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» Feature Selection for Complex Patterns
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BMCBI
2008
136views more  BMCBI 2008»
14 years 12 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
AUSAI
2003
Springer
15 years 5 months ago
A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images
Abstract. X-ray mammography is the current clinical method for screening for breast cancer, and like any technique, has its limitations. Several groups have reported differences i...
Shane M. Butler, Geoffrey I. Webb, Rob A. Lewis
IPMI
2009
Springer
16 years 18 days ago
Multivariate High-Dimensional Cortical Folding Analysis, Combining Complexity and Shape, in Neonates with Congenital Heart Disea
The paper presents a novel statistical framework for cortical folding pattern analysis that relies on a rich multivariate descriptor of folding patterns in a region of interest (RO...
Suyash P. Awate, Paul A. Yushkevich, Zhuang Song, ...
EVOW
2006
Springer
15 years 3 months ago
Robust SVM-Based Biomarker Selection with Noisy Mass Spectrometric Proteomic Data
Abstract. Computational analysis of mass spectrometric (MS) proteomic data from sera is of potential relevance for diagnosis, prognosis, choice of therapy, and study of disease act...
Elena Marchiori, Connie R. Jimenez, Mikkel West-Ni...
ICSR
2009
Springer
15 years 6 months ago
Feature-Driven and Incremental Variability Generalization in Software Product Line
In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed ap...
Liwei Shen, Xin Peng, Wenyun Zhao