Wyszukiwarka
Prof. Ireneusz Czarnowski
Zatrudnienie
- Profesor UMG w Uniwersytet Morski w Gdyni
Publikacje
Filtry
wszystkich: 70
Katalog Publikacji
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e-JABAT – An Implementation of the Web-Based A-Team
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Cluster-based instance selection for machine classification
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JADE-Based A-Team as a Tool for Implementing Population-Based Algorithms
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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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Distributed Learning with Data Reduction
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Influence of the Working Strategy on A-Team Performance
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An Approach to Data Reduction and Integrated Machine Classification
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Prototype selection algorithms for distributed learning
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Ensemble Online Classifier Based on the One-Class Base Classifiers for Mining Data Streams
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An agent-based approach to ANN training
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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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A-Team Middleware on a Cluster
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Ensemble Classifier for Mining Data Streams
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JABAT Middleware as a Tool for Solving Optimization Problems
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Data Reduction Algorithm for Machine Learning and Data Mining
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Parallel Cooperating A-Teams
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An agent-based framework for distributed learning
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K-means clustering for SAT-AIS data analysis
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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
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AGENT-BASED APPROACH TO THE DESIGN OF RBF NETWORKS
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Designing RBFNs Structure Using Similarity-Based and Kernel-Based Fuzzy C-Means Clustering Algorithms
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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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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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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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Agent-Based Non-distributed and Distributed Clustering
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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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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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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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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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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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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
Publikacja
wyświetlono 1161 razy