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    SDM
    2010
    SIAM
    144views Data Mining» more  SDM 2010»
    A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
    15 years 1 months ago
    A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
    Download  www.cs.cmu.edu
    This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
    Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
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    BMCBI
    2010
    127views more  BMCBI 2010»
    Computational prediction of type III secreted proteins from gram-negative bacteria
    14 years 11 months ago
    Computational prediction of type III secreted proteins from gram-negative bacteria
    Download  www.biomedcentral.com
    Background: Type III secretion system (T3SS) is a specialized protein delivery system in gramnegative bacteria that injects proteins (called effectors) directly into the eukaryoti...
    Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma...
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    AUSFORENSICS
    2004
    271views Forensic Engineering» more  AUSFORENSICS 2004»
    Generalising Event Forensics Across Multiple Domains
    15 years 1 months ago
    Generalising Event Forensics Across Multiple Domains
    Download  eprints.qut.edu.au
    In cases involving computer related crime, event oriented evidence such as computer event logs, and telephone call records are coming under increased scrutiny. The amount of techn...
    Bradley Schatz, George M. Mohay, Andrew Clark
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    14 years 11 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    BMCBI
    2004
    133views more  BMCBI 2004»
    Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
    14 years 11 months ago
    Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
    Download  www.biomedcentral.com
    Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
    Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
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