Rafał Scherer

Publications

2016
[88]M. Lagiewka, R. Scherer and R. Angryk, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Cham: Springer International Publishing, 2016, ch. ch. Color-Based Large-Scale Image Retrieval with Limited Hardware Resources, pp. 689-699. [bibtex] [pdf] [doi]
[87]P. Staszewski, P. Woldan, M. Korytkowski, R. Scherer, L. Wang, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Cham: Springer International Publishing, 2016, ch. ch. Query-by-Example Image Retrieval in Microsoft SQL Server, pp. 746-754. [bibtex] [pdf] [doi]
[86]P. Najgebauer, R. Scherer, 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, Krakow, Poland, Cham: Springer International Publishing, 2016, ch. ch. Fast Image Search by Trees of Keypoint Descriptors, pp. 541-552. [bibtex] [pdf] [doi]
[85]P. Najgebauer, M. Korytkowski, C. D. Barranco, R. Scherer, Artificial Intelligence and Soft Computing: 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II, Cham: Springer International Publishing, 2016, ch. ch. Novel Image Descriptor Based on Color Spatial Distribution, pp. 712-722. [bibtex] [pdf] [doi]
[84]M. Korytkowski, L. Rutkowski and R. Scherer, "Fast image classification by boosting fuzzy classifiers", Information Sciences, vol. 327, 2016, pp. 175 - 182. [bibtex] [pdf] [doi]
[83]R. Grycuk, M. Gabryel, R. Nowicki, R. Scherer, "Content-Based Image Retrieval Optimization by Differential Evolution", in Proceedings of the 2014 IEEE Congress on Evolutionary Computation (IEEE CEC), Vancouver, July 24-29, 2016. [bibtex]
[82]P. Duda, M. Jaworski, L. Pietruczuk, M. Korytkowski, M. Gabryel, R. Scherer, 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, Cham: Springer International Publishing, 2016, ch. ch. On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description, pp. 529-540. [bibtex] [pdf] [doi]
2015
[81]J. Romanowski, M. Korytkowski and R. Scherer, "Efficient Bone Detector and Geometric Descriptor for X-Ray Imaging", in Computational Intelligence, 2015 IEEE Symposium Series on, pp. 1337-1342. [bibtex] [doi]
[80]R. K. Nowicki, M. Korytkowski, R. Scherer, B. A. Nowak, "Design Methodology for Rough Neuro-Fuzzy Classification with Missing Data", in Computational Intelligence, 2015 IEEE Symposium Series on, pp. 1650-1657. [bibtex] [doi]
[79]M. Korytkowski, R. Scherer, P. Staszewski, P. Woldan, "Bag-of-features image indexing and classification in microsoft SQL server relational database", in Cybernetics (CYBCONF), 2015 IEEE 2nd International Conference on, pp. 478-482. [bibtex] [doi]
[78]S. Ferdowsi, S. Voloshynovskiy, D. Kostadinov, M. Korytkowski, R. Scherer, "Secure Representation of Images Using Multi-layer Compression", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, J. M. Zurada, Eds., Springer International Publishing, 2015, pp. 696-705. [bibtex] [pdf] [doi]
[77]P. Najgebauer, J. Rygał, T. Nowak, J. Romanowski, L. Rutkowski, S. Voloshynovskiy, R. Scherer, "Fast Dictionary Matching for Content-Based Image Retrieval", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, J. M. Zurada, Eds., Springer International Publishing, 2015, pp. 747-756. [bibtex] [pdf] [doi]
[76]R. Grycuk, R. Scherer and M. Gabryel, "New image descriptor from edge detector and blob extractor", Journal of Applied Mathematics and Computational Mechanics, vol. 14, no. 4, 2015, pp. 31-39. [bibtex] [pdf] [doi]
