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Browsing by Subject "Machine learning"

Now showing items 1-20 of 224

A Cloud-Based Framework for Machine Learning Workloads and Applications

Lopez Garcia, Alvaro; Marco De Lucas, Jesús; Antonacci, Marica; Zu Castell, Wolfgang; David, Mario; Hardt, Marcus; Lloret Iglesias, Lara; Moltó, Germán; Plociennik, Marcin; Tran, Viet; Alic, Andrei Stefan; Caballer Fernández, Miguel; Campos Plasencia, Isabel; Costantini, Alessandro; Dlugolinsky, Stefan (Institute of Electrical and Electronics Engineers, 2020-01-06)

[EN] In this paper we propose a distributed architecture to provide machine learning practitioners with a set of tools and cloud services that cover the whole machine learning development cycle: ranging from the models ...
A comparative study of Neural Machine Translation frameworks for the automatic translation of open data resources

Iranzo Sánchez, Javier (Universitat Politècnica de València, 2018-09-11)

[EN] Machine Translation (MT) is one of the most active areas in Artificial Intelligence, particularly in Pattern Recognition. MT has recently received a great deal of attention by key technology players such as Google, ...
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry

Lorente-Leyva, Leandro L.; Alemany Díaz, María Del Mar; Peluffo-Ordóñez, Diego H.; Herrera-Granda, Israel D. (Springer-Verlag, 2021-01-07)

[EN] This document presents a comparison of demand forecasting methods, with the aim of improving demand forecasting and with it, the production planning system of Ecuadorian textile industry. These industries present ...
A comparison of machine learning classifiers for leak detection and isolation in urban networks

Carreño-Alvarado, Elizabeth P.; Reynoso-Meza, Gilberto; Montalvo, Idel; Izquierdo Sebastián, Joaquín (International Center for Numerical Methods in Engineering (CIMNE), 2017-07-05)

[Otros] Leak detection and isolation (LDI) is a problem of interest for water management companies and their technical staff. Main reasons for this are that early detection of leakages can reduce dramatically (1) water ...
A comparison of machine learning models for the detection of metastatic tissue in axillary lymph nodes

Abad Martínez, Javier (Universitat Politècnica de València, 2020-07-30)

[EN] Breast cancer is currently the leading cause of death due to cancer in women, after lung cancer. For its diagnosis and staging, detection of metastatic tissue in axillary lymph nodes is occasionally used, since lymphatic ...
A dataset of attributes from papers of a machine learning conference

Vallejo-Huanga, Diego; Morillo, Paulina; Ferri Ramírez, César (Elsevier, 2019-06)

[EN] In this work, we present a dataset which provides information on the scientific program of a set conferences of Machine Learning. Data were extracted from the IEEE Xplore Digital Library and the official web site of ...
A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time

Martínez Martínez, Francisco; Rupérez Moreno, María José; Martínez-Sober, M.; Solves Llorens, Juan Antonio; Lorente, D.; Serrano-Lopez, A.J.; Martinez-Sanchis, Sandra; Monserrat, C.; Martin-Guerrero, J.D. (Elsevier, 2017-11-01)

[EN] This work presents a data-driven method to simulate, in real-time, the biomechanical behavior of the breast tissues in some image-guided interventions such as biopsies or radiotherapy dose delivery as well as to speed ...
A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning

Lorente, D.; Martínez-Martínez, F.; Rupérez Moreno, María José; Lago, M. A.; Martínez-Sober, M.; Escandell-Montero, P.; Martínez-Martínez, J. M.; Martínez-Sanchis, S.; Serrano-López, A.J.; Monserrat, C.; Martín-Guerrero, J.D. (Elsevier, 2017-04-01)

Progress in biomechanical modelling of human soft tissue is the basis for the development of new clinical applications capable of improving the diagnosis and treatment of some diseases (e.g. cancer), as well as the surgical ...
A hierarchical model to electricity load forecasting

Díaz-Alejo León, Stéphane (Universitat Politècnica de València, 2021-09-07)

[EN] Load forecasting models have drawn attention over the last decade, due to the fact that are of great help to the modernization of the power grid, and consequently, to the environment. In particular, models that use ...
A robust multimedia traffic SDN-Based management system using patterns and models of QoE estimation with BRNN

Canovas Solbes, Alejandro; REGO MAÑEZ, ALBERT; Romero Martínez, José Oscar; Lloret, Jaime (Elsevier, 2020-01-15)

