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Mostrando ítems 191-200 de 385
Artículo
Contemporary training methodologies based on evolutionary artificial neural networks with product and sigmoid neurons for classification
(IOP Press, 2016-04)
This thesis introduces three contributions to train feed-forward neural network models based on evolutionary computation for a classification task. The new methodologies have been evaluated in three-layered neural models, ...
Artículo
Automating correctness verification of artifact-centric business process models
(Elsevier, 2015)
Context: The artifact-centric methodology has emerged as a new paradigm to support business process management over the last few years. This way, business processes are described from the point of view of the artifacts ...
Artículo
Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques
(Elsevier, 2011)
Human impact on the natural environment is an evident global fact. Natural, industrial and touristic areas coexist in a more than delicate balance. In Andalusia, in the south of Spain, the Regional Ministry for the ...
Artículo
Entity reconciliation in big data sources: A systematic mapping study
(Elsevier, 2017)
The entity reconciliation (ER) problem aroused much interest as a research topic in today’s Big Dataera, full of big and open heterogeneous data sources. This problem poses when relevant information ona topic needs to be ...
Artículo
External clustering validity index based on chi-squared statistical test
(Elsevier, 2019)
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so that each group contains objects that are more similar to each other than to objects in other ...
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Automated inference of likely metamorphic relations for model transformations
(Elsevier, 2018)
Model transformations play a cornerstone role in Model-Driven Engineering (MDE) as they provide the essential mechanisms for manipulating and transforming models. Checking whether the output of a model transformation is ...
Artículo
A Model-Driven approach for functional test case generation
(Elsevier, 2015)
Test phase is one of the most critical phases in software engineering life cycle to assure the final system quality. In this context, functional system test cases verify that the system under test fulfills its functional ...
Artículo
Automatic sleep stages classification using respiratory, heart rate and movement signals
(IOPScience, 2018-12)
This paper presents an algorithm for non-invasive sleep stage identification using respiratory, heart rate and movement signals. The algorithm is part of a system suitable for longterm monitoring in a home environment, ...
Artículo
Search‐based model transformations
(Wiley, 2016)
Model transformations are an important cornerstone of model‐driven engineering, a discipline which facilitates the abstraction of relevant information of a system as models. The success of the final system mainly depends ...
Artículo
Roller: A novel approach to web information extraction
(Springer, 2016)
The research regarding web information extraction focuses on learning rules to extract some selected information from web documents. Many proposals are ad-hoc and cannot benefit from the advances in machine learning; ...