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    ECOOP
    2007
    Springer
    156views Programming Languages» more  ECOOP 2007»
    Metamodel Adaptation and Model Co-adaptation
    15 years 3 months ago
    Metamodel Adaptation and Model Co-adaptation
    Download  metrik.informatik.hu-berlin.de
    Like other software artefacts, metamodels evolve over time. We propose a transformational approach to assist metamodel evolution by stepwise adaptation. In the first part of the p...
    Guido Wachsmuth
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    LREC
    2010
    154views Education» more  LREC 2010»
    Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
    14 years 11 months ago
    Improving Proper Name Recognition by Adding Automatically Learned Pronunciation Variants to the Lexicon
    Download  www.lrec-conf.org
    This paper deals with the task of large vocabulary proper name recognition. In order to accomodate a wide diversity of possible name pronunciations (due to non-native name origins...
    Bert Réveil, Jean-Pierre Martens, Henk van ...
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    SERP
    2007
    182views Software Engineering» more  SERP 2007»
    From Functional Requirements through Test Evaluation Design to Automatic Test Data Patterns Retrieval - a Concept for Testing of
    14 years 11 months ago
    From Functional Requirements through Test Evaluation Design to Automatic Test Data Patterns Retrieval - a Concept for Testing of
    Download  web.fokus.fraunhofer.de
    - Functional testing of software dedicated for hybrid embedded systems should start at the early development phase and requires analysis of discrete and continuous signals, where t...
    Justyna Zander-Nowicka, Abel Marrero Pérez,...
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    PRL
    2008
    161views more  PRL 2008»
    Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
    14 years 9 months ago
    Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
    Download  www.softcomputing.net
    This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
    Swagatam Das, Ajith Abraham, Amit Konar
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    ISBI
    2011
    IEEE
    283views Medical Imaging» more  ISBI 2011»
    Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
    14 years 1 months ago
    Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
    Download  www.gris.informatik.tu-darmstadt.de
    Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
    Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
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