Titlebook: Knowledge-Based Systems in Biomedicine and Computational Life Science; Tuan D. Pham,Lakhmi C. Jain Book 2013 Springer-Verlag Berlin Heidel

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Breast Cancer Histological Image Classification with Multiple Features and Random Subspace Classifion histological images. The image features are extracted using the Curvelet Transform, statistics of Gray Level Co-occurrence Matrix (GLCM) and the Completed Local Binary Patterns (CLBP), respectively. The three different features are combined together and used for classification. A classifier ensem

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Protein Structure Prediction: Are We There Yet?,tein conformations is the key to it. But still, there is a huge sequence-structure gap between the available number of protein sequences and the known count of experimentally solved structures. Because of several technical and resource limitations, experimentally determined structures do not exist f

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Robust Algorithmic Detection of Cardiac Pathologies from Short Periods of RR Data,lities. Recently we have illustrated that building meta-indicators on the base of existing indicators from nonlinear dynamics (NLD) using boosting-like ensemble learning techniques could help to overcome one of the main restrictions of all NLD and linear indicators – requirement of long time series

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