[75]D. Kostadinov, S. Voloshynovskiy, S. Ferdowsi, M. Diephuis, R. Scherer, "Supervised Transform Learning for Face Recognition", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, J. M. Zurada, Eds., Springer International Publishing, 2015, pp. 737-746. [bibtex]
[74]R. Grycuk, M. Gabryel, R. Scherer, S. Voloshynovskiy, "Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, J. M. Zurada, Eds., Springer International Publishing, 2015, pp. 715-726. [bibtex] [pdf] [doi]
2014
[73]P. Najgebauer, T. Nowak, J. Romanowski, M. Gabryel, M. Korytkowski, R. Scherer, "Content-based image retrieval by dictionary of local feature descriptors", in 2014 International Joint Conference on Neural Networks (IJCNN), pp. 512-517. [bibtex] [doi]
[72]J. Ryga\l, J. Romanowski, R. Scherer, S. Ferdowsi, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part I, Cham: Springer International Publishing, 2014, ch. ch. Novel Algorithm for Translation from Image Content to Semantic Form, pp. 783-792. [bibtex] [pdf] [doi]
[71]T. Nowak, P. Najgebauer, J. Romanowski, M. Gabryel, M. Korytkowski, R. Scherer, D. Kostadinov, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Cham: Springer International Publishing, 2014, ch. ch. Spatial Keypoint Representation for Visual Object Retrieval, pp. 639-650. [bibtex] [pdf] [doi]
[70]D. Kostadinov, S. Voloshynovskiy, S. Ferdowsi, M. Diephuis, R. Scherer, Artificial Intelligence and Soft Computing: 13th International Conference, ICAISC 2014, Zakopane, Poland, June 1-5, 2014, Proceedings, Part II, Cham: Springer International Publishing, 2014, ch. ch. Robust Face Recognition by Group Sparse Representation That Uses Samples from List of Subjects, pp. 616-626. [bibtex] [pdf] [doi]
[69]R. Grycuk, M. Gabryel, M. Korytkowski, R. Scherer, J. Romanowski, "Improved Digital Image Segmentation Based on Stereo Vision and Mean Shift Algorithm", in Parallel Processing and Applied Mathematics 2013, Springer Berlin Heidelberg, 2014. [bibtex]
[68]R. Grycuk, M. Gabryel, M. Korytkowski, J. Romanowski, R. Scherer, Parallel Processing and Applied Mathematics: 10th International Conference, PPAM 2013, Warsaw, Poland, September 8-11, 2013, Revised Selected Papers, Part I, Berlin, Heidelberg: Springer Berlin Heidelberg, 2014, ch. ch. Improved Digital Image Segmentation Based on Stereo Vision and Mean Shift Algorithm, pp. 433-443. [bibtex] [pdf] [doi]
[67]R. Grycuk, M. Gabryel, M. Korytkowski, R. Scherer, "Content-based Image Indexing by Data Clustering and Inverse Document Frequency", in Beyond Databases, Architectures and Structures 2014, Springer Berlin Heidelberg, 2014, pp. 374-383. [bibtex]
[66]T. Nowak, M. Gabryel, M. Korytkowski, R. Scherer, "Comparing Images Based on Histograms of Local Interest Points", in Parallel Processing and Applied Mathematics 2013, Springer Berlin Heidelberg, 2014. [bibtex]
2013
[65]P. Najgebauer, M. Gabryel, M. Korytkowski, R. Scherer, "Tree Representation of Image Key Point Descriptors", in Proceedings of the 8th International Conference on Knowledge, Information and Creativity Support Systems, Krakow, Poland, November 7-9, 2013, pp. 402-412. [bibtex]
[64]P. Duda, M. Jaworski, L. Pietruczuk, R. Scherer, M. Korytkowski, M. Gabryel, "On the Application of Fourier Series Density Estimation for Image Classification Based on Feature Description", in Proceedings of the 8th International Conference on Knowledge, Information and Creativity Support Systems, Krakow, Poland, November 7-9, 2013, pp. 81-91. [bibtex]
