Marian B. Gorzalczany

Orcid: 0000-0003-1174-3953

According to our database1, Marian B. Gorzalczany authored at least 33 papers between 1980 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2022
Intrusion Detection in Internet of Things With MQTT Protocol - An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution.
IEEE Internet Things J., 2022

2020
Evolution of SOMs' Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data.
Algorithms, 2020

2019
Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Gene-Promoter-Sequence Recognition - an Interpretable and Accurate Fuzzy-Genetic Approach.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2018

Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging Structures.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

ECG Time Series Classification via Genetic-Fuzzy Approach Based on Accuracy-Interpretability Trade-Off Optimization.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach.
Expert Syst. Appl., 2017

Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016
A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability.
Appl. Soft Comput., 2016

A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications.
Proceedings of the 25th IEEE International Symposium on Industrial Electronics, 2016

Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2012
Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series.
Proceedings of the Swarm and Evolutionary Computation, 2012

Accuracy vs. Interpretability of Fuzzy Rule-Based Classifiers: An Evolutionary Approach.
Proceedings of the Swarm and Evolutionary Computation, 2012

2010
A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2008
WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2006
Cluster Analysis Via Dynamic Self-organizing Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2004
Modified Kohonen Networks for Complex Cluster-Analysis Problems.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Application of Genetic Algorithms and Kohonen Networks to Cluster Analysis.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2002
Computational Intelligence Systems and Applications - Neuro-Fuzzy and Fuzzy Neural Synergisms
Studies in Fuzziness and Soft Computing 86, Springer, ISBN: 978-3-662-00334-3, 2002

Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic Processes.
Proceedings of the Advances in Computational Intelligence and Learning: Methods and Applications, 2002

2000
Neuro-fuzzy networks in time series modelling.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999
Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision Support.
Inf. Sci., 1999

On Some Idea of a Neuro-fuzzy Controller.
Inf. Sci., 1999

1992
Combination of neural networks and fuzzy sets as a basis for medical expert systems.
Proceedings of the Fifth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'92), 1992

1980
On stability of formal fuzziness systems.
Inf. Sci., 1980


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