[EN] Nowadays, network infrastructures such as Software Defined Networks (SDN) achieve a huge computational power. This allows to add a high processing on the network nodes. In this paper, a multimedia traffic management ...
A statistical recommendation model of mobile services based on contextual evidences

Picón, Artzai; Rodríguez-Vaamonde, Sergio; Jaén Martínez, Francisco Javier; Mocholí Agües, Juan Bautista; García, David; Cadenas, Alejandro (Elsevier, 2012-01)

[EN] Mobile devices are undergoing great advances in recent years allowing users to access an increasing number of services or personalized applications that can help them select the best restaurant, locate certain shops, ...
An Analysis of a KNN Perturbation Operator: An Application to the Binarization of Continuous Metaheuristics

García, José; Astorga, Gino; Yepes, V. (MDPI AG, 2021-02)

[EN] The optimization methods and, in particular, metaheuristics must be constantly improved to reduce execution times, improve the results, and thus be able to address broader instances. In particular, addressing combinatorial ...
An architecture and protocol for smart continuous eHealth monitoring using 5G

Lloret, Jaime; Parra-Boronat, Lorena; Abdullah, Miran Taha Abdullah; Tomás Gironés, Jesús (Elsevier, 2017)

[EN] Continuous monitoring of chronic patients improves their quality of life and reduces the economic costs of the sanitary system. However, in order to ensure a good monitoring, high bandwidth and low delay are needed. ...
Analysis of incidence of air quality on human health: a case study on the relationship between pollutant concentrations and respiratory diseases in Kennedy, Bogotá

Molina-Gomez, Nidia Isabel; Calderón-Rivera, Dayam Soret; Sierra-Parada, Ronal; Díaz Arévalo, Jose Luis; López Jiménez, Petra Amparo (Springer-Verlag, 2021-01)

[EN] Thousands of deaths associated with air pollution each year could be prevented by forecasting the behavior of factors that pose risks to people's health and their geographical distribution. Proximity to pollution ...
Analysis of segmentation methods for acne vulgaris images. Proposal of a new methodology applied to fluorescence images

Moncho Santonja, María; Sanz Alamán, María Begoña; Defez Garcia, Beatriz; Lengua Lengua, Ismael; Peris Fajarnes, Guillermo (Editorial Universitat Politècnica de València, 2020-04-10)

[EN] Acne vulgaris is one of the most common human pathologies worldwide. Its prevalence causes a high healthcare expenditure. Acne healthcare costs and effects on individuals' quality of life lead to the need of analysing ...
Analytical fusion of multimodal magnetic resonance imaging to identify pathological states in genetically selected Marchigian Sardinian alcohol-preferring (msP) rats

Cosa Liñán, Alejandro (Universitat Politècnica de València, 2017-11-06)

[EN] Alcohol abuse is one of the most alarming issues for the health authorities. It is estimated that at least 23 million of European citizens are affected by alcoholism causing a cost around 270 million euros. Excessive ...
Anàlisi d’imatge mèdica del cervell per donar suport al diagnòstic

Nadal Almela, Silvia (Universitat Politècnica de València, 2019-09-19)

[CA] Durant aquest projecte s’ha treballat amb imatges mèdiques disponibles gràcies a la col·laboració entre el centre d’investigació Pattern Recognition and Human Language Technology –PRHLT– i la Fundació per al Foment ...
Análisis comparativo de DBDT frente a otros algoritmos para el manejo de datos no escalares

Ramirez Cabrera, Jose Luis (Universitat Politècnica de València, 2014-03-13)

[ES] La ciencia de extraer información útil de grandes conjunto de datos o bases de datos es conocida como minería de datos. Este trabajo de master pretende realizar una comparación de un nueva técnica de minería de Datos, ...
Análisis de Imagen usando Métodos de Machine Learning para Visualización Electrónica a bordo de Barcos

Vázquez Salvador, Eduardo (Universitat Politècnica de València, 2020-04-08)

[ES] El proyecto presentado en este documento desarrolla cuatro tipos diferentes de métodos de detección de objetos. Es parte de un proyecto más grande actualmente en desarrollo en el Departamento de Ingeniería Eléctrica ...
Análisis de imágenes médicas del ojo humano para dar soporte al diagnóstico

Grafiá Pérez, Álvaro (Universitat Politècnica de València, 2019-09-18)

[ES] El soporte al personal sanitario mediante el uso del aprendizaje profundo ya es una realidad, dando unos resultados sobresalientes en diferentes aspectos de la sanidad. Este trabajo muestra la eficacia con la que ...