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Marian B. Gorzalczany

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2020 – today

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2022
[j8]
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Marian B. Gorzalczany, Filip Rudzinski:
Intrusion Detection in Internet of Things With MQTT Protocol - An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution. IEEE Internet Things J. 9(24): 24843-24855 (2022)
2020
[j7]
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Marian B. Gorzalczany, Filip Rudzinski:
Evolution of SOMs' Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data. Algorithms 13(5): 109 (2020)

2010 – 2019

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2019
[c24]
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Marian B. Gorzalczany, Filip Rudzinski:
Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic Approach. FUZZ-IEEE 2019: 1-6
[c23]
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Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski:
Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures. SSCI 2019: 534-540
2018
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Marian B. Gorzalczany, Filip Rudzinski:
Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster Analysis. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2833-2845 (2018)
[c22]
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Marian B. Gorzalczany, Filip Rudzinski:
ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off Optimization. FUZZ-IEEE 2018: 1-8
[c21]
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Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski:
Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging Structures. ISIE 2018: 747-752
2017
[j5]
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Marian B. Gorzalczany, Filip Rudzinski:
Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach. Expert Syst. Appl. 71: 26-39 (2017)
[c20]
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Marian B. Gorzalczany, Filip Rudzinski:
Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach. EUSFLAT/IWIFSGN (2) 2017: 165-175
[c19]
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Marian B. Gorzalczany, Filip Rudzinski:
Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques. ICAISC (1) 2017: 638-648
[c18]
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Marian B. Gorzalczany, Filip Rudzinski:
UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems. IFSA-SCIS 2017: 1-6
[c17]
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Marian B. Gorzalczany, Filip Rudzinski:
Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off. SSCI 2017: 1-8
2016
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Marian B. Gorzalczany, Filip Rudzinski:
A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability. Appl. Soft Comput. 40: 206-220 (2016)
[c16]
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Marian B. Gorzalczany, Filip Rudzinski:
An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems. FUZZ-IEEE 2016: 2227-2234
[c15]
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Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski:
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures. IJCNN 2016: 3666-3673
[c14]
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Marian B. Gorzalczany, Filip Rudzinski:
A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications. ISIE 2016: 78-83
2015
[c13]
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Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski:
Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering. IFSA-EUSFLAT 2015
[c12]
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Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski:
Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures. ICAISC (1) 2015: 15-25
2014
[c11]
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Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski:
Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis. ICAISC (2) 2014: 713-725
2012
[c10]
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Marian B. Gorzalczany, Filip Rudzinski:
Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach. ICAISC (SIDE-EC) 2012: 222-230
[c9]
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Marian B. Gorzalczany, Filip Rudzinski:
Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series. ICAISC (SIDE-EC) 2012: 231-239
2010
[c8]
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Marian B. Gorzalczany, Filip Rudzinski:
A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data. ICAISC (1) 2010: 88-96

2000 – 2009

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2008
[c7]
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Marian B. Gorzalczany, Filip Rudzinski:
WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks. ICAISC 2008: 40-51
2006
[c6]
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Marian B. Gorzalczany, Filip Rudzinski:
Cluster Analysis Via Dynamic Self-organizing Neural Networks. ICAISC 2006: 593-602
2004
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Marian B. Gorzalczany, Filip Rudzinski:
Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis. ICAISC 2004: 556-561
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Marian B. Gorzalczany, Filip Rudzinski:
Modified Kohonen Networks for Complex Cluster-Analysis Problems. ICAISC 2004: 562-567
2002
[b1]
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Marian B. Gorzalczany:
Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms. Studies in Fuzziness and Soft Computing 86, Springer 2002, ISBN 978-3-662-00334-3, pp. 1-330
[c3]
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Marian B. Gorzalczany, Adam Gluszek:
Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic Processes. Advances in Computational Intelligence and Learning 2002: 135-146
2000
[c2]
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Marian B. Gorzalczany, Adam Gluszek:
Neuro-fuzzy networks in time series modelling. KES 2000: 450-453

1990 – 1999

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1999
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Marian B. Gorzalczany, Zdzislaw Piasta:
Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision Support. Inf. Sci. 120(1-4): 45-68 (1999)
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Marian B. Gorzalczany:
On Some Idea of a Neuro-fuzzy Controller. Inf. Sci. 120(1-4): 69-87 (1999)
1992
[c1]
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Marian B. Gorzalczany, Mary McLeish:
Combination of neural networks and fuzzy sets as a basis for medical expert systems. CBMS 1992: 412-420

1980 – 1989

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1980
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Aleksander A. Kania, Jerzy B. Kiszka, Marian B. Gorzalczany, Jaroslaw R. Maj, Marian S. Stachowicz:
On stability of formal fuzziness systems. Inf. Sci. 22(1): 51-68 (1980)

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