[63]T. Nowak, P. Najgebauer, J. Rygał, R. Scherer, "A Novel Graph-Based Descriptor for Object Matching", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin Heidelberg, 2013, pp. 602-612. [bibtex] [pdf] [doi]
[62]M. Gabryel, M. Korytkowski, R. Scherer, L. Rutkowski, "Object Detection by Simple Fuzzy Classifiers Generated by Boosting", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin Heidelberg, 2013, pp. 540-547. [bibtex] [pdf] [doi]
[61]J. Rygał, P. Najgebauer, J. Romanowski, R. Scherer, "Extraction of Objects from Images Using Density of Edges as Basis for GrabCut Algorithm", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin Heidelberg, 2013, pp. 613-623. [bibtex] [pdf] [doi]
2012
[60]A. Szarek, M. Korytkowski, L. Rutkowski, R. Scherer, J. Szyprowski, "Forecasting Wear of Head and Acetabulum in Hip Joint Implant", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin / Heidelberg, 2012, pp. 341-346. [bibtex] [pdf]
[59]A. Szarek, M. Korytkowski, L. Rutkowski, R. Scherer, J. Szyprowski, "Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin / Heidelberg, 2012, pp. 335-340. [bibtex] [pdf]
[58]P. Najgebauer, T. Nowak, J. Romanowski, J. Rygał, M. Korytkowski, R. Scherer, "Novel Method for Parasite Detection in Microscopic Samples", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin / Heidelberg, 2012, pp. 551-558. [bibtex] [pdf]
[57]J. Rygał, P. Najgebauer, T. Nowak, J. Romanowski, M. Gabryel, R. Scherer, "Properties and Structure of Fast Text Search Engine in Context of Semantic Image Analysis", in Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. Zadeh, J. Zurada, Eds., Springer Berlin / Heidelberg, 2012, pp. 592-599. [bibtex]
2011
[56]M. Korytkowski, R. Nowicki, L. Rutkowski, R. Scherer, "AdaBoost Ensemble of DCOG Rough–Neuro–Fuzzy Systems", in Computational Collective Intelligence. Technologies and Applications, P. Jedrzejowicz, N. Nguyen, K. Hoang, Eds., Springer Berlin / Heidelberg, 2011, pp. 62-71. [bibtex] [pdf]
[55]M. Korytkowski, L. Rutkowski and R. Scherer, "Rule Base Normalization in Takagi-Sugeno Ensemble", in IEEE Symposium Series on Computational Intelligence - SSCI 2011, April 11-15, 2011 - Paris, France, 2011 IEEE Workshop on Hybrid Intelligent Models and Applications, pp. 1-5. [bibtex]
[54]R. Scherer, "An Ensemble of Logical-type Neuro-fuzzy Systems", Expert Systems With Applications, 2011. [bibtex] [doi]
2010
[53]R. Scherer, J. T. Starczewski, "Relational Type-2 Interval Fuzzy Systems", Lecture Notes in Computer Science, vol. 6067, 2010, pp. 360–368. [bibtex] [pdf] [doi]
[52]M. Korytkowski, L. Rutkowski, R. Scherer, A. Szarek, "Neural Network-Based Assessment of Femur Stress after Hip Joint Alloplasty", Lecture Notes in Artificial Intelligence, vol. 6113, 2010, pp. 621-626. [bibtex] [pdf]
[51]R. Scherer, "Neuro-fuzzy Systems with Relation Matrix", Lecture Notes in Artificial Intelligence, vol. 6113, 2010, pp. 210-216. [bibtex] [pdf]
[50]M. Korytkowski, R. Scherer, "Negative Correlation Learning of Neuro-fuzzy System", Lecture Notes in Artificial Intelligence, vol. 6113, 2010, pp. 114-119. [bibtex] [pdf]
[49]M. Gabryel, M. Korytkowski, A. Pokropinska, R. Scherer, a. S. Drozda, "Evolutionary Learning for Neuro-fuzzy Ensembles with Generalized Parametric Triangular Norms", Lecture Notes in Artificial Intelligence, vol. 6113, 2010, pp. 74-79. [bibtex] [pdf]
