Marian B. Gorzalczany

34 papers B 6Misc 4Journal 9Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering minimal sets of informative genes via multi-step clustering of SRBC-tumor gene expression data using generalized self-organizing neural networks.
Expert Syst. Appl.
Marian B. Gorzalczany, Filip Rudzinski
2022 J jnl
Intrusion Detection in Internet of Things With MQTT Protocol - An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution.
IEEE Internet Things J.
Marian B. Gorzalczany, Filip Rudzinski
2020 J jnl
Evolution of SOMs' Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data.
Algorithms
Marian B. Gorzalczany, Filip Rudzinski
2019 B conf
Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic Approach.
FUZZ-IEEE
Marian B. Gorzalczany, Filip Rudzinski
2019 — conf
Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures.
SSCI
Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski
2018 B conf
ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off Optimization.
FUZZ-IEEE
Marian B. Gorzalczany, Filip Rudzinski
2018 — conf
Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging Structures.
ISIE
Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski
2018 J jnl
Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Marian B. Gorzalczany, Filip Rudzinski
2017 — conf
Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques.
ICAISC (1)
Marian B. Gorzalczany, Filip Rudzinski
2017 — conf
Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off.
SSCI
Marian B. Gorzalczany, Filip Rudzinski
2017 J jnl
Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach.
Expert Syst. Appl.
Marian B. Gorzalczany, Filip Rudzinski
2017 — conf
Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach.
EUSFLAT/IWIFSGN (2)
Marian B. Gorzalczany, Filip Rudzinski
2017 — conf
UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems.
IFSA-SCIS
Marian B. Gorzalczany, Filip Rudzinski
2016 J jnl
A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability.
Appl. Soft Comput.
Marian B. Gorzalczany, Filip Rudzinski
2016 — conf
A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications.
ISIE
Marian B. Gorzalczany, Filip Rudzinski
2016 B conf
An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems.
FUZZ-IEEE
Marian B. Gorzalczany, Filip Rudzinski
2016 B conf
Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures.
IJCNN
Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski
2015 — conf
Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering.
IFSA-EUSFLAT
Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski
2015 — conf
Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures.
ICAISC (1)
Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski
2014 — conf
Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis.
ICAISC (2)
Marian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski
2012 — conf
Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach.
ICAISC (SIDE-EC)
Marian B. Gorzalczany, Filip Rudzinski
2012 — conf
Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series.
ICAISC (SIDE-EC)
Marian B. Gorzalczany, Filip Rudzinski
2010 — conf
A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data.
ICAISC (1)
Marian B. Gorzalczany, Filip Rudzinski
2008 Misc conf
WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks.
ICAISC
Marian B. Gorzalczany, Filip Rudzinski
2006 Misc conf
Cluster Analysis Via Dynamic Self-organizing Neural Networks.
ICAISC
Marian B. Gorzalczany, Filip Rudzinski
2004 Misc conf
Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis.
ICAISC
Marian B. Gorzalczany, Filip Rudzinski
2004 Misc conf
Modified Kohonen Networks for Complex Cluster-Analysis Problems.
ICAISC
Marian B. Gorzalczany, Filip Rudzinski
2002 — book
Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms
Marian B. Gorzalczany
2002 — conf
Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic Processes.
Advances in Computational Intelligence and Learning
Marian B. Gorzalczany, Adam Gluszek
2000 B conf
Neuro-fuzzy networks in time series modelling.
KES
Marian B. Gorzalczany, Adam Gluszek
1999 J jnl
Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision Support.
Inf. Sci.
Marian B. Gorzalczany, Zdzislaw Piasta
1999 J jnl
On Some Idea of a Neuro-fuzzy Controller.
Inf. Sci.
Marian B. Gorzalczany
1992 B conf
Combination of neural networks and fuzzy sets as a basis for medical expert systems.
CBMS
Marian B. Gorzalczany, Mary McLeish
1980 J jnl
On stability of formal fuzziness systems.
Inf. Sci.
Aleksander A. Kania, Jerzy B. Kiszka, Marian B. Gorzalczany, Jaroslaw R. Maj, Marian S. Stachowicz