ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Machine Learning"
Mostrando ítems 1-13 de 13
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A unified model representation of machine learning knowledge
(Rinton Press, 2020)Nowadays, Machine Learning (ML) algorithms are being widely applied in virtually all possible scenarios. However, developing ...
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Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance
(Elsevier, 2020)Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the ...
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Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
(Elsevier, 2020)The vast amount of data stored nowadays has turned big data analytics into a very trendy research field. The Spark ...
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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 ...
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CAFE: Knowledge graph completion using neighborhood-aware features
(Elsevier, 2021)Knowledge Graphs (KGs) currently contain a vast amount of structured information in the form of entities and relations. ...
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DISCERNER: Dynamic selection of resource manager in hyper-scale cloud-computing data centres
(Elsevier, 2021)Data centres constitute the engine of the Internet, and run a major portion of large web and mobile applications, content ...
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Improving models for environmental applications of LiDAR: Novel approaches based on soft computing
(IOS Press, 2016)This work proposes novel methodologies to improve the use of Light Detection And Ranging (LiDAR) for environ mental purposes, ...
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Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data
(BMC, 2022)Background: Single-cell RNA sequencing (scRNA-seq) data provide valuable insights into cellular heterogeneity which is ...
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LEAPME: learning-based property matching with embeddings
(Elsevier, 2022)Data integration tasks such as the creation and extension of knowledge graphs involve the fusion of heterogeneous entities ...
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Machine learning regression to boost scheduling performance in hyper-scale cloud-computing data centres
(Elsevier, 2022)Data centres increase their size and complexity due to the increasing amount of heterogeneous work loads and patterns to ...
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SLA-aware operational efficiency in AI-enabled service chains: challenges ahead
(Springer, 2022)Service providers compose services in service chains that require deep integra tion of core operational information systems ...
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Statistically Representative Metrology of Nanoparticles via Unsupervised Machine Learning of TEM Images
(MDPI, 2021)The morphology of nanoparticles governs their properties for a range of important applica tions. Thus, the ability to ...
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Two deep learning approaches to forecasting disaggregated freight flows: convolutional and encoder–decoder recurrent
(Springer, 2021)Time series forecasting of disaggregated freight flow is a key issue in decision-making by port authorities. For this ...