Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors. - Piotr Jedrzejowicz; Ireneusz Czarnowski; Henryk Szreder; Aleksander Skakovski (IPPS/SPDP Workshops, 1999)

Scheduling Fault-Tolerant Programs on Multiple Processors to Maximize Schedule Reliability. - Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak (SAFECOMP, 1999)

Artifical Neural Network for Multiprocessor Tasks Scheduling. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Intelligent Information Systems, 2000)

Evolution-based scheduling of multiple variant and multiple processor programs. - Piotr Jedrzejowicz; Ireneusz Czarnowski; Aleksander Skakovski; Henryk Szreder (Future Gener. Comput. Syst., 2001)

An Instance Reduction Algorithm for Supervised Learning. - Ireneusz Czarnowski; Piotr Jedrzejowicz (IIS, 2003)

An Approach to Instance Reduction in Supervised Learning. - Ireneusz Czarnowski; Piotr Jedrzejowicz (SGAI Conf., 2003)

Probability Distribution of Solution Time in ANN Training Using Population Learning Algorithm. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICAISC, 2004)

An Agent-Based PLA for the Cascade Correlation Learning Architecture. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICANN (2), 2005)

Family of Instance Reduction Algorithms Versus Other Approaches. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Intelligent Information Systems, 2005)

JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak; Izabela Wierzbowska (ISDA (3), 2006)

An Agent-Based Approach to Non-Distributed and Distributed Clustering. - Ireneusz Czarnowski; Piotr Jedrzejowicz (SGAI Conf., 2006)

An agent-based approach to ANN training. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Knowl. Based Syst., 2006)

Instance reduction approach to machine learning and multi-database mining. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Ann. UMCS Informatica, 2006)

An Agent-Based Approach to the Multiple-Objective Selection of Reference Vectors. - Ireneusz Czarnowski; Piotr Jedrzejowicz (MLDM, 2007)

An Agent-Based Algorithm for Data Reduction. - Ireneusz Czarnowski; Piotr Jedrzejowicz (SGAI Conf., 2007)

A Framework for Adaptive and Integrated Classification. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICAISC, 2008)

Web Accessible A-Team Middleware. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (ICCS (3), 2008)

Data Reduction Algorithm for Machine Learning and Data Mining. - Ireneusz Czarnowski; Piotr Jedrzejowicz (IEA/AIE, 2008)

Distributed Learning Algorithm based on Data Reduction. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICAART, 2009)

A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICANNGA, 2009)

Distributed Data Reduction through Agent Collaboration. - Ireneusz Czarnowski (KES-AMSTA, 2009)

A-Team Middleware on a Cluster. - Ireneusz Czarnowski; Piotr Jedrzejowicz; Izabela Wierzbowska (KES-AMSTA, 2009)

Agent-Based Non-distributed and Distributed Clustering. - Ireneusz Czarnowski; Piotr Jedrzejowicz (MLDM, 2009)

e-JABAT - An Implementation of the Web-Based A-Team. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (Intelligent Agents in the Evolution of Web and Applications, 2009)

Cluster Integration for the Cluster-Based Instance Selection. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (1), 2010)

An Agent-Based Simulated Annealing Algorithm for Data Reduction. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES-AMSTA (2), 2010)

An A-Team approach to learning classifiers from distributed data sources. - Ireneusz Czarnowski; Piotr Jedrzejowicz; Izabela Wierzbowska (Int. J. Intell. Inf. Database Syst., 2010)

Implementation and performance evaluation of the agent-based algorithm for ANN training. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Int. J. Knowl. Based Intell. Eng. Syst., 2010)

An Approach to Data Reduction and Integrated Machine Classification. - Ireneusz Czarnowski; Piotr Jedrzejowicz (New Gener. Comput., 2010)

Prototype selection algorithms for distributed learning. - Ireneusz Czarnowski (Pattern Recognit., 2010)

JABAT Middleware as a Tool for Solving Optimization Problems. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (Trans. Comput. Collect. Intell., 2010)

Influence of the Working Strategy on A-Team Performance. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (Smart Information and Knowledge Management, 2010)

Parallel Cooperating A-Teams. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (ICCCI (2), 2011)

Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (2), 2011)

A New Cluster-based Instance Selection Algorithm. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES-AMSTA, 2011)

A consensus-based approach to the distributed learning. - Ireneusz Czarnowski; Piotr Jedrzejowicz (SMC, 2011)

Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Int. J. Appl. Math. Comput. Sci., 2011)

Population-Based Multi-Agent Approach to Solving Machine Learning Problems. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Cybern. Syst., 2011)

An agent-based framework for distributed learning. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Eng. Appl. Artif. Intell., 2011)

Distributed Learning with Data Reduction. - Ireneusz Czarnowski (Trans. Comput. Collect. Intell., 2011)

Agent-Based Approach to RBF Network Training with Floating Centroids. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (2), 2012)

An Approach to Cluster Initialization for RBF Networks. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES, 2012)

Selecting a Representative Data Set of the Required Size Using the Agent-Based Population Learning Algorithm. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Cybern. Syst., 2012)

Cluster-based instance selection for machine classification. - Ireneusz Czarnowski (Knowl. Inf. Syst., 2012)

Consensus-based cluster merging for the prototype selection. - Ireneusz Czarnowski; Piotr Jedrzejowicz (CYBCONF, 2013)

Agent-Based Population Learning Algorithm for RBF Network Tuning. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICAISC (1), 2013)

Agent-Based Data Reduction Using Ensemble Technique. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI, 2013)

Agent-Based Approach to the Design of RBF Networks. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Cybern. Syst., 2013)

Team of A-Teams - A Study of the Cooperation between Program Agents Solving Difficult Optimization Problems. - Dariusz Barbucha; Ireneusz Czarnowski; Piotr Jedrzejowicz; Ewa Ratajczak-Ropel; Izabela Wierzbowska (Agent-Based Optimization, 2013)

Machine Learning and Multiagent Systems as Interrelated Technologies. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Agent-Based Optimization, 2013)

Online Learning Based on Prototypes. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ACIIDS (2), 2014)

An Approach to RBF Initialization with Feature Selection. - Ireneusz Czarnowski; Piotr Jedrzejowicz (IEEE Conf. on Intelligent Systems (1), 2014)

Ensemble Classifier for Mining Data Streams. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES, 2014)

Designing RBF Networks Using the Agent-Based Population Learning Algorithm. - Ireneusz Czarnowski; Piotr Jedrzejowicz (New Gener. Comput., 2014)

Cluster-dependent rotation-based feature selection for the RBF networks initialization. - Ireneusz Czarnowski; Piotr Jedrzejowicz (CYBCONF, 2015)

Preface. - Piotr Jedrzejowicz; Ngoc Thanh Nguyen 001; Tzung-Pei Hong; Ireneusz Czarnowski (CYBCONF, 2015)

Cluster-Dependent Feature Selection for the RBF Networks. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (2), 2015)

An Experimental Study of Scenarios for the Agent-Based RBF Network Design. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES-IDT, 2015)

Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Cybern. Syst., 2015)

Bi-criteria Data Reduction for Instance-Based Classification. - Ireneusz Czarnowski; Joanna Jedrzejowicz; Piotr Jedrzejowicz (ICCCI (1), 2016)

Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES-IDT (1), 2016)

An approach to machine classification based on stacked generalization and instance selection. - Ireneusz Czarnowski; Piotr Jedrzejowicz (SMC, 2016)

Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Cybern. Syst., 2016)

Computational Intelligence Tools for Processing Collective Data. - Ngoc Thanh Nguyen 001; Ireneusz Czarnowski; Dosam Hwang (J. Univers. Comput. Sci., 2016)

Stacking and rotation-based technique for machine learning classification with data reduction. - Ireneusz Czarnowski; Piotr Jedrzejowicz (INISTA, 2017)

Preface. - Piotr Jedrzejowicz; Tulay Yildirim; Ireneusz Czarnowski (INISTA, 2017)

Stacking-Based Integrated Machine Learning with Data Reduction. - Ireneusz Czarnowski; Piotr Jedrzejowicz (KES-IDT (1), 2017)

Learning from examples with data reduction and stacked generalization. - Ireneusz Czarnowski; Piotr Jedrzejowicz (J. Intell. Fuzzy Syst., 2017)

Cluster-Based Instance Selection for the Imbalanced Data Classification. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (2), 2018)

Firefly Algorithm for the RBF Network Design. - Ireneusz Czarnowski; Piotr Jedrzejowicz (INISTA, 2018)

An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques. - Ireneusz Czarnowski; Piotr Jedrzejowicz (Complex., 2018)

Overcoming "Big Data" Barriers in Machine Learning Techniques for the Real-Life Applications. - Ireneusz Czarnowski; Piotr Jedrzejowicz; Kuo-Ming Chao; Tülay Yildirim (Complex., 2018)

An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling. - Ireneusz Czarnowski; Piotr Jedrzejowicz (ICCCI (1), 2019)

Data reduction and stacking for imbalanced data classification. - Ireneusz Czarnowski; Piotr Jedrzejowicz (J. Intell. Fuzzy Syst., 2019)

A Novel Framework for Decision Support System in Human Resource Management. - Ireneusz Czarnowski; Piotr Pszczólkowski (KES, 2020)

Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection. - Ireneusz Czarnowski (ICCS (3), 2021)

Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm. - Ireneusz Czarnowski (ICCCI, 2021)

Firefly algorithm for instance selection. - Ireneusz Czarnowski (KES, 2021)

DBSCAN algorithm for AIS data reconstruction. - Marta Mieczynska; Ireneusz Czarnowski (KES, 2021)

Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering. - Marta Mieczynska; Ireneusz Czarnowski (KES-IDT, 2021)

Supervised Classification Problems-Taxonomy of Dimensions and Notation for Problems Identification. - Ireneusz Czarnowski; Piotr Jedrzejowicz (IEEE Access, 2021)

Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms. - Ireneusz Czarnowski; Joanna Jedrzejowicz; Piotr Jedrzejowicz (IEEE Access, 2021)

Impact of Distance Measures on the Performance of AIS Data Clustering. - Marta Mieczynska; Ireneusz Czarnowski (Comput. Syst. Sci. Eng., 2021)

Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification. - Ireneusz Czarnowski; Denis Mayr Lima Martins (ICCS (1), 2022)

A framework for the clustering and categorization of CISA reports. - Ireneusz Czarnowski (KES, 2022)

Application of Analytic Hierarchy Process in Selecting a State-Made Electronic Documentation Management System for Polish Municipalities. - Oskar Sek; Ireneusz Czarnowski (KES, 2022)

Using the AHP Method to Select an Electronic Documentation Management System for Polish Municipalities. - Oskar Sek; Ireneusz Czarnowski (KES-IDT, 2022)

Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform. - Marta Szarmach; Ireneusz Czarnowski (IEEE Access, 2022)

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

Decision Tree-Based Algorithms for Detection of Damage in AIS Data. - Marta Szarmach; Ireneusz Czarnowski (ICCS (3), 2023)

Learning from Imbalanced Data Streams Using Rotation-Based Ensemble Classifiers. - Ireneusz Czarnowski (ICCCI, 2023)

Agent-based population learning algorithm for over-sampling in the classification of imbalanced data streams. - Ireneusz Czarnowski (KES, 2023)

An application for collecting and mining reports referring vulnerabilities and exposures in physical systems: A comparative study of selected clustering methods. - Krzysztof Sadowski; Pawel Wolski; Ireneusz Czarnowski (KES, 2023)

Decision-Making Model for Updating Geographical Information Systems for Polish Municipalities Using the Fuzzy TOPSIS Method. - Oskar Sek; Ireneusz Czarnowski (KES-IDT, 2023)

Reward-Based Hybrid Genetic Algorithm for Solving the Class Scheduling Problem. - Kamil Pieper; Bartosz Roczniok; Ireneusz Czarnowski (ICCCI (1), 2024)

An implementation of the YOLO algorithm for the recognition of flags of the International Code of Signals. - Jakub Krajewski; Ireneusz Czarnowski (KES, 2024)

VAR vs XGBoost: Performance of both models in AIS data reconstruction. - Marta Szarmach; Ireneusz Czarnowski (KES, 2024)

Convergence Analysis of the Population Learning Algorithm. - Ireneusz Czarnowski (KES-IDT, 2024)

A framework for damage detection in AIS data based on clustering and multi-label classification. - Marta Szarmach; Ireneusz Czarnowski (J. Comput. Sci., 2024)

Smart Factory Humanoid Robots with Cognitive Architectures for Human-Inspired Tasks. - Maciej Majewski; Ireneusz Czarnowski (EUROCON, 2025)