Ireneusz Czarnowski

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 40

Top Topics

Imbalanced Data

Instance Selection

Firefly Algorithm

Top Venues

Publications

Marta Szarmach, Ireneusz Czarnowski
A framework for damage detection in AIS data based on clustering and multi-label classification. J. Comput. Sci. 76 (2024)
Marta Szarmach, Ireneusz Czarnowski
Decision Tree-Based Algorithms for Detection of Damage in AIS Data. ICCS (3) (2023)
Krzysztof Sadowski, Pawel Wolski, Ireneusz Czarnowski
An application for collecting and mining reports referring vulnerabilities and exposures in physical systems: A comparative study of selected clustering methods. KES (2023)
Ireneusz Czarnowski
Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers. ICCCI (2023)
Ireneusz Czarnowski
Agent-based population learning algorithm for over-sampling in the classification of imbalanced data streams. KES (2023)
Marta Szarmach, Ireneusz Czarnowski
Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform. IEEE Access 10 (2022)
Oskar Sek, Ireneusz Czarnowski
Using the AHP Method to Select an Electronic Documentation Management System for Polish Municipalities. KES-IDT (2022)
Ireneusz Czarnowski
A framework for the clustering and categorization of CISA reports. KES (2022)
Oskar Sek, Ireneusz Czarnowski
Application of Analytic Hierarchy Process in Selecting a State-Made Electronic Documentation Management System for Polish Municipalities. KES (2022)
Ireneusz Czarnowski
Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams. J. Comput. Sci. 61 (2022)
Ireneusz Czarnowski, Denis Mayr Lima Martins
Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification. ICCS (1) (2022)
Marta Mieczynska, Ireneusz Czarnowski
DBSCAN algorithm for AIS data reconstruction. KES (2021)
Ireneusz Czarnowski
Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection. ICCS (3) (2021)
Ireneusz Czarnowski
Firefly algorithm for instance selection. KES (2021)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Supervised Classification Problems-Taxonomy of Dimensions and Notation for Problems Identification. IEEE Access 9 (2021)
Ireneusz Czarnowski, Joanna Jedrzejowicz, Piotr Jedrzejowicz
Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms. IEEE Access 9 (2021)
Ireneusz Czarnowski
Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm. ICCCI (2021)
Marta Mieczynska, Ireneusz Czarnowski
Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering. KES-IDT (2021)
Marta Mieczynska, Ireneusz Czarnowski
Impact of Distance Measures on the Performance of AIS Data Clustering. Comput. Syst. Sci. Eng. 36 (1) (2021)
Ireneusz Czarnowski, Piotr Pszczólkowski
A Novel Framework for Decision Support System in Human Resource Management. KES (2020)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling. ICCCI (1) (2019)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Data reduction and stacking for imbalanced data classification. J. Intell. Fuzzy Syst. 37 (6) (2019)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Firefly Algorithm for the RBF Network Design. INISTA (2018)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Cluster-Based Instance Selection for the Imbalanced Data Classification. ICCCI (2) (2018)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques. Complex. 2018 (2018)
Ireneusz Czarnowski, Piotr Jedrzejowicz, Kuo-Ming Chao, Tülay Yildirim
Overcoming "Big Data" Barriers in Machine Learning Techniques for the Real-Life Applications. Complex. 2018 (2018)
Piotr Jedrzejowicz, Tulay Yildirim, Ireneusz Czarnowski
Preface. INISTA (2017)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Learning from examples with data reduction and stacked generalization. J. Intell. Fuzzy Syst. 32 (2) (2017)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Stacking-Based Integrated Machine Learning with Data Reduction. KES-IDT (1) (2017)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Stacking and rotation-based technique for machine learning classification with data reduction. INISTA (2017)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization. KES-IDT (1) (2016)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space. Cybern. Syst. 47 (1-2) (2016)
Ngoc Thanh Nguyen, Ireneusz Czarnowski, Dosam Hwang
Computational Intelligence Tools for Processing Collective Data. J. Univers. Comput. Sci. 22 (6) (2016)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An approach to machine classification based on stacked generalization and instance selection. SMC (2016)
Ireneusz Czarnowski, Joanna Jedrzejowicz, Piotr Jedrzejowicz
Bi-criteria Data Reduction for Instance-Based Classification. ICCCI (1) (2016)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Experimental Study of Scenarios for the Agent-Based RBF Network Design. KES-IDT (2015)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams. Cybern. Syst. 46 (1-2) (2015)
Piotr Jedrzejowicz, Ngoc Thanh Nguyen, Tzung-Pei Hong, Ireneusz Czarnowski
Preface. CYBCONF (2015)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Cluster-Dependent Feature Selection for the RBF Networks. ICCCI (2) (2015)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Cluster-dependent rotation-based feature selection for the RBF networks initialization. CYBCONF (2015)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Ensemble Classifier for Mining Data Streams. KES (2014)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to RBF Initialization with Feature Selection. IEEE Conf. on Intelligent Systems (1) (2014)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Online Learning Based on Prototypes. ACIIDS (2) (2014)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Designing RBF Networks Using the Agent-Based Population Learning Algorithm. New Gener. Comput. 32 (3-4) (2014)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based Data Reduction Using Ensemble Technique. ICCCI (2013)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based Population Learning Algorithm for RBF Network Tuning. ICAISC (1) (2013)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based Approach to the Design of RBF Networks. Cybern. Syst. 44 (2-3) (2013)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Consensus-based cluster merging for the prototype selection. CYBCONF (2013)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based Approach to RBF Network Training with Floating Centroids. ICCCI (2) (2012)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to Cluster Initialization for RBF Networks. KES (2012)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Selecting a Representative Data Set of the Required Size Using the Agent-Based Population Learning Algorithm. Cybern. Syst. 43 (4) (2012)
