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Year: 2018

  • A. Przybył. "Hard real-time communication solution for mechatronic systems", Robotics and Computer-Integrated Manufacturing, Vol. 49. 2018, pp. 309 - 316. [More] [Online version]

Year: 2016

  • R. K. Nowicki, R. Scherer and L. Rutkowski. "Novel Rough Neural Network for Classification with Missing Data". Methods and Models in Automation and Robotics (MMAR), 2016 21th International Conference on. 2016. pp. 820-825. [More]
  • W. Mleczko, R. Nowicki and R. Angryk. "", Rough Restricted Boltzmann Machine -- New Architecture for Incomplete Input Data, Rutkowski et al eds, Springer International Publishing, Cham 2016, pp. 114-125. [More] [Online version]
  • M. Knop, T. Kapuściński, W. Mleczko and R. Angryk. "Neural Video Compression Based on RBM Scene Change Detection Algorithm". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 660-669. [More]
  • W. Mleczko, R. Nowicki and R. Angryk. "Rough Restricted Boltzmann Machine--New Architecture for Incomplete Input Data". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 114-125. [More]
  • P. Dziwi'nski and E. D. Avedyan. "A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 279-292. [More]
  • P. Dziwi'nski and E. D. Avedyan. "A new method of the intelligent modeling of the nonlinear dynamic objects with fuzzy detection of the operating points". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 293-305. [More]
  • R. Grycuk, M. Gabryel, R. Nowicki and R. Scherer. "Content-Based Image Retrieval Optimization by Differential Evolution". Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC). 2016. pp. 86-93. [More]
  • T. Kapu'sci'nski, R. K. Nowicki and C. Napoli. "", Application of Genetic Algorithms in the Construction of Invertible Substitution Boxes, Rutkowski et al eds, Springer International Publishing, Cham 2016, pp. 380-391. [More] [Online version]
  • W. M. Kempa, M. Wo'zniak, R. K. Nowicki, M. Gabryel and R. Damaševicius. "", Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with ``Queued'' Waking up and Balking, Rutkowski et al eds, Springer International Publishing, Cham 2016, pp. 340-351. [More] [Online version]
  • R. K. Nowicki, B. A. Nowak and M. Wo'zniak. "", Application of Rough Sets in k Nearest Neighbours Algorithm for Classification of Incomplete Samples, Kunifuji et al eds, Springer International Publishing, Cham 2016, pp. 243-257. [More] [Online version]
  • T. Olas, W. Mleczko, R. K. Nowicki and R. Wyrzykowski. "", Adaptation of Deep Belief Networks to Modern Multicore Architectures, Wyrzykowski et al eds, Springer International Publishing, Cham 2016, pp. 459-472. [More] [Online version]
  • M. Wo'zniak, M. Gabryel, R. K. Nowicki and B. A. Nowak. "", An Application of Firefly Algorithm to Position Traffic in NoSQL Database Systems, Kunifuji et al eds, Springer International Publishing, Cham 2016, pp. 259-272. [More] [Online version]
  • M. Wo'zniak, Z. Marszalek, M. Gabryel and R. K. Nowicki. "", Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, Skulimowski, M. J. Andrzej, Kacprzyk and Janusz eds, Springer International Publishing, Cham 2016, pp. 111-121. [More] [Online version]
  • P. Duda, M. Jaworski, L. Pietruczuk, M. Korytkowski, M. Gabryel and R. Scherer. "On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description", Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions: Selected Papers from KICSS'2013 - 8th International Conference on Knowledge, Information, and Creativity Support Systems, November 7-9, 2013, Kraków, Poland, Skulimowski, M. J. Andrzej, Kacprzyk and Janusz eds, Springer International Publishing, Cham 2016, pp. 529-540. [More] [Online version]
  • M. Korytkowski, L. Rutkowski and R. Scherer. "Fast image classification by boosting fuzzy classifiers", Information Sciences, Vol. 327. 2016, pp. 175 - 182. [More] [Online version]

Year: 2015

  • R. K. Nowicki, M. Korytkowski, B. A. Nowak and R. Scherer. "Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data". Computational Intelligence, 2015 IEEE Symposium Series on. 2015. pp. 1650-1657. [More]
  • M. Wozniak et al.. "A multiscale image compressor with RBFNN and Discrete Wavelet decomposition". Neural Networks (IJCNN), 2015 International Joint Conference on. 2015. pp. 1-7. [More]
  • M. Wozniak, D. Polap, R. K. Nowicki, C. Napoli, G. Pappalardo and E. Tramontana. "Novel approach toward medical signals classifier". Neural Networks (IJCNN), 2015 International Joint Conference on. 2015. pp. 1-7. [More]
  • T. Olas, W. Mleczko, R. Nowicki and R. Wyrzykowski. "Adaptation of Deep Belief Networks to Modern Multicore Architectures". International Conference on Parallel Processing and Applied Mathematics. 2015. pp. 459-472. [More]
  • M. Knop, T. Kapuściński and W. Mleczko. "Video key frame detection based on the restricted Boltzmann machine", Journal of Applied Mathematics and Computational Mechanics, Vol. 14. 2015, pp. 49-58. [More]
  • T. Olas, W. Mleczko, R. Nowicki, R. Wyrzykowski and A. Krzyzak, "Adaptation of RBM Learning for Intel MIC Architecture", Artificial Intelligence and Soft Computing, Rutkowski et al eds, Springer International Publishing, 2015, pp. 90-101. [More] [Online version]
  • W. Mleczko, T. Kapuściński and R. Nowicki. "Rough Deep Belief Network - Application to Incomplete Handwritten Digits Pattern Classification". Information and Software Technologies - 21st International Conference, ICIST 2015, Druskininkai, Lithuania, October 15-16, 2015, Proceedings. 2015. pp. 400-411. [More] [Online version]
  • P. Dziwi'nski and E. D. Avedyan. "A new approach to nonlinear modeling based on significant operating points detection". International Conference on Artificial Intelligence and Soft Computing. 2015. pp. 364-378. [More]
  • W. Mleczko, T. Kapu'sci'nski and R. K. Nowicki. "", Rough Deep Belief Network - Application to Incomplete Handwritten Digits Pattern Classification, Dregvaite, Giedre, Damasevicius and Robertas eds, Springer International Publishing, Cham 2015, pp. 400-411. [More] [Online version]
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