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First published 2010-7

A Robust Multiple Classifier System for Pixel Classification of Remote Sensing Images

Ujjwal Maulik, Debasis Chakraborty

Fundamenta Informaticae

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Homogeneous multi-classifier system for moving vehicles noise classification based on multilayer perceptron

Norasmadi Abdul Rahim, MP Paulraj, Abdul Hamid Adom [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2006-8

A Rough Set Approach to Multiple Classifier Systems

Zbigniew Suraj, Neamat El Gayar, Pawel Delimata

Fundamenta Informaticae

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First published 2008-5

A New Architecture for Learning Classifier Systems to Solve POMDP Problems

Ali Hamzeh, Adel Rahmani

Fundamenta Informaticae

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Research article

First published 2009-11

A Recursive Classifier System for Partially Observable Environments

Ali Hamzeh, Sattar Hashemi, Ashkan Sami [...]

Fundamenta Informaticae

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Research article

First published 2015-10

Development of an Automated Medical Diagnosis System for Classifying Thyroid Tumor Cells using Multiple Classifier Fusion

B. Gopinath, N. Shanthi

Technology in Cancer Research & Treatment

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First published 2008-6

Approximating Arbitrary Reinforcement Signal by Learning Classifier Systems using Micro Genetic Algorithm

Ali Hamzeh, Adel Rahmani

Fundamenta Informaticae

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First published 2012-11

A dissimilarity-based multiple classifier system for trabecular bone texture in detection and prediction of progression of knee osteoarthritis

Tomasz Woloszynski, Pawel Podsiadlo, Gwidon Stachowiak [...]

Proceedings of the Institution of Mechanical Engineers,Part H: Journal of Engineering in Medicine

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First published 2020-2

A computer vision system for objective fabric smoothness appearance assessment with an ensemble classifier

Jingan Wang, Kangjun Shi, Lei Wang [...]

Textile Research Journal

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First published 2007-5

New approach for extracting knowledge from the XCS learning classifier system

Faten Kharbat, Mohammed Odeh, Larry Bull

International Journal of Hybrid Intelligent Systems

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