Ireneusz Czarnowski

Orcid: 0000-0003-0867-3114

According to our database1, Ireneusz Czarnowski authored at least 93 papers between 1999 and 2023.

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

Timeline

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Bibliography

2023
An application for collecting and mining reports referring vulnerabilities and exposures in physical systems: A comparative study of selected clustering methods.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Agent-based population learning algorithm for over-sampling in the classification of imbalanced data streams.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

Decision Tree-Based Algorithms for Detection of Damage in AIS Data.
Proceedings of the Computational Science - ICCS 2023, 2023

2022
Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams.
J. Comput. Sci., 2022

Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform.
IEEE Access, 2022

Using the AHP Method to Select an Electronic Documentation Management System for Polish Municipalities.
Proceedings of the Intelligent Decision Technologies, 2022

Application of Analytic Hierarchy Process in Selecting a State-Made Electronic Documentation Management System for Polish Municipalities.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

A framework for the clustering and categorization of CISA reports.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Impact of Distance Measures on the Performance of AIS Data Clustering.
Comput. Syst. Sci. Eng., 2021

Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms.
IEEE Access, 2021

Supervised Classification Problems-Taxonomy of Dimensions and Notation for Problems Identification.
IEEE Access, 2021

Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering.
Proceedings of the Intelligent Decision Technologies, 2021

DBSCAN algorithm for AIS data reconstruction.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Firefly algorithm for instance selection.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm.
Proceedings of the Computational Collective Intelligence - 13th International Conference, 2021

Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection.
Proceedings of the Computational Science - ICCS 2021, 2021

2020
A Novel Framework for Decision Support System in Human Resource Management.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

2019
Data reduction and stacking for imbalanced data classification.
J. Intell. Fuzzy Syst., 2019

An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018
Overcoming "Big Data" Barriers in Machine Learning Techniques for the Real-Life Applications.
Complex., 2018

An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques.
Complex., 2018

Firefly Algorithm for the RBF Network Design.
Proceedings of the 2018 Innovations in Intelligent Systems and Applications, 2018

Cluster-Based Instance Selection for the Imbalanced Data Classification.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

2017
Learning from examples with data reduction and stacked generalization.
J. Intell. Fuzzy Syst., 2017

Stacking-Based Integrated Machine Learning with Data Reduction.
Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

Preface.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

Stacking and rotation-based technique for machine learning classification with data reduction.
Proceedings of the IEEE International Conference on INnovations in Intelligent SysTems and Applications, 2017

2016
Computational Intelligence Tools for Processing Collective Data.
J. Univers. Comput. Sci., 2016

Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space.
Cybern. Syst., 2016

An approach to machine classification based on stacked generalization and instance selection.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization.
Proceedings of the Intelligent Decision Technologies 2016 - Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016), 2016

Bi-criteria Data Reduction for Instance-Based Classification.
Proceedings of the Computational Collective Intelligence - 8th International Conference, 2016

2015
Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams.
Cybern. Syst., 2015

An Experimental Study of Scenarios for the Agent-Based RBF Network Design.
Proceedings of the Intelligent Decision Technologies, 2015

Cluster-Dependent Feature Selection for the RBF Networks.
Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

Preface.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

Cluster-dependent rotation-based feature selection for the RBF networks initialization.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
Designing RBF Networks Using the Agent-Based Population Learning Algorithm.
New Gener. Comput., 2014

Ensemble Classifier for Mining Data Streams.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

An Approach to RBF Initialization with Feature Selection.
Proceedings of the Intelligent Systems'2014, 2014

Online Learning Based on Prototypes.
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

2013
Machine Learning and Multiagent Systems as Interrelated Technologies.
Proceedings of the Agent-Based Optimization, 2013

Team of A-Teams - A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems.
Proceedings of the Agent-Based Optimization, 2013

Agent-Based Approach to the Design of RBF Networks.
Cybern. Syst., 2013

Agent-Based Data Reduction Using Ensemble Technique.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2013

Agent-Based Population Learning Algorithm for RBF Network Tuning.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

Consensus-based cluster merging for the prototype selection.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012
Cluster-based instance selection for machine classification.
Knowl. Inf. Syst., 2012

Selecting a Representative Data Set of the Required Size Using the Agent-Based Population Learning Algorithm.
Cybern. Syst., 2012

An Approach to Cluster Initialization for RBF Networks.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012

Agent-Based Approach to RBF Network Training with Floating Centroids.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011
Distributed Learning with Data Reduction.
Trans. Comput. Collect. Intell., 2011

An agent-based framework for distributed learning.
Eng. Appl. Artif. Intell., 2011

Population-Based Multi-Agent Approach to Solving Machine Learning Problems.
Cybern. Syst., 2011

Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem.
Int. J. Appl. Math. Comput. Sci., 2011

A consensus-based approach to the distributed learning.
Proceedings of the IEEE International Conference on Systems, 2011

A New Cluster-based Instance Selection Algorithm.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2011

Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Parallel Cooperating A-Teams.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

2010
Influence of the Working Strategy on A-Team Performance.
Proceedings of the Smart Information and Knowledge Management: Advances, 2010

JABAT Middleware as a Tool for Solving Optimization Problems.
Trans. Comput. Collect. Intell., 2010

Prototype selection algorithms for distributed learning.
Pattern Recognit., 2010

An Approach to Data Reduction and Integrated Machine Classification.
New Gener. Comput., 2010

Implementation and performance evaluation of the agent-based algorithm for ANN training.
Int. J. Knowl. Based Intell. Eng. Syst., 2010

An A-Team approach to learning classifiers from distributed data sources.
Int. J. Intell. Inf. Database Syst., 2010

An Agent-Based Simulated Annealing Algorithm for Data Reduction.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2010

Cluster Integration for the Cluster-Based Instance Selection.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2010

2009
e-JABAT - An Implementation of the Web-Based A-Team.
Proceedings of the Intelligent Agents in the Evolution of Web and Applications, 2009

Agent-Based Non-distributed and Distributed Clustering.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

A-Team Middleware on a Cluster.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2009

Distributed Data Reduction through Agent Collaboration.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2009

A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Distributed Learning Algorithm based on Data Reduction.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009

2008
Data Reduction Algorithm for Machine Learning and Data Mining.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

Web Accessible A-Team Middleware.
Proceedings of the Computational Science, 2008

A Framework for Adaptive and Integrated Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
An Agent-Based Algorithm for Data Reduction.
Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2006
Instance reduction approach to machine learning and multi-database mining.
Ann. UMCS Informatica, 2006

An agent-based approach to ANN training.
Knowl. Based Syst., 2006

An Agent-Based Approach to Non-Distributed and Distributed Clustering.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms.
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

2005
Family of Instance Reduction Algorithms Versus Other Approaches.
Proceedings of the Intelligent Information Processing and Web Mining, 2005

An Agent-Based PLA for the Cascade Correlation Learning Architecture.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Probability Distribution of Solution Time in ANN Training Using Population Learning Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
An Approach to Instance Reduction in Supervised Learning.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

An Instance Reduction Algorithm for Supervised Learning.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

2001
Evolution-based scheduling of multiple variant and multiple processor programs.
Future Gener. Comput. Syst., 2001

2000
Artifical Neural Network for Multiprocessor Tasks Scheduling.
Proceedings of the Intelligent Information Systems, 2000

1999
Scheduling Fault-Tolerant Programs on Multiple Processors to Maximize Schedule Reliability.
Proceedings of the Computer Safety, 1999

Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors.
Proceedings of the Parallel and Distributed Processing, 1999


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