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:
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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
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
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2004
Proceedings of the Artificial Intelligence and Soft Computing, 2004
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
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
1992
Proceedings of the Fifth Annual IEEE Symposium on Computer-Based Medical Systems (CBMS'92), 1992
1980