Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms - researchr publication authors

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Soraya Cheriguene, Nabiha Azizi, Nawel Zemmal, Nilanjan Dey, Hayet Djellali, Nadir Farah. Optimized Tumor Breast Cancer Classification Using Combining Random Subspace and Static Classifiers Selection Paradigms. In Aboul Ella Hassanien, Crina Grosan, Mohamed Fahmy Tolba, editors, Applications of Intelligent Optimization in Biology and Medicine - Current Trends and Open Problems. Volume 96 of Intelligent Systems Reference Library, pages 289-307, Springer, 2016. [doi]

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