Filip Rudziński
Tytuł
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A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability
MB Gorzałczany, F Rudziński
Applied Soft Computing 40, 206-220, 2016
782016
A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers
F Rudziński
Applied Soft Computing 38, 118-133, 2016
782016
Interpretable and accurate medical data classification–a multi-objective genetic-fuzzy optimization approach
MB Gorzałczany, F Rudziński
Expert Systems with Applications 71, 26-39, 2017
452017
Accuracy vs. interpretability of fuzzy rule-based classifiers: an evolutionary approach
MB Gorzałczany, F Rudziński
Swarm and Evolutionary Computation, 222-230, 2012
332012
A modified Pittsburg approach to design a genetic fuzzy rule-based classifier from data
MB Gorzałczany, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 88-96, 2010
262010
Application of genetic algorithms and Kohonen networks to cluster analysis
MB Gorzałczany, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 556-561, 2004
192004
Finding Sets of Non-Dominated Solutions with High Spread and Well-Balanced Distribution using Generalized Strength Pareto Evolutionary Algorithm.
F Rudziński
16th World Congress of the International-Fuzzy-Systems-Association (IFSA …, 2015
172015
Cluster analysis via dynamic self-organizing neural networks
MB Gorzałczany, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 593-602, 2006
172006
Genetic fuzzy rule-based modelling of dynamic systems using time series
MB Gorzałczany, F Rudziński
Swarm and evolutionary computation, 231-239, 2012
162012
Modified Kohonen networks for complex cluster-analysis problems
MB Gorzałczany, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 562-567, 2004
162004
Handling fuzzy systems’ accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods–selected problems
MB Gorzałczany, F Rudziński
Bulletin of the Polish Academy of Sciences: Technical Sciences, 791-798, 2015
142015
Generalized self-organizing maps for automatic determination of the number of clusters and their multiprototypes in cluster analysis
MB Gorzałczany, F Rudziński
IEEE transactions on neural networks and learning systems 29 (7), 2833-2845, 2017
132017
Generalized tree-like self-organizing neural networks with dynamically defined neighborhood for cluster analysis
MB Gorzałczany, J Piekoszewski, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 713-725, 2014
132014
WWW-newsgroup-document clustering by means of dynamic self-organizing neural networks
MB Gorzałczany, F Rudziński
International Conference on Artificial Intelligence and Soft Computing, 40-51, 2008
112008
An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems
MB Gorzałczany, F Rudziński
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2227-2234, 2016
102016
A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications
MB Gorzałczany, F Rudziński
2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), 78-83, 2016
92016
Generalized SOMs with splitting-merging tree-like structures for WWW-document clustering
MB Gorzalczany, F Rudzinski, J Piekoszewski
2015 Conference of the International Fuzzy Systems Association and the …, 2015
72015
Measurement data in genetic fuzzy modelling of dynamic systems
MB Gorzałczany, F Rudziński
Pomiary Automatyka Kontrola 56, 1420-1423, 2010
72010
Face recognition for movie character and actor discrimination based on similarity scores
R Baran, F Rudzinski, A Zeja
2016 International Conference on Computational Science and Computational …, 2016
62016
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures
MB Gorzałczany, F Rudzinski, J Piekoszewski
2016 International Joint Conference on Neural Networks (IJCNN), 3666-3673, 2016
62016
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