Marian B. Gorzalczany

Publication Activity (10 Years)

Years Active: 1980-2022
Publications (10 Years): 18

Top Topics

Decision Support

Evolutionary Optimization

Gene Expression

Top Venues

Publications

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) (2022)
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) (2020)
Marian B. Gorzalczany, Filip Rudzinski
Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic Approach. FUZZ-IEEE (2019)
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)
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)
Marian B. Gorzalczany, Filip Rudzinski
ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off Optimization. FUZZ-IEEE (2018)
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) (2018)
Marian B. Gorzalczany, Filip Rudzinski
Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach. Expert Syst. Appl. 71 (2017)
Marian B. Gorzalczany, Filip Rudzinski
Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques. ICAISC (1) (2017)
Marian B. Gorzalczany, Filip Rudzinski
Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off. SSCI (2017)
Marian B. Gorzalczany, Filip Rudzinski
UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems. IFSA-SCIS (2017)
Marian B. Gorzalczany, Filip Rudzinski
Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach. EUSFLAT/IWIFSGN (2) (2017)
Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures. IJCNN (2016)
Marian B. Gorzalczany, Filip Rudzinski
A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications. ISIE (2016)
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 (2016)
Marian B. Gorzalczany, Filip Rudzinski
An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems. FUZZ-IEEE (2016)
Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski
Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering. IFSA-EUSFLAT (2015)
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)
Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski
Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis. ICAISC (2) (2014)
Marian B. Gorzalczany, Filip Rudzinski
Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series. ICAISC (SIDE-EC) (2012)
Marian B. Gorzalczany, Filip Rudzinski
Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach. ICAISC (SIDE-EC) (2012)
Marian B. Gorzalczany, Filip Rudzinski
A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data. ICAISC (1) (2010)
Marian B. Gorzalczany, Filip Rudzinski
WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks. ICAISC (2008)
Marian B. Gorzalczany, Filip Rudzinski
Cluster Analysis Via Dynamic Self-organizing Neural Networks. ICAISC (2006)
Marian B. Gorzalczany, Filip Rudzinski
Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis. ICAISC (2004)
Marian B. Gorzalczany, Filip Rudzinski
Modified Kohonen Networks for Complex Cluster-Analysis Problems. ICAISC (2004)
Marian B. Gorzalczany, Adam Gluszek
Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic Processes. Advances in Computational Intelligence and Learning (2002)
Marian B. Gorzalczany, Adam Gluszek
Neuro-fuzzy networks in time series modelling. KES (2000)
Marian B. Gorzalczany
On Some Idea of a Neuro-fuzzy Controller. Inf. Sci. 120 (1-4) (1999)
Marian B. Gorzalczany, Zdzislaw Piasta
Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision Support. Inf. Sci. 120 (1-4) (1999)
Marian B. Gorzalczany, Mary McLeish
Combination of neural networks and fuzzy sets as a basis for medical expert systems. CBMS (1992)
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) (1980)