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Publikacje

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Rok: 2016

  • R. K. Nowicki, R. Scherer i 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. Więcej
  • W. Mleczko, R. Nowicki i R. Angryk. "", Rough Restricted Boltzmann Machine -- New Architecture for Incomplete Input Data, Rutkowski et al (Eds.), Springer International Publishing, Cham 2016, pp. 114-125. Więcej [Link]
  • M. Knop, T. Kapuściński, W. Mleczko i R. Angryk. "Neural Video Compression Based on RBM Scene Change Detection Algorithm". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 660-669. Więcej
  • W. Mleczko, R. Nowicki i R. Angryk. "Rough Restricted Boltzmann Machine--New Architecture for Incomplete Input Data". International Conference on Artificial Intelligence and Soft Computing. 2016. pp. 114-125. Więcej
  • P. Dziwi'nski i 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. Więcej
  • P. Dziwi'nski i 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. Więcej
  • R. Grycuk, M. Gabryel, R. Nowicki i R. Scherer. "Content-Based Image Retrieval Optimization by Differential Evolution". Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC). 2016. pp. 86-93. Więcej
  • T. Kapu'sci'nski, R. K. Nowicki i 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. Więcej [Link]
  • W. M. Kempa, M. Wo'zniak, R. K. Nowicki, M. Gabryel i 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. Więcej [Link]
  • R. K. Nowicki, B. A. Nowak i 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. Więcej [Link]
  • T. Olas, W. Mleczko, R. K. Nowicki i R. Wyrzykowski. "", Adaptation of Deep Belief Networks to Modern Multicore Architectures, Wyrzykowski et al (Eds.), Springer International Publishing, Cham 2016, pp. 459-472. Więcej [Link]
  • M. Wo'zniak, M. Gabryel, R. K. Nowicki i 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. Więcej [Link]
  • M. Wo'zniak, Z. Marszalek, M. Gabryel i R. K. Nowicki. "", Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, Skulimowski, M. J. Andrzej, Kacprzyk i Janusz (Eds.), Springer International Publishing, Cham 2016, pp. 111-121. Więcej [Link]
  • P. Duda, M. Jaworski, L. Pietruczuk, M. Korytkowski, M. Gabryel i 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 i Janusz (Eds.), Springer International Publishing, Cham 2016, pp. 529-540. Więcej [Link]
  • M. Korytkowski, L. Rutkowski i R. Scherer. "Fast image classification by boosting fuzzy classifiers", Information Sciences, vol. 327. 2016, pp. 175 - 182. Więcej [Link]

Rok: 2015

  • R. K. Nowicki, M. Korytkowski, B. A. Nowak i R. Scherer. "Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data". Computational Intelligence, 2015 IEEE Symposium Series on. 2015. pp. 1650-1657. Więcej
  • 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. Więcej
  • M. Wozniak, D. Polap, R. K. Nowicki, C. Napoli, G. Pappalardo i E. Tramontana. "Novel approach toward medical signals classifier". Neural Networks (IJCNN), 2015 International Joint Conference on. 2015. pp. 1-7. Więcej
  • T. Olas, W. Mleczko, R. Nowicki i R. Wyrzykowski. "Adaptation of Deep Belief Networks to Modern Multicore Architectures". International Conference on Parallel Processing and Applied Mathematics. 2015. pp. 459-472. Więcej
  • M. Knop, T. Kapuściński i 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. Więcej
  • T. Olas, W. Mleczko, R. Nowicki, R. Wyrzykowski i 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. Więcej [Link]
  • W. Mleczko, T. Kapuściński i 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. Więcej [Link]
  • P. Dziwi'nski i 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. Więcej
  • W. Mleczko, T. Kapu'sci'nski i R. K. Nowicki. "", Rough Deep Belief Network - Application to Incomplete Handwritten Digits Pattern Classification, Dregvaite, Giedre, Damasevicius i Robertas (Eds.), Springer International Publishing, Cham 2015, pp. 400-411. Więcej [Link]
  • C. Napoli, G. Pappalardo, E. Tramontana, R. K. Nowicki, J. T. Starczewski i M. Wo'zniak. "", Toward Work Groups Classification Based on Probabilistic Neural Network Approach, Rutkowski et al (Eds.), Springer International Publishing, Cham 2015, pp. 79-89. Więcej [Link]
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