Listar Lenguajes y Ciencias de la Computación - (LCC) por título
Mostrando ítems 253-272 de 540
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Hacia la docencia “cloud-first” en la ingeniería de software
(2018-11-26)En 2007, no existían ni la computación en la nube como hoy la conocemos, ni los smartphones cuyo arquetipo es el iPhone de Apple. Apenas una década más adelante, Amazon Web Services controla la tercera parte de un mercado ... -
Hacia la generación automática de mecánicas de juego: un editor de reglas para Eryna
Este artículo es parte de un trabajo emergente dirigido a la creación automática de juegos de estrategia en tiempo real (RTS), lo cual incluye la generación de contenido, la creación de la inteligencia artificial del ... -
HADAS: Asistente de eco-eficiencia con repositorio de consumo energético
Muñoz, Daniel-Jesus; Pinto-Alarcon, Monica
; Fuentes, Lidia (2017-09-14)
El interés por la Ingeniería del Software "verde", o sea, sensible al consumo de energía, es relativamente reciente. Su objetivo es concienciar a los desarrolladores de software de la influencia que tienen sus decisiones ... -
HADAS: tool for analysis and development of sustainable applications
Fuentes-Fernández, Lidia; Munoz Guerra, Daniel Jesús (2018-09-13)
Durante esta Conferencia Internacional, representantes del Gobierno, autoridades locales, instituciones públicas y privadas, vicerrectores de Internacionalización y talento nacional e internacional crearon un ecosistema ... -
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences
Palomo, Esteban J.; Benito Picazo, Jesús; Domínguez-Merino, Enrique; López-Rubio, Ezequiel; Ortega-Zamorano, Francisco (Springer, 2021-09)
In this paper, a new color quantization method based on a self-organized artificial neural network called the Growing Hierarchical Bregman Neural Gas (GHBNG) is proposed. This neural network is based on Bregman divergences, ... -
Histopathological image analysis for breast cancer diagnosis by ensembles of convolutional neural networks and genetic algorithms
Molina-Cabello, Miguel Angel; Rodríguez Rodríguez, José Antonio; Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel (2021-07)
One of the most invasive cancer types which affect women is breast cancer. Unfortunately, it exhibits a high mortality rate. Automated histopathological image analysis can help to diagnose the disease. Therefore, computer ... -
Homography estimation with deep convolutional neural networks by random color transformations
Molina-Cabello, Miguel Angel; Elizondo, David A.; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-09-13)
Most classic approaches to homography estimation are based on the filtering of outliers by means of the RANSAC method. New proposals include deep convolutional neural networks. Here a new method for homography estimation ... -
How do preschoolers interact with peers? Characterising child and group behaviour in games with tangible interfaces in school
Barros-Blanco, Beatriz; Triviño-Rodriguez, Jose Luis; Trella-Lopez, Monica; Marco Rubio, Javier (Elsevier, 2022-09)
Learning social skills is an important part of the socialisation process of children, which should occur at school, at home and in any place where children live. There are very few studies on social interaction and ... -
Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
In Software Product Lines (SPLs) it is not possible, in general, to test all products of the family. The number of products denoted by a SPL is very high due to the combinatorial explosion of features. For this reason, ... -
Imagination industry Seoul
Vico-Vela, Francisco Jose (2018-07-27)
The time for biology has come. The Decade of the Brain closed the twentieth century, and the new one started with the sequentiation of the entire human genome. Since then, the avalanche of information and knowledge has ... -
Implementación de algoritmos meméticos con capacidad de auto-generación sobre CouchBD
García-García, Manuel; Nogueira-Collazo, Mariela; Cotta, Carlos; Fernández-Leiva, Antonio José; Merelo-Guervós, Juan J. (2015-02-09)
Los algoritmos meméticos constituyen un paradigma de optimización basado en la explotación sistemática del conocimiento acerca del problema que se desea resolver y de la combinación de ideas tomadas de diferentes ... -
Improved detection of small objects in road network sequences using CNN and super resolution
The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained ... -
Improving approximation of domain-focused, corpus-based, lexical semantic relatedness
(UMA Editorial, 2017-06-25)Semantic relatedness is a measure that quantifies the strength of a semantic link between two concepts. Often, it can be efficiently approximated with methods that operate on words, which represent these concepts. Approximating ... -
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
Calderón-Ramírez, Saúl; Murillo-Hernández, Diego; Rojas-Salazar, Kevin; Calvo-Valverde, Luis-Alexander; Yang, Shengxiang; Moemeni, Armaghan; Elizondo Acuña, David Alberto; López-Rubio, Ezequiel; Molina-Cabello, Miguel Angel[et al.] (2021-07)
Computer aided diagnosis for mammogram images have seen positive results through the usage of deep learning architectures. However, limited sample sizes for the target datasets might prevent the usage of a deep learning ... -
Infering Air Quality from Traffic Data using Transferable Neural Network Models
Molina-Cabello, Miguel Angel; Passow, Benjamin N.; Domínguez-Merino, Enrique; Elizondo, David A.; Obszynska, Jolanta (Springer, 2019-06)
This work presents a neural network based model for inferring air quality from traffic measurements. It is important to obtain information on air quality in urban environments in order to meet legislative and policy ... -
Información Consistente para la toma de Decisiones Empresariales
(UMA Editorial, 2020-02-24)Actualmente la sociedad vive un cambio de paradigma denominado Sociedad de la información, que afecta a individuos y a empresas/organizaciones en la forma de comunicarse, informase y relacionarse. La segmentación de ... -
iNGS: a prototype tool for genome interpretation and annotation
Navas-Delgado, Ismael; García Godoy, María Jesús; Arjona-Pulido, Fátima; Castillo-Castillo, Trinidad; Ramos-Ostio, Ana Isabel; Ifantes Díaz, Sarai; Medina García, Ana; Aldana-Montes, Jose Francisco[et al.] (EMBnet.journal, 2013)
Currently, clinical interpretation of whole-genome NGS genetic findings are very low-throughput because of a lack of computational tools/software. The current bottleneck of whole-genome and whole-exome sequencing projects ... -
Injecting domain knowledge in multi-objective optimization problems: A semantic approach
Barba-Gonzalez, Cristobal; Nebro-Urbaneja, Antonio Jesus; Garcia-Nieto, Jose Manuel; Roldan-Garcia, Maria del Mar; Navas-Delgado, Ismael; Aldana-Montes, Jose Francisco[et al.] (Actas de las XXVI Jornadas de Ingeