ListarArtículos (Lenguajes y Sistemas Informáticos) por materia "Machine learning"
Mostrando ítems 1-20 de 20
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A comparison of machine learning regression techniques for LiDAR-derived estimation of forest variables
(Elsevier, 2015)Light Detection and Ranging (LiDAR) is a remote sensor able to extract three-dimensional information. Environmental models ...
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A machine learning-based methodology for short-term kinetic energy forecasting with real-time application: Nordic Power System case
(Elsevier, 2023-12)The progressive substitution of conventional synchronous generation for renewable-based generation imposes a series of ...
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A new approach based on association rules to add explainability to time series forecasting models
(ScienceDirect, 2023)Machine learning and deep learning have become the most useful and powerful tools in the last years to mine information ...
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Ameva: An autonomous discretization algorithm
(ScienceDirect, 2009-04)This paper describes a new discretization algorithm, called Ameva, which is designed to work with supervised learning ...
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Ampliación automática de corpus mediante la colaboración de varios etiquetadores
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2006)La disponibilidad de grandes corpus con texto etiquetado es un aspecto esencial en muchas tareas del procesamiento del ...
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An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market
(Elsevier, 2024)CO2 emissions play a crucial role in international politics. Countries enter into agreements to reduce the amount of ...
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An evolutionary approach to estimating software development projects
(Elsevier, 2001)The use of dynamic models and simulation environments in connection with software projects paved the way for tools that ...
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An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
(Elsevier, 2015)Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have ...
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La Combinación de Sistemas y el PLN
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2010)La combinación de sistemas constituye un área de investigación ampliamente estudiada en el ámbito del Reconocimiento de ...
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Comparing artificial intelligence strategies for early sepsis detection in the ICU: an experimental study
(Springer, 2023)Sepsis is a life-threatening condition whose early recognition is key to improving outcomes for patients in intensive care ...
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Deep embeddings and Graph Neural Networks: using context to improve domain-independent predictions
(SprigerLink, 2023-06-28)Graph neural networks (GNNs) are deep learning architectures that apply graph convolutions through message-passing processes ...
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Deep Learning Techniques to Improve the Performance of Olive Oil Classification
(Frontiers Editorial, 2020)The olive oil assessment involves the use of a standardized sensory analysis according to the “panel test” method. However, ...
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Detecting Flight Trajectory Anomalies and Predicting Diversions in Freight Transportation
(Elsevier, 2016)Timely identifying flight diversions is a crucial aspect of efficient multi-modal transportation. When an airplane diverts, ...
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Enhancing smart home appliance recognition with wavelet and scalogram analysis using data augmentation
(IOS Press, 2024)The development of smart homes, equipped with devices connected to the Internet of Things (IoT), has opened up new ...
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Generación Semiautomática de Recursos
(Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN), 2007)Los resultados de muchos algoritmos que se aplican en tareas de procesamiento del lenguaje natural dependen de la ...
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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 ...
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MCFS: Min-cut-based feature-selection
(Elsevier, 2020)In this paper, MCFS (Min-Cut-based feature-selection) is presented, which is a feature-selection algorithm based on the ...
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TAPON-MT: a versatile framework for semantic labelling
(Elsevier, 2019-07)Semantic labelling refers to the problem of assigning known labels to the elements of structured information from a source ...
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TAPON: a two-phase machine learning approach for semantic labelling
(Elsevier, 2019-01-01)Through semantic labelling we enrich structured information from sources such as HTML pages, tables, or JSON files, with ...
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Trip destination prediction based on past GPS log using a Hidden Markov Model
(Elsevier, 2010)In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is ...