grzenda, B. Macukow, Demand Prediction with Multi-Stage Neural Processing, in: Advances in Natural Computation and Data Mining, Xidian University Press, China, 2006 ISBN: 7-5606-1735-2/TP*0431, pp. 131-141
  20. M. Grzenda, Key Problems of GIS integration with ERP Systems (in Polish), in: Eksploatacja wodociagów i kanalizacji (Water and Sewer Network Maintenance), vol. 9, 2007, pp. 71-76, ISBN 978-83-87792-47-3, Warszawa
  21. M. Grzenda, The Use of IT Systems to Support the Maintenance of Water Supply and Sewage Disposal Systems, (in Polish), Systemy informatyczne we wspomaganiu eksploatacji sieci, Instal, vol. 279, 2008, pp. 15-19, Warszawa
  22. M. Grzenda, Load Prediction Using Combination of Neural Networks and Simple Strategies, in: Tenth Scandinavian Conference on Artificial Intelligence SCAI 2008, Stokholm, Sweden, Frontiers in Artificial Intelligence, vol. 173, IOS Press, 2008, pp. 106-113, Amsterdam
  23. P. Zawistowski, M.Grzenda, Handling Incomplete Data Using Evolution of Imputation Methods, in: Proc. of 9th International Conference ICANNGA 2009, Kuopio, Finland, Lecture Notes in Computer Science, vol. 5495, Springer-Verlag, Berlin, 2009, pp. 22-31
  24. M. Grzenda, B. Macukow, Heat Consumption Prediction with Multiple Hybrid Models, in: Proc. of 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, Lecture Notes in Computer Science, vol. 5581, Springer-Verlag, Berlin, 2009, pp. 1213-1221
  25. M. Grzenda, Data Acquisition and Conversion for Network Modelling Projects, (in Polish), in: Gas, Water and Sanitary Technology (Gaz, woda i technika sanitarna), vol. 6, 2009, pp. 16-19
  26. M. Grzenda, SOM-Based Selection of Monitored Consumers for Demand Prediction, in: Proc. of 10th International Conference IDEAL 2009, Burgos, Spain, Lecture Notes in Computer Science, vol. 5788, Springer-Verlag, Berlin, 2009, pp. 807-814
  27. M. Grzenda, M. Sudoł, W. Gębski, Modelling of a Large-Scale Water Distribution System, (in Polish), in: Gas, Water and Sanitary Technology (Gaz, woda i technika sanitarna), vol. 3, 2010, pp. 2-6
  28. M. Grzenda, D. Thukral, An Efficient Approach to Clustering Real-Estate Listings, Lecture Notes in Computer Science, vol. 6283, Springer-Verlag, Berlin, 2010, pp. 379-386
  29. M. Grzenda, A. Bustillo, P. Zawistowski, A Soft Computing System Using Intelligent Imputation Strategies for Roughness Prediction in Deep Drilling, Journal of Intelligent Manufacturing, Springer, vol. 23(5), (2010: DOI), 2012, pp. 1733-1743
  30. M. Grzenda, L. Fuchs, T. Beeneken, N. Wronowski, Key aspects of mathematical modelling of sewer systems on the example of a large combined sewer system (in Polish), Kluczowe zagadnienia modelowania matematycznego systemów kanalizacyjnych na przykładzie dużej sieci ogólnospławnej, In: Gas, Water and Sanitary Technology (Gaz, woda i technika sanitarna), vol. 3, 2011, pp. 91-98
  31. M. Grzenda, Prediction-Oriented Dimensionality Reduction of Industrial Data Sets, Lecture Notes in Artificial Intelligence, vol. 6703, Springer-Verlag, Berlin, 2011, pp. 233-241
  32. M. Grzenda, K. Kaczmarski, M. Kobos, M. Luckner, Geospatial presentation of purchase transactions data, in: 2011 Federated Conference on Computer Science and Information Systems (FedCSIS), 2011, pp. 291 -296
  33. M. Grzenda, W. Gębski, P. Niedźwiecki, Key solutions of GIS platform in terms of sewer system maintenance and modelling (in Polish), Kluczowe rozwiązania platformy GIS z punktu widzenia eksploatacji i modelowania systemów kanalizacyjnych, in: Gas, Water and Sanitary Technology (Gaz, woda i technika sanitarna), vol. 7-8, 2011, pp. 266-269
  34. M. Grzenda, Consumer-oriented heat consumption prediction, in: Control and Cybernetics, vol. 41(1), Systems Research Institute, Polish Academy of Sciences, 2012, pp. 213-240
