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Publication search results
found 16 matches
- 2018
- Jerzy Blaszczynski, Jerzy Stefanowski:
Improving Bagging Ensembles for Class Imbalanced Data by Active Learning. Advances in Feature Selection for Data and Pattern Recognition 2018: 25-52 - Jerzy W. Grzymala-Busse, Teresa Mroczek:
Attribute Selection Based on Reduction of Numerical Attributes During Discretization. Advances in Feature Selection for Data and Pattern Recognition 2018: 13-24 - João Roberto Bertini Junior, Maria do Carmo Nicoletti:
Attribute-Based Decision Graphs and Their Roles in Machine Learning Related Tasks. Advances in Feature Selection for Data and Pattern Recognition 2018: 53-71 - Agnieszka Nowak-Brzezinska:
Feature Selection Approach for Rule-Based Knowledge Bases. Advances in Feature Selection for Data and Pattern Recognition 2018: 163-182 - Wieslaw Paja, Krzysztof Pancerz, Piotr Grochowalski:
Generational Feature Elimination and Some Other Ranking Feature Selection Methods. Advances in Feature Selection for Data and Pattern Recognition 2018: 97-112 - James Francis Peters, Sheela Ramanna:
Shape Descriptions and Classes of Shapes. A Proximal Physical Geometry Approach. Advances in Feature Selection for Data and Pattern Recognition 2018: 203-225 - Malgorzata Przybyla-Kasperek:
Attribute Selection in a Dispersed Decision-Making System. Advances in Feature Selection for Data and Pattern Recognition 2018: 133-162 - Ashmeet Singh, Sheela Ramanna:
Application of Tolerance Near Sets to Audio Signal Classification. Advances in Feature Selection for Data and Pattern Recognition 2018: 241-266 - Urszula Stanczyk:
Ranking-Based Rule Classifier Optimisation. Advances in Feature Selection for Data and Pattern Recognition 2018: 113-131 - Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain:
Advances in Feature Selection for Data and Pattern Recognition: An Introduction. Advances in Feature Selection for Data and Pattern Recognition 2018: 1-9 - Piotr Szczuko, Michal Lech, Andrzej Czyzewski:
Comparison of Classification Methods for EEG Signals of Real and Imaginary Motion. Advances in Feature Selection for Data and Pattern Recognition 2018: 227-239 - Annamária Szenkovits, Regina Meszlényi, Krisztián Búza, Noémi Gaskó, Rodica Ioana Lung, Mihai Suciu:
Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data. Advances in Feature Selection for Data and Pattern Recognition 2018: 185-202 - Katarzyna A. Tarnowska, Zbigniew W. Ras, Lynn Daniel, Doug Fowler:
Visual Analysis of Relevant Features in Customer Loyalty Improvement Recommendation. Advances in Feature Selection for Data and Pattern Recognition 2018: 269-293 - Jaroslaw Utracki, Mariusz Boryczka:
Evolutionary and Aggressive Sampling for Pattern Revelation and Precognition in Building Energy Managing System with Nature-Based Methods for Energy Optimization. Advances in Feature Selection for Data and Pattern Recognition 2018: 295-319 - Beata Zielosko, Krzysztof Zabinski:
Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach. Advances in Feature Selection for Data and Pattern Recognition 2018: 73-93 - Urszula Stanczyk, Beata Zielosko, Lakhmi C. Jain:
Advances in Feature Selection for Data and Pattern Recognition. Intelligent Systems Reference Library 138, Springer 2018, ISBN 978-3-319-67587-9 [contents]
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