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Prof. Ireneusz Czarnowski
Employment
- Professor at Gdynia maritime University
Publications
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total: 70
Catalog Publications
Year 2022
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Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Using the AHP Method to Select an Electronic Documentation Management System for Polish Municipalities
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Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams
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Year 2021
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Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms
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Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering
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K-means clustering for SAT-AIS data analysis
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Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection
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Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
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Supervised Classification Problems–Taxonomy of Dimensions and Notation for Problems Identification
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Year 2020
Year 2019
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An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
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Data reduction and stacking for imbalanced data classification
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Year 2018
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An Approach to Data Reduction for Learning from Big Datasets: Integrating Stacking, Rotation, and Agent Population Learning Techniques
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Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
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Stacking-Based Integrated Machine Learning with Data Reduction
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Year 2017
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Learning from examples with data reduction and stacked generalization
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Preface
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Stacking and rotation-based technique for machine learning classification with data reduction
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Year 2016
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Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space
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An approach to machine classification based on stacked generalization and instance selection
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Bi-criteria Data Reduction for Instance-Based Classification
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Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization
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Year 2015
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An Approach to RBF Initialization with Feature Selection
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An Experimental Study of Scenarios for the Agent-Based RBF Network Design
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Cluster-Dependent Feature Selection for the RBF Networks
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Cluster-dependent rotation-based feature selection for the RBF networks initialization
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Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams
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Preface
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Year 2014
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Designing RBF Networks Using the Agent-Based Population Learning Algorithm
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Ensemble Classifier for Mining Data Streams
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Online Learning Based on Prototypes
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Preface
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Year 2013
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AGENT-BASED APPROACH TO THE DESIGN OF RBF NETWORKS
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Agent-Based Data Reduction Using Ensemble Technique
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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Consensus-based cluster merging for the prototype selection
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Year 2012
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Agent-Based Approach to RBF Network Training with Floating Centroids
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Cluster-based instance selection for machine classification
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SELECTING A REPRESENTATIVE DATA SET OF THE REQUIRED SIZE USING THE AGENT-BASED POPULATION LEARNING ALGORITHM
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Year 2011
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A consensus-based approach to the distributed learning
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A New Cluster-based Instance Selection Algorithm
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An agent-based framework for distributed learning
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Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem
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Distributed Learning with Data Reduction
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Parallel Cooperating A-Teams
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POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS
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Year 2010
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