Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT Images-Reference-Cited by-同舟云学术

Artificial Immune Recognition System Based Classifier Ensemble on the Different Feature Subsets for Detecting the Cardiac Disorders from SPECT Images

Published: Issue: Volume: Page:45-53
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Polat Kemal,Şekerci Ramazan,Güneş Salih

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-74469-6_5.pdf

Reference12 articles.

1. Verikas, A., Lipnickas, A., Malmqvist, K., Bacauskiene, M., Gelzinis, A.: Soft combination of neural classifiers: A comparative study. Pattern Recognition Lett. 20, 429–444 (1999)

2. Bacauskiene, M., Verikas, A.: Selecting salient features for classification based on neural network committees. Pattern Recognition Letters 25(16), 1879–1891 (2004)

3. Kurgan, L.A., Cios, K.J., Tadeusiewicz, R., Ogiela, M., Doodenday, L.S.: Knowledge discovery approach to automated cardiac SPECT diagnosis. Artifical Intelligence in Medicine, 149–169 (2001)

4. Bakırcı, Ü., Yıldırım, T.: Diagnosis of Cardiac Problems From SPECT Images by Feedforward Networks, SİU 2004. In: IEEE 12. Sinyal İşleme ve İletişim Uygulamaları Kurultayı, pp. 103–105. Kuşadası (2004)

5. Kurgan, L., Cios, K.J.: Ensemble of Classifiers to Improve Accuracy of the CLIP4 Machine Learning Algorithm. In: SPIE’s International Symposium on Sensor Fusion: Architectures, Algorithms, and Applications VI (accepted, 2002)

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