[48]R. Scherer, "Designing Boosting Ensemble of Relational Fuzzy Systems", International Journal of Neural Systems, vol. 20, no. 5, 2010, pp. 381–388. [bibtex] [pdf]
[47]M. Korytkowski, R. Nowicki, R. Scherer, L. Rutkowski, "MICOG Defuzzification Rough--Neuro--Fuzzy System Ensemble", in 2010 IEEE International Conference on Fuzzy Systems. [bibtex] [doi]
[46]M. Korytkowski, R. Scherer, "Modular Neuro-Fuzzy Systems Based on Generalized Parametric Triangular Norms", Lecture Notes in Computer Science, vol. 6067, 2010, pp. 332-339. [bibtex]
2009
[45]L. Rutkowski, K. Cpałka, R. Nowicki, A. Pokropińska, R. Scherer, "Neuro-Fuzzy Systems", in Encyclopedia of Complexity and Systems Science, R. A. Meyers, Ed., Springer, 2009. [bibtex]
[44]R. Scherer, "Neuro-Fuzzy Relational Systems for Nonlinear Approximation and Prediction", Nonlinear Analysis, vol. 71, 2009, pp. e1420-e1425. [bibtex] [pdf] [doi]
[43]M. Korytkowski, R. Nowicki and R. Scherer, "Neuro-fuzzy Rough Classifier Ensemble", Lecture Notes in Computer Science, vol. 5768, 2009, pp. 817-823. [bibtex]
2008
[42]M. Korytkowski, T. Niksa and R. Scherer, "Obtaining Type-2 Fuzzy Rules from Ensemble of Neuro-Fuzzy Classifiers", in Computational Intelligence: Methods and Applications, L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, J. Zurada, Eds., Academic Publishing House EXIT, 2008, pp. 216-222. [bibtex]
[41]J. Starczewski, R. Scherer, M. Korytkowski, R. Nowicki, "Modular Type-2 Neuro-fuzzy Systems", Lecture Notes in Computer Science, vol. 4967, 2008, pp. 570-578. [bibtex] [pdf]
[40]R. Scherer, "Generating Fuzzy Rules from Ensemble of Relational Fuzzy Systems", in Recent Advances in Control and Automation, K. Malinowski, L. Rutkowski, Eds., Academic Publishing House EXIT, 2008, pp. 438-445. [bibtex]
[39]R. Scherer, "Regression Modeling with Fuzzy Relations", Lecture Notes in Artificial Intelligence, vol. 5097, 2008, pp. 317-323. [bibtex] [pdf]
[38]R. Scherer, A. Pokropińska, "Financial Prediction with Neuro-fuzzy Systems", Lecture Notes in Artificial Intelligence, vol. 5097, 2008, pp. 1120-1126. [bibtex] [pdf]
[37]R. Scherer, M. Korytkowski, R. Nowicki, L. Rutkowski, "Modular Rough Neuro-fuzzy Systems for Classification", Lecture Notes in Computer Science, vol. 4967, 2008, pp. 540-548. [bibtex] [pdf]
[36]M. Korytkowski, R. Nowicki, R. Scherer, L. Rutkowski, "Ensemble of Rough-Neuro-Fuzzy Systems for Classification with Missing Features", in 2008 IEEE International Conference on Fuzzy Systems (FUZZ 2008), pp. 1745-1750. [bibtex]
[35]M. Korytkowski, L. Rutkowski and R. Scherer, "From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier", Lecture Notes in Artificial Intelligence, vol. 5097, 2008, pp. 265-272. [bibtex] [pdf]
[34]M. Gabryel, R. Scherer, "Determining Fuzzy Relation by Evolutionary Learning in Neuro-Fuzzy Systems", in Computational Intelligence: Methods and Applications, L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, J. Zurada, Eds., Academic Publishing House EXIT, 2008, pp. 176-182. [bibtex]
2007
[33]M. Korytkowski, L. Rutkowski and R. Scherer, "On Speeding Up the Learning Process of Neuro-fuzzy Ensembles Generated by the Adaboost Algorithm", in Computer Recognition Systems 2, M. Kurzynski, E. Puchala, M. Wozniak, A. Zolnierek, Eds., Springer, 2007, pp. 318-326. [bibtex]
[32]M. Korytkowski, R. Scherer, L. Rutkowski, G. Drozda, "On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems", in IEEE Symposium on Computational Intelligence and Data Mining, 2007. CIDM 2007. Honolulu, Hawaii, April 1-5, 2007, pp. 234-237. [bibtex] [doi]