  35. L. Fuchs, T. Beeneken, M. Leśniewski, M. Grzenda, Benefits of Real Time Control of Sewer Systems (in Polish), Korzyści ze sterowania praca systemów kanalizacji ogólnospławnej w czasie rzeczywistym, in: Gas, Water and Sanitary Technology (Gaz, woda i technika sanitarna), vol. 5, 2012, pp. 218-223
  36. M. Grzenda, A. Bustillo, G. Quintana, J. Ciurana, Improvement of surface roughness models for face milling operations through dimensionality reduction, Integrated Computer-Aided Engineering, vol. 19(2), IOS Press, 2012, pp. 179-197
  37. M. Grzenda, A. Bustillo, The evolutionary development of roughness prediction models, in: Applied Soft Computing, Elsevier, Vol. 13, Issue 5, 2013, pp. 2913-2922
  38. M. Grzenda, Towards the Reduction of Data Used for the Classification of Network Flows, in: Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, vol. 7209, Springer-Verlag, 2012, pp. 68-77
  39. P. Wawrzyniak, P. Pątek, J. Legierski, M. Grzenda, P. Korbel, NMR Recorder: the tool for collecting measurement data from mobile terminal (in Polish), in: Przeglad Telekomunikacyjny – Wiadomosci telekomunikacyjne, 4, 2012, str. 333-336
  40. H. Łącka, M. Grzenda, On the Evolutionary Search for Data Reduction Method, in: Distributed Computing and Artificial Intelligence / Omatu Sigeru [et al.] (Eds.), Advances in Intelligent and Soft Computing, nr 151, 2012, pp. 527-534
  41. A. Chojnacki, A. Kowalski, B. Macukow, M. Grzenda, Guest Editorial: Advances in Network Systems, in: Informatica. An International Journal of Computing and Informatics, vol. 36(4), 2012, pp. 339
  42. M. Grzenda, On the Prediction of Floor Identification Credibility in RSS-Based Positioning Techniques, in: Recent Trends in Applied Artificial Intelligence, Moonis Ali et. al. (Eds.), Lecture Notes in Computer Science, vol. 7906, Springer-Verlag, 2013, pp. 610-619
  43. R. Filasiak, M. Grzenda, M. Luckner, P. Zawistowski, On the Testing of Network Cyber Threat Detection Methods on Spam Example, Annals of telecommunications, 2014, Vol. 69, Issue 7, 2014, pp. 363-377
  44. D. Teixidor, M. Grzenda, A. Bustillo, J. Ciurana, Modeling pulsed laser micromachining of micro geometries using machine-learning techniques, Journal of Intelligent Manufacturing, 2015, Volume 26, Issue 4, pp. 801-814
  45. S. Grabowski, M. Grzenda, J. Legierski, The Adoption of Open Data and Open API Telecommunication Functions by Software Developers, International Conference on Business Information Systems BIS 2015: Business Information Systems, Lecture Notes in Business Information Processing , 2015, pp. 337-347
  46. M.Grzenda, Reduction of Signal Strength Data for Fingerprinting-Based Indoor Positioning, Intelligent Data Engineering and Automated Learning – IDEAL 2015, LNCS, Springer, 2015, pp. 387-394
  47. A. Bustillo, M. Grzenda, B. Macukow, Interpreting tree-based prediction models and their data in machining processes, Integrated Computer-Aided Engineering, 2016, vol. 23, no. 4, pp. 349-367
  48. M. Grzenda, A. Ismail Awad, J. Furtak, J. Legierski (ed.), Advances in Network Systems : Architectures, Security, and Applications, Springer International Publishing, 2017
  49. M. Grzenda, K. Kwasiborska, T. Zaremba, Combining Stream Mining and Neural Networks for Short Term Delay Prediction, in: Proceedings of International Joint Conference SOCO'17-CISIS'17-ICEUTE'17 Leon, Spain, September 6-8, 2017, ed. : Perez G. et al, Springer International Publishing, doi: 10.1007/978-3-319-67180-2_18, 2018, pp. 188-197
  50. T. Liebig, S. Peter, M. Grzenda, K. Junosza-Szaniawski, Dynamic Transfer Patterns for Fast Multi-modal Route Planning, in: Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science, Springer International Publishing, doi: 10.1007/978-3-319-56759-4_13, 2017, pp. 223-236