Ireneusz Czarnowski
Cluster-based instance selection for machine classification. Knowl. Inf. Syst. 30 (1) (2012)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection. ICCCI (2) (2011)
Ireneusz Czarnowski, Piotr Jedrzejowicz
A consensus-based approach to the distributed learning. SMC (2011)
Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak-Ropel, Izabela Wierzbowska
Parallel Cooperating A-Teams. ICCCI (2) (2011)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem. Int. J. Appl. Math. Comput. Sci. 21 (1) (2011)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Population-Based Multi-Agent Approach to Solving Machine Learning Problems. Cybern. Syst. 42 (5) (2011)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An agent-based framework for distributed learning. Eng. Appl. Artif. Intell. 24 (1) (2011)
Ireneusz Czarnowski, Piotr Jedrzejowicz
A New Cluster-based Instance Selection Algorithm. KES-AMSTA (2011)
Ireneusz Czarnowski
Distributed Learning with Data Reduction. Trans. Comput. Collect. Intell. 4 (2011)
Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak-Ropel, Izabela Wierzbowska
JABAT Middleware as a Tool for Solving Optimization Problems. Trans. Comput. Collect. Intell. 2 (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz, Izabela Wierzbowska
An A-Team approach to learning classifiers from distributed data sources. Int. J. Intell. Inf. Database Syst. 4 (3) (2010)
Ireneusz Czarnowski
Prototype selection algorithms for distributed learning. Pattern Recognit. 43 (6) (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based Simulated Annealing Algorithm for Data Reduction. KES-AMSTA (2) (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Cluster Integration for the Cluster-Based Instance Selection. ICCCI (1) (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to Data Reduction and Integrated Machine Classification. New Gener. Comput. 28 (1) (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Implementation and performance evaluation of the agent-based algorithm for ANN training. Int. J. Knowl. Based Intell. Eng. Syst. 14 (1) (2010)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Agent-Based Non-distributed and Distributed Clustering. MLDM (2009)
Ireneusz Czarnowski, Piotr Jedrzejowicz
A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources. ICANNGA (2009)
Ireneusz Czarnowski, Piotr Jedrzejowicz, Izabela Wierzbowska
A-Team Middleware on a Cluster. KES-AMSTA (2009)
Ireneusz Czarnowski
Distributed Data Reduction through Agent Collaboration. KES-AMSTA (2009)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Distributed Learning Algorithm based on Data Reduction. ICAART (2009)
Ireneusz Czarnowski, Piotr Jedrzejowicz, Izabela Wierzbowska
An A-Team Approach to Learning Classifiers from Distributed Data Sources. KES-AMSTA (2008)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Data Reduction Algorithm for Machine Learning and Data Mining. IEA/AIE (2008)
Ireneusz Czarnowski, Piotr Jedrzejowicz
A Framework for Adaptive and Integrated Classification. ICAISC (2008)
Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak-Ropel, Izabela Wierzbowska
Web Accessible A-Team Middleware. ICCS (3) (2008)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Implementation and Performance Evaluation of the Agent-Based Algorithm for ANN Training. KES-AMSTA (2007)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based Algorithm for Data Reduction. SGAI Conf. (2007)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors. MLDM (2007)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Instance reduction approach to machine learning and multi-database mining. Ann. UMCS Informatica 4 (1) (2006)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based Approach to Non-Distributed and Distributed Clustering. SGAI Conf. (2006)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An agent-based approach to ANN training. Knowl. Based Syst. 19 (5) (2006)
Dariusz Barbucha, Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak, Izabela Wierzbowska
JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms. ISDA (3) (2006)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based Approach to ANN Training. SGAI Conf. (2005)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Agent-Based PLA for the Cascade Correlation Learning Architecture. ICANN (2) (2005)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Family of Instance Reduction Algorithms Versus Other Approaches. Intelligent Information Systems (2005)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Probability Distribution of Solution Time in ANN Training Using Population Learning Algorithm. ICAISC (2004)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Approach to Instance Reduction in Supervised Learning. SGAI Conf. (2003)
Ireneusz Czarnowski, Piotr Jedrzejowicz
An Instance Reduction Algorithm for Supervised Learning. IIS (2003)
Piotr Jedrzejowicz, Ireneusz Czarnowski, Aleksander Skakovski, Henryk Szreder
Evolution-based scheduling of multiple variant and multiple processor programs. Future Gener. Comput. Syst. 17 (4) (2001)
Ireneusz Czarnowski, Piotr Jedrzejowicz
Artifical Neural Network for Multiprocessor Tasks Scheduling. Intelligent Information Systems (2000)
Ireneusz Czarnowski, Piotr Jedrzejowicz, Ewa Ratajczak
Scheduling Fault-Tolerant Programs on Multiple Processors to Maximize Schedule Reliability. SAFECOMP (1999)
Piotr Jedrzejowicz, Ireneusz Czarnowski, Henryk Szreder, Aleksander Skakovski
Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors. IPPS/SPDP Workshops (1999)