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The article presents an application of Adaptive Splitting and Selection (AdaSS) ensemble classifier in a real-life task of designing an efficient clinical decision support system for breast cancer malignancy grading. We approach the problem of cancer detection form a different angle - we already know that a given patient has a malignant type of cancer and we want to asses the level of that malignancy...
The paper presents a work-in-progress on a classification system for object detection in vision based industrial applications. The main idea of the presented system is application of the ensemble of one-class classifiers trained with specific features of objects of the whole scene. During recognition stage the ensemble tries to recognize the trained patterns. The system is well suited for parallel...
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