Marian B. Gorzalczany - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 33 from 33

2022

Intrusion Detection in Internet of Things With MQTT Protocol - An Accurate and Interpretable Genetic-Fuzzy Rule-Based SolutionMarian B. Gorzalczany, Filip Rudzinski. iotj, 9(24):24843-24855, 2022. [doi]

2020

Evolution of SOMs' Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex DataMarian B. Gorzalczany, Filip Rudzinski. algorithms, 13(5):109, 2020. [doi]

2019

Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic ApproachMarian B. Gorzalczany, Filip Rudzinski. fuzzIEEE 2019: 1-6 [doi]

Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structuresMarian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski. ssci 2019: 534-540 [doi]

2018

Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster AnalysisMarian B. Gorzalczany, Filip Rudzinski. tnn, 29(7):2833-2845, 2018. [doi]

Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging StructuresMarian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski. visalg 2018: 747-752 [doi]

ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off OptimizationMarian B. Gorzalczany, Filip Rudzinski. fuzzIEEE 2018: 1-8 [doi]

2017

Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approachMarian B. Gorzalczany, Filip Rudzinski. eswa, 71:26-39, 2017. [doi]

Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization TechniquesMarian B. Gorzalczany, Filip Rudzinski. icaisc 2017: 638-648 [doi]

Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy ApproachMarian B. Gorzalczany, Filip Rudzinski. eusflat 2018: 165-175 [doi]

Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-offMarian B. Gorzalczany, Filip Rudzinski. ssci 2017: 1-8 [doi]

UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systemsMarian B. Gorzalczany, Filip Rudzinski. ifsa 2017: 1-6 [doi]

2016

2015

Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like StructuresMarian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski. icaisc 2015: 15-25 [doi]

Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document ClusteringMarian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski. eusflat 2015:

2014

Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster AnalysisMarian B. Gorzalczany, Jakub Piekoszewski, Filip Rudzinski. icaisc 2014: 713-725 [doi]

2012

Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time SeriesMarian B. Gorzalczany, Filip Rudzinski. icaisc 2012: 231-239 [doi]

Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary ApproachMarian B. Gorzalczany, Filip Rudzinski. icaisc 2012: 222-230 [doi]

2010

A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from DataMarian B. Gorzalczany, Filip Rudzinski. icaisc 2010: 88-96 [doi]

2008

WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural NetworksMarian B. Gorzalczany, Filip Rudzinski. icaisc 2008: 40-51 [doi]

2006

Cluster Analysis Via Dynamic Self-organizing Neural NetworksMarian B. Gorzalczany, Filip Rudzinski. icaisc 2006: 593-602 [doi]

2004

Application of Genetic Algorithms and Kohonen Networks to Cluster AnalysisMarian B. Gorzalczany, Filip Rudzinski. icaisc 2004: 556-561 [doi]

Modified Kohonen Networks for Complex Cluster-Analysis ProblemsMarian B. Gorzalczany, Filip Rudzinski. icaisc 2004: 562-567 [doi]

2002

Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic ProcessesMarian B. Gorzalczany, Adam Gluszek. acil 2002: 135-146

Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural SynergismsMarian B. Gorzalczany. Volume 86 of Studies in Fuzziness and Soft Computing, Springer, 2002. [doi]

2000

Neuro-fuzzy networks in time series modellingMarian B. Gorzalczany, Adam Gluszek. kes 2000: 450-453 [doi]

1999

Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision SupportMarian B. Gorzalczany, Zdzislaw Piasta. isci, 120(1-4):45-68, 1999.

On Some Idea of a Neuro-fuzzy ControllerMarian B. Gorzalczany. isci, 120(1-4):69-87, 1999.

1992

Combination of neural networks and fuzzy sets as a basis for medical expert systemsMarian B. Gorzalczany, Mary McLeish. cbms 1992: 412-420 [doi]

1980

On stability of formal fuzziness systemsAleksander A. Kania, Jerzy B. Kiszka, Marian B. Gorzalczany, Jaroslaw R. Maj, Marian S. Stachowicz. isci, 22(1):51-68, 1980. [doi]

Sign in or sign up to see more results.

runs on WebDSL