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Several flaviviruses are important human pathogens, including dengue virus, a disease against which neither a vaccine nor specific antiviral therapies currently exist. QSAR study was carried out with the purpose of searching new competitive dengue inhibitors with similar properties to the existence inhibitors (i.e. data set). The approach began with the development of rigorously validated QSAR model...
We propose a fast regression algorithm that can substantially reduce the computational complexity of searching, yet retain good accuracy. It also guarantees to discover correlated features that are collectively predictive, and avoid model over-fitting. Its capability of controlling mFDR (marginal False Discovery Rate) statistically enables the one-pass search of the fast algorithm and guarantees the...
Radiotherapy treatments of cancer patients are planned using dose-volume constraints. These constraints limit the volume of organs receiving a given threshold dose. We propose a new framework to predict radiation-induced toxicities and evaluate dosimetric constraints using Bayesian logistic regression with high-order interactions. The predictive power of 2 sets of rectal dose-volume constraints proposed...
Managing customer credit is an important issue in the banking industry and should always be done in an automatic way, with credit scoring trusted. This paper presents our solution to PAKDD 2009 data mining competition as a case study of the credit scoring problem. Following a brief description of the data mining task, several challenges confronted in the task such as imbalanced dataset, missing values...
Modern software systems expose management metrics to help track their health. Recently, it was demonstrated that correlations among these metrics allow faults to be detected and their causes localized. In particular, linear regression models have been used to capture metric correlations. We show that for many pairs of correlated metrics in software systems, such as those based on Java Enterprise Edition...
Measurement of visual quality is of fundamental importance to many image and video processing applications. Traditionally, quality assessment metrics predict visual quality following the paradigm of modeling the known properties of the Human Visual System (HVS). The Structural Similarity (SSIM) index is a new approach which assumes that the HVS is highly adapted for extracting structural information...
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