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Mostrando ítems 101-107 de 107
Artículo
Temporal convolutional networks applied to energy-related time series forecasting
(MDPI, 2020)
Modern energy systems collect high volumes of data that can provide valuable information about energy consumption. Electric companies can now use historical data to make informed decisions on energy production by forecasting ...
Artículo
A class of neural-network-based transducers for web information extraction
(ScienceDirect, 2013-05)
The Web is a huge and still growing information repository that has attracted the attention of many companies. Many such companies rely on information extractors to integrate information that is buried into semi-structured ...
Artículo
Quality Measures for Gene Expression Biclusters
(Public Library of Science, 2015)
An noticeable number of biclustering approaches have been proposed proposed for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. ...
Artículo
A local and global tour on MOMoT
(Springer, 2017)
Many model transformation scenarios require flexible execution strategies as they should produce models with the highest possible quality. At the same time, transformation problems often span a very large search space ...
Artículo
Enriching User Reviews Through An Opinion Extraction System
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2015)
Web sites based on User-Generated Content (UGC) have a potentially valuable applicability in a number of elds. In this work we carry out a study of the usefulness of these systems from the point of view of detecting the ...
Artículo
CAFE: Fact Checking in Knowledge Graphs using Neighborhood-Aware Features
(IOS Press, 2020)
Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. Because KGs are often constructed automatically by means of information extraction processes, they ...
Artículo
LEAPME: Learning-based Property Matching with Embeddings
(Cornell University, 2020)
Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities from many sources. Matching and fusion of such entities require to also match and combine their ...