Prof. Ireneusz Czarnowski
Employment
- Professor at Gdynia maritime University
Publications
Filters
total: 70
Catalog Publications
Year 1999
Year 2000
Year 2001
Year 2006
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JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms
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An agent-based approach to ANN training
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Year 2008
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Web Accessible A-Team Middleware
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Data Reduction Algorithm for Machine Learning and Data Mining
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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A Framework for Adaptive and Integrated Classification
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Year 2009
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e-JABAT – An Implementation of the Web-Based A-Team
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Distributed Data Reduction through Agent Collaboration
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A-Team Middleware on a Cluster
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Agent-Based Non-distributed and Distributed Clustering
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A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
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Year 2010
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Prototype selection algorithms for distributed learning
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JABAT Middleware as a Tool for Solving Optimization Problems
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Influence of the Working Strategy on A-Team Performance
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Implementation and performance evaluation of the agent-based algorithm for ANN training
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Cluster Integration for the Cluster-Based Instance Selection
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An A-Team approach to learning classifiers from distributed data sources
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An Approach to Data Reduction and Integrated Machine Classification
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An Agent-Based Simulated Annealing Algorithm for Data Reduction
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Year 2011
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POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS
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Parallel Cooperating A-Teams
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Distributed Learning with Data Reduction
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Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem
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An agent-based framework for distributed learning
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A New Cluster-based Instance Selection Algorithm
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A consensus-based approach to the distributed learning
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Year 2012
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SELECTING A REPRESENTATIVE DATA SET OF THE REQUIRED SIZE USING THE AGENT-BASED POPULATION LEARNING ALGORITHM
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Cluster-based instance selection for machine classification
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Agent-Based Approach to RBF Network Training with Floating Centroids
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Year 2013
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Consensus-based cluster merging for the prototype selection
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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Agent-Based Data Reduction Using Ensemble Technique
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AGENT-BASED APPROACH TO THE DESIGN OF RBF NETWORKS
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Year 2014
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Preface
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Online Learning Based on Prototypes
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Ensemble Classifier for Mining Data Streams
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Designing RBF Networks Using the Agent-Based Population Learning Algorithm
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Year 2015
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Preface
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Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams
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Cluster-dependent rotation-based feature selection for the RBF networks initialization
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Cluster-Dependent Feature Selection for the RBF Networks
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An Experimental Study of Scenarios for the Agent-Based RBF Network Design
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An Approach to RBF Initialization with Feature Selection
Publication
Year 2016
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