2006
[31]M. Korytkowski, R. Nowicki, R. Scherer, L. Rutkowski, "Merging Ensemble of Neuro-fuzzy Systems, 2006 International Joint Conference on Neural Networks", in 2006 IEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, pp. 1954-1957. [bibtex] [doi]
[30]M. Korytkowski, R. Scherer and L. Rutkowski, "On Combining Backpropagation with Boosting", in 2006 International Joint Conference on Neural Networks, IEEE World Congress on Computational Intelligence, Vancouver, BC, Canada, pp. 1274-1277. [bibtex] [doi]
[29]A. Pokropińska, R. Scherer, "Designing Relational Neuro-fuzzy Systems using Information Criteria", in Artificial Intelligence and Soft Computing, A. Cader, L. Rutkowski, R. Tadeusiewicz, J. Zurada, Eds., Academic Publishing House EXIT, Warsaw, 2006, pp. 147-155. [bibtex]
[28]M. Korytkowski, R. Scherer, L. Rutkowski, G. Drozda, "XML-based Language for Connectionist Structure Description", in Artificial Intelligence and Soft Computing, A. Cader, L. Rutkowski, R. Tadeusiewicz, J. Zurada, Eds., Academic Publishing House EXIT, Warsaw, 2006, pp. 469-474. [bibtex]
[27]M. Korytkowski, R. Nowicki, L. Rutkowski, R. Scherer, "Combining Logical-Type Neuro Fuzzy Systems", Lecture Notes in Artificial Intelligence, vol. 4029, 2006, pp. 240-249. [bibtex] [pdf] [doi]
[26]R. Scherer, "Boosting Ensemble of Relational Neuro-fuzzy Systems", Lecture Notes in Artificial Intelligence, vol. 4029, 2006, pp. 306-313. [bibtex]
[25]A. Pokropinska, R. Nowicki and R. Scherer, "Isolines of Stastistical Information Criteria for Relational Neuro-fuzzy System Design,", Lecture Notes in Artificial Intelligence, vol. 4029, 2006, pp. 288-296. [bibtex] [pdf] [doi]
2005
[24]R. Scherer, L. Rutkowski, "Connectionist Fuzzy Relational Systems", in Studies in Computational Intelligence, Computational Intelligence for Modelling and Control, S. Hagamuge, L. Wang, Eds., Springer-Verlag, 2005, pp. 35-47. [bibtex]
[23]M. Korytkowski, L. Rutkowski, R. Scherer, G. Drozda, "New method of classifier ensemble learning for medical diagnosis", in XIV National Conference Biocybernetics and Biomedical Engineering, Czestochowa, Poland, September 21–23, 2005, pp. 987-992. [bibtex]
2004
[22]R. Scherer, J. Starczewski and A. Gaweda, "New Methods for Uncertainty Representations in Neuro-Fuzzy Systems", Lecture Notes in Computer Science, vol. 3019, 2004, pp. 659-667. [bibtex]
[21]M. Korytkowski, M. Gabryel, R. Nowicki, R. Scherer, "Genetic Algorithm for Database Indexing", Lecture Notes in Artificial Intelligence, vol. 3070, 2004, pp. 1142-1147. [bibtex] [pdf] [doi]
[20]A. E. Gaweda, R. Scherer, "Fuzzy Number-Based Hierarchical Fuzzy System", Lecture Notes in Computer Science, vol. 3070, 2004, pp. 302-307. [bibtex]
[19]R. Scherer, "Genetically Learned Relational Neuro-fuzzy Systems", in International Conference on Computing, Communications and Control Technologies: CCCT'04, August 14-17, 2004 - Austin, Texas, USA, pp. 269. [bibtex]
[18]R. Scherer, L. Rutkowski, "Neuro-Fuzzy Relational Classifiers", Lecture Notes in Computer Science, vol. 3070, 2004, pp. 376-380. [bibtex]
2003
[17]R. Scherer, L. Rutkowski, "A Fuzzy Relational System with Linguistic Antecedent Certainty Factors", in Advances in Soft Computing, Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, 2002, Rutkowski, Kacprzyk, Eds., Springer Physica-Verlag, 2003, pp. 563-569. [bibtex]
[16]R. Nowicki, R. Scherer and L. Rutkowski, "A Hierarchical Neuro-Fuzzy System Based on S-Implications", in 2003 International Joint Conference on Neural Networks, June 17-27, 2003, Portland, Oregon, USA, pp. 321-325. [bibtex]
[15]R. Nowicki, R. Scherer, "Wstęp do systemów rozmyto-neuronowych", in Ewolucja czy rewolucja, Nowoczesne techniki informatyczne, R. Cierniak, Ed., KIK, Katowice, 2003, pp. 133-152. [bibtex]
2002
[14]R. Nowicki, R. Scherer and L. Rutkowski, "A Neuro-Fuzzy System Based On The Hierarchical Prioritized Structure", in 10th Zittau Fuzzy Colloquium, 2002, Zittau, Germany, pp. 192-198. [bibtex]
[13]R. Scherer, L. Rutkowski, "Relational Equations Initializing Neuro-Fuzzy System", in 10th Zittau Fuzzy Colloquium, 2002, Zittau, Germany, pp. 212-217. [bibtex]
[12]R. Scherer, L. Rutkowski, "New Neuro-fuzzy Structures", in XIV National Conference on Automatics, KKA’02, Zielona Gora, Poland, 2002, pp. 809-812. [bibtex]
[11]R. Scherer, L. Rutkowski, "Neuro-Fuzzy Relational Systems", in 2002 International Conference on Fuzzy Systems and Knowledge Discovery, November 18-22, 2002, Singapore, pp. 44-48. [bibtex]
[10]R. Nowicki, R. Scherer and L. Rutkowski, "A Method For Learning Of Hierarchical Fuzzy Systems", in Intelligent Technologies – Theory and Applications, P. S. e. al, Ed., IOS Press, Amsterdam, 2002, pp. 124-129. [bibtex]
2001
[9]R. Nowicki, R. Scherer, "A Hierarchical Fuzzy System With Fuzzy Intermediate Variables", in Proceedings of The 9th Zittau Fuzzy Colloquium 2001, Germany, pp. 88-93. [bibtex]
[8]R. Nowicki, R. Scherer, "Hierarchical Fuzzy System With A New Approach To Transferring The Intermediate Variables", in Proceedings of The 10th International Conference on Systems Modelling Control SMC 2001, pp. 103-108. [bibtex]
[7]R. Scherer, L. Rutkowski, "A Neuro-Fuzzy Relational System", in Proceedings of the Fourth International Conference on Parallel Processing and Applied Mathematics, Naleczow 2001, Workshop, Czestochowa 2001, pp. 131-135. [bibtex]
[6]R. Scherer, A. Pokropinska and L. Rutkowski, "A Multi-Agent Approach to Medical Data Classification", in Proceedings of the Fourth International Conference on Parallel Processing and Applied Mathematics, Naleczow 2001, Workshop, Czestochowa 2001, pp. 136-143. [bibtex]
[5]R. Scherer, A. Pokropinska and L. Rutkowski, "A Multi-Agent Fusion Classification System", in Proceedings of the Second International Workshop of Central and Eastern Europe on Multi-Agent Systems, CEEMAS’01, 2001, pp. 385-394. [bibtex]
2000
[4]R. Scherer, L. Rutkowski, "A survey of hierarchical fuzzy systems", in Proceedings of the Fifth Conference Neural Networks and Soft Computing - Częstochowa 2000, pp. 374-382. [bibtex]
1999
[3]R. Scherer, L. Rutkowski, "Survey of Selected Fuzzy Rule Pruning Methods", in Proceedings of the Fifth Conference Neural Networks and Soft Computing - Częstochowa 1999, pp. 308-313. [bibtex]
1997
[2]J. Bilski, R. Scherer, "The Pipeline Method of the Feedforward Neural Networks Learning", in Proceedings of the Fifth Conference Neural Networks and Soft Computing - Częstochowa 1997, pp. 93-98. [bibtex]
1996
[1]J. Bilski, R. Nowicki, R. Scherer, S. Litwiński, "Application of Signal Processor TMS320C30 to Neural Networks Realisation", in Proceedings of the Fifth Conference Neural Networks and Soft Computing - Częstochowa 1996, pp. 53-59. [bibtex]