Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC, 2004)

Modified Kohonen Networks for Complex Cluster-Analysis Problems. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC, 2004)

Cluster Analysis Via Dynamic Self-organizing Neural Networks. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC, 2006)

WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC, 2008)

A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC (1), 2010)

Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC (SIDE-EC), 2012)

Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC (SIDE-EC), 2012)

Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis. - Marian B. Gorzalczany; Jakub Piekoszewski; Filip Rudzinski (ICAISC (2), 2014)

Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering. - Marian B. Gorzalczany; Filip Rudzinski; Jakub Piekoszewski (IFSA-EUSFLAT, 2015)

Finding Sets of Non-Dominated Solutions with High Spread and Well-Balanced Distribution using Generalized Strength Pareto Evolutionary Algorithm. - Filip Rudzinski (IFSA-EUSFLAT, 2015)

Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures. - Marian B. Gorzalczany; Jakub Piekoszewski; Filip Rudzinski (ICAISC (1), 2015)

An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems. - Marian B. Gorzalczany; Filip Rudzinski (FUZZ-IEEE, 2016)

Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures. - Marian B. Gorzalczany; Filip Rudzinski; Jakub Piekoszewski (IJCNN, 2016)

A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications. - Marian B. Gorzalczany; Filip Rudzinski (ISIE, 2016)

A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability. - Marian B. Gorzalczany; Filip Rudzinski (Appl. Soft Comput., 2016)

A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers. - Filip Rudzinski (Appl. Soft Comput., 2016)

Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach. - Marian B. Gorzalczany; Filip Rudzinski (EUSFLAT/IWIFSGN (2), 2017)

Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques. - Marian B. Gorzalczany; Filip Rudzinski (ICAISC (1), 2017)

An Application of Generalized Strength Pareto Evolutionary Algorithm for Finding a Set of Non-Dominated Solutions with High-Spread and Well-Balanced Distribution in the Logistics Facility Location Problem. - Filip Rudzinski (ICAISC (1), 2017)

UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems. - Marian B. Gorzalczany; Filip Rudzinski (IFSA-SCIS, 2017)

Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off. - Marian B. Gorzalczany; Filip Rudzinski (SSCI, 2017)

Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach. - Marian B. Gorzalczany; Filip Rudzinski (Expert Syst. Appl., 2017)

ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off Optimization. - Marian B. Gorzalczany; Filip Rudzinski (FUZZ-IEEE, 2018)

Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging Structures. - Marian B. Gorzalczany; Jakub Piekoszewski; Filip Rudzinski (ISIE, 2018)

A Knowledge Discovery from Full-Text Document Collections Using Clustering and Interpretable Genetic-Fuzzy Systems. - Filip Rudzinski (MISSI, 2018)

Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster Analysis. - Marian B. Gorzalczany; Filip Rudzinski (IEEE Trans. Neural Networks Learn. Syst., 2018)

Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic Approach. - Marian B. Gorzalczany; Filip Rudzinski (FUZZ-IEEE, 2019)

Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures. - Marian B. Gorzalczany; Jakub Piekoszewski; Filip Rudzinski (SSCI, 2019)

Evolution of SOMs' Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data. - Marian B. Gorzalczany; Filip Rudzinski (Algorithms, 2020)

Intrusion Detection in Internet of Things With MQTT Protocol - An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution. - Marian B. Gorzalczany; Filip Rudzinski (IEEE Internet Things J., 2022)