Marian B. Gorzalczany

发表

A multi-objective genetic optimization for fast, fuzzy rule-based credit classification with balanced accuracy and interpretability

Marian B. Gorzalczany, Filip Rudzinski, M. Gorzałczany, 2016, Appl. Soft Comput..

Modified Kohonen Networks for Complex Cluster-Analysis Problems

Marian B. Gorzalczany, Filip Rudzinski, 2004, ICAISC.

Neuro-fuzzy Approach versus Rough-Set Inspired Methodology for Intelligent Decision Support

Marian B. Gorzalczany, Zdzislaw Piasta, M. Gorzałczany, 1999, Inf. Sci..

A multi-objective-genetic-optimization-based data-driven fuzzy classifier for technical applications

Marian B. Gorzalczany, Filip Rudzinski, 2016, 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE).

Interpretable and accurate medical data classification - a multi-objective genetic-fuzzy optimization approach

Marian B. Gorzalczany, Filip Rudzinski, M. Gorzałczany, 2017, Expert Syst. Appl..

On stability of formal fuzziness systems

Marian B. Gorzalczany, J. B. Kiszka, Aleksander A. Kania, 1980, Inf. Sci..

Time-series-dynamics Modeling and Forecasting - An Accurate and Interpretable Genetic-Fuzzy Approach

Marian B. Gorzalczany, Filip Rudzinski, 2017, EUSFLAT/IWIFSGN.

Gene expression data clustering using tree-like SOMs with evolving splitting-merging structures

Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Neuro-Fuzzy Systems for Rule-BAsed Modelling of Dynamic Processes

Marian B. Gorzalczany, Adam Gluszek, M. Gorzałczany, 2002, Advances in Computational Intelligence and Learning.

Generalized Tree-Like Self-Organizing Neural Networks with Dynamically Defined Neighborhood for Cluster Analysis

Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski, 2014, ICAISC.

An improved multi-objective evolutionary optimization of data-mining-based fuzzy decision support systems

Marian B. Gorzalczany, Filip Rudzinski, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Computational-Intelligence-Based Approach to Decision Support

Marian B. Gorzalczany, M. Gorzałczany, 2000 .

Classification of Splice-Junction DNA Sequences Using Multi-objective Genetic-Fuzzy Optimization Techniques

Marian B. Gorzalczany, Filip Rudzinski, M. Gorzałczany, 2017, ICAISC.

Gene-Promoter-Sequence Recognition – an Interpretable and Accurate Fuzzy-Genetic Approach

Marian B. Gorzalczany, Filip Rudzinski, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neuro-fuzzy networks in time series modelling

Marian B. Gorzalczany, Adam Gluszek, 2000, KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516).

Electricity Consumption Data Clustering for Load Profiling Using Generalized Self-Organizing Neural Networks with Evolving Splitting-Merging Structures

Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski, 2018, 2018 IEEE 27th International Symposium on Industrial Electronics (ISIE).

WWW-Newsgroup-Document Clustering by Means of Dynamic Self-organizing Neural Networks

Marian B. Gorzalczany, Filip Rudzinski, 2008, ICAISC.

Generalized SOMs with Splitting-Merging Tree-Like Structures for WWW-Document Clustering

Marian B. Gorzalczany, Filip Rudzinski, Jakub Piekoszewski, 2015, IFSA-EUSFLAT.

UniProt protein sequence data classification using genetically-optimized fuzzy rule-based systems

Marian B. Gorzalczany, Filip Rudzinski, 2017, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS).

Genetic Fuzzy Rule-Based Modelling of Dynamic Systems Using Time Series

Marian B. Gorzalczany, Filip Rudzinski, 2012, ICAISC.

Heart-disease diagnosis decision support employing fuzzy systems with genetically optimized accuracy-interpretability trade-off

Marian B. Gorzalczany, Filip Rudzinski, M. Gorzałczany, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Combination of neural networks and fuzzy sets as a basis for medical expert systems

Marian B. Gorzalczany, Mary McLeish, M. Gorzałczany, 1992, [1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems.

A Modified Pittsburg Approach to Design a Genetic Fuzzy Rule-Based Classifier from Data

Marian B. Gorzalczany, Filip Rudzinski, 2010, ICAISC.

Cluster Analysis Via Dynamic Self-organizing Neural Networks

Marian B. Gorzalczany, Filip Rudzinski, 2006, ICAISC.

On Some Idea of a Neuro-fuzzy Controller

Marian B. Gorzalczany, 1999, Inf. Sci..