Prof. Ireneusz Czarnowski
Zatrudnienie
- Profesor UMG w Uniwersytet Morski w Gdyni
Publikacje
Filtry
wszystkich: 70
Katalog Publikacji
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Preface
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Consensus-based cluster merging for the prototype selection
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Preface
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Bi-criteria Data Reduction for Instance-Based Classification
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Preface
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Using the AHP Method to Select an Electronic Documentation Management System for Polish Municipalities
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Online Learning Based on Prototypes
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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-Dependent Feature Selection for the RBF Networks
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POPULATION-BASED MULTI-AGENT APPROACH TO SOLVING MACHINE LEARNING PROBLEMS
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An Experimental Study of Scenarios for the Agent-Based RBF Network Design
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Learning from Imbalanced Data Using Over-Sampling and the Firefly Algorithm
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Impact of the Time Window Length on the Ship Trajectory Reconstruction Based on AIS Data Clustering
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An A-Team Approach to Learning Classifiers from Distributed Data Sources
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An Agent-Based Simulated Annealing Algorithm for Data Reduction
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Stacking-Based Integrated Machine Learning with Data Reduction
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Agent-Based Population Learning Algorithm for RBF Network Tuning
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Implementation and performance evaluation of the agent-based algorithm for ANN training
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A Framework for Adaptive and Integrated Classification
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Cluster-dependent rotation-based feature selection for the RBF networks initialization
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Distributed Data Reduction through Agent Collaboration
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Agent-Based RBF Network Classifier with Feature Selection in a Kernel Space
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Multi-Label Classification for AIS Data Anomaly Detection Using Wavelet Transform
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Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection
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Artificial Neural Network for Multiprocessor Tasks Scheduling
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An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
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Impact of Clustering on a Synthetic Instance Generation in Imbalanced Data Streams Classification
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Stacking and rotation-based technique for machine learning classification with data reduction
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Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection
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A consensus-based approach to the distributed learning
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Web Accessible A-Team Middleware
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A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
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Supervised Classification Problems–Taxonomy of Dimensions and Notation for Problems Identification
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Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
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Agent-Based Approach to RBF Network Training with Floating Centroids
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An Approach to RBF Initialization with Feature Selection
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Agent-Based Data Reduction Using Ensemble Technique
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Evolution-based scheduling of fault-tolerant programs on multiple processors
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An A-Team approach to learning classifiers from distributed data sources
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Agent-Based Non-distributed and Distributed Clustering
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Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization
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A Novel Framework for Decision Support System in Human Resource Management
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Data reduction and stacking for imbalanced data classification
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Evolution-based scheduling of multiple variant and multiple processor programs
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Designing RBF Networks Using the Agent-Based Population Learning Algorithm
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Application of agent-based simulated annealing and tabu search procedures to solving the data reduction problem
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Learning from examples with data reduction and stacked generalization
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A New Cluster-based Instance Selection Algorithm
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Cluster Integration for the Cluster-Based Instance Selection
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An approach to machine classification based on stacked generalization and instance selection
Publikacja
wyświetlono 1161 razy