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Poland

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Employment (1)

Kielce University of Technology: Kielce, PL

2000-10-01 to present (Department of Electrical and Computer Engineering)
Employment
Source: Self-asserted source
Filip Rudziński

Works (39)

Energy Consumption Prediction in Residential Buildings—An Accurate and Interpretable Machine Learning Approach Combining Fuzzy Systems with Evolutionary Optimization

Energies
2024-07-01 | Journal article
Contributors: Marian B. Gorzałczany; Filip Rudziński
Source: check_circle
Crossref
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Preferred source (of 2)‎

Intrusion Detection in Internet of Things With MQTT Protocol—An Accurate and Interpretable Genetic-Fuzzy Rule-Based Solution

IEEE Internet of Things Journal
2022-12-15 | Journal article
Contributors: Marian B. Gorzalczany; Filip Rudzinski
Source: check_circle
Crossref

Business Intelligence in Airline Passenger Satisfaction Study—A Fuzzy-Genetic Approach with Optimized Interpretability-Accuracy Trade-Off

Applied Sciences
2021-05-31 | Journal article
Contributors: Marian B. Gorzałczany; Filip Rudziński; Jakub Piekoszewski
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A Modern Data-Mining Approach Based on Genetically Optimized Fuzzy Systems for Interpretable and Accurate Smart-Grid Stability Prediction

Energies
2020-05-18 | Journal article
Contributors: Marian B. Gorzałczany; Jakub Piekoszewski; Filip Rudziński
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Crossref
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Evolution of SOMs’ Structure and Learning Algorithm: From Visualization of High-Dimensional Data to Clustering of Complex Data

Algorithms
2020-04-28 | Journal article
Contributors: Marian B. Gorzałczany; Filip Rudziński
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Crossref
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A knowledge discovery from full-text document collections using clustering and interpretable genetic-fuzzy systems

Advances in Intelligent Systems and Computing
2019 | Book
EID:

2-s2.0-85053824460

Contributors: Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Gene-Promoter-Sequence Recognition - An Interpretable and Accurate Fuzzy-Genetic Approach

IEEE International Conference on Fuzzy Systems
2019 | Conference paper
EID:

2-s2.0-85073777459

Contributors: Gorzalczany, M.B.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Uncovering informative genes from colon cancer gene expression data via multi-step clustering based on generalized SOMs with splitting-merging structures

2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019
2019 | Conference paper
EID:

2-s2.0-85080957711

Contributors: Gorzalczany, M.B.; Piekoszewski, J.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

ECG time series classification via genetic-fuzzy approach based on accuracy-interpretability trade-off optimization

IEEE International Conference on Fuzzy Systems
2018 | Conference paper
EID:

2-s2.0-85060475366

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

IEEE International Symposium on Industrial Electronics
2018 | Conference paper
EID:

2-s2.0-85052368382

Contributors: Gorzalczany, M.B.; Piekoszewski, J.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Generalized self-organizing maps for automatic determination of the number of clusters and their multiprototypes in cluster analysis

IEEE Transactions on Neural Networks and Learning Systems
2018 | Journal article
EID:

2-s2.0-85020407631

Contributors: Gorzalczany, M.B.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings
2018 | Conference paper
EID:

2-s2.0-85046124875

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Time-series-dynamics modeling and forecasting – An accurate and interpretable genetic-fuzzy approach

Advances in Intelligent Systems and Computing
2018 | Book
EID:

2-s2.0-85029442007

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
EID:

2-s2.0-85020890743

Contributors: Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Classification of splice-junction dna sequences using multi-objective genetic-fuzzy optimization techniques

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | Book
EID:

2-s2.0-85020904790

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Face Recognition for Movie Character and Actor Discrimination Based on Similarity Scores

Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016
2017 | Conference paper
EID:

2-s2.0-85017315107

Contributors: Baran, R.; Rudzinski, F.; Zeja, A.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

Expert Systems with Applications
2017 | Journal article
EID:

2-s2.0-84997755146

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

2017 Joint 17th World Congress Of International Fuzzy Systems Association And 9th International Conference On Soft Computing And Intelligent Systems (ifsa-scis)
2017 | Book chapter | Author
SOURCE-WORK-ID:

5ebff6f3ad49b31ccec45df5

Contributors: Marian B. Gorzalczany; Filip Rudziński
Source: check_circle
National Information Processing Institute

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

Applied Soft Computing Journal
2016 | Journal article
EID:

2-s2.0-84955258864

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

A multi-objective genetic optimization of interpretability-oriented fuzzy rule-based classifiers

Applied Soft Computing Journal
2016 | Journal article
EID:

2-s2.0-84944790408

Contributors: Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

IEEE International Symposium on Industrial Electronics
2016 | Conference paper
EID:

2-s2.0-85001036895

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
2016 | Conference paper
EID:

2-s2.0-85006747538

Contributors: Gorzalczany, M.B.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

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

Proceedings of the International Joint Conference on Neural Networks
2016 | Conference paper
EID:

2-s2.0-85007148071

Contributors: Gorzałczany, M.B.; Rudziński, F.; Piekoszewski, J.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Finding Sets of Non-Dominated Solutions with High Spread and Well-Balanced Distribution using Generalized Strength Pareto Evolutionary Algorithm

Advances in Intelligent Systems Research
2015 | Journal article | Author
SOURCE-WORK-ID:

5e71435746e0fb0001c739ff

Contributors: Filip Rudziński
Source: check_circle
National Information Processing Institute

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

Advances in Intelligent Systems Research
2015 | Journal article | Author
SOURCE-WORK-ID:

5e71435746e0fb0001c739e4

Contributors: Jakub Piekoszewski; Marian B. Gorzalczany; Filip Rudziński
Source: check_circle
National Information Processing Institute

Handling fuzzy systems' accuracy-interpretability trade-off by means of multi-objective evolutionary optimization methods - Selected problems

Bulletin of the Polish Academy of Sciences: Technical Sciences
2015 | Journal article
EID:

2-s2.0-84951869329

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Microarray leukemia gene data clustering by means of generalized self-organizing neural networks with evolving tree-like structures

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2015 | Conference paper
EID:

2-s2.0-84958525767

Contributors: Gorzałczany, M.B.; Piekoszewski, J.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Generalized tree-like self-organizing neural networks with dynamically defined neighborhood for cluster analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
EID:

2-s2.0-84902603171

Contributors: Gorzałczany, M.B.; Piekoszewski, J.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

The maintenance costs estimation of electrical lines with the use of interpretability-oriented genetic fuzzy rule-based systems,Szacowanie kosztów utrzymania linii energetycznych z wykorzystaniem systemów regułowo-rozmytych zorientowanych na przejrzystość

Przeglad Elektrotechniczny
2013 | Journal article
EID:

2-s2.0-84883609757

Contributors: Rudziński, F.; Piekoszewski, J.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Accuracy vs. interpretability of fuzzy rule-based classifiers: An evolutionary approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
EID:

2-s2.0-84860650444

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Genetic fuzzy rule-based modelling of dynamic systems using time series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | Book
EID:

2-s2.0-84860664110

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

A modified Pittsburg approach to design a genetic fuzzy rule-based classifier from data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | Book
EID:

2-s2.0-77955398692

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

WWW-newsgroup-document clustering by means of dynamic self-organizing neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008 | Book
EID:

2-s2.0-48249123924

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Cluster analysis via dynamic self-organizing neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 | Book
EID:

2-s2.0-33746267206

Contributors: Gorzałczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

User profiling in WWW network

Proceedings of SPIE - The International Society for Optical Engineering
2005 | Conference paper
EID:

2-s2.0-25644444665

Contributors: Kekez, M.; Gluszek, A.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Using Kohonen networks for WWW document classification

Proceedings of SPIE - The International Society for Optical Engineering
2005 | Conference paper
EID:

2-s2.0-25644445413

Contributors: Rudziński, F.; Gluszek, A.; Kekez, M.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Web traffic prediction with artificial neural networks

Proceedings of SPIE - The International Society for Optical Engineering
2005 | Conference paper
EID:

2-s2.0-25644444664

Contributors: Gluszek, A.; Kekez, M.; Rudzinski, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Application of genetic algorithms and kohonen networks to cluster analysis

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2004 | Conference paper
EID:

2-s2.0-9444251178

Contributors: Gorzalczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier

Modified Kohonen networks for complex cluster-analysis problems

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
2004 | Conference paper
EID:

2-s2.0-9444271731

Contributors: Gorzalczany, M.B.; Rudziński, F.
Source: Self-asserted source
Filip Rudziński via Scopus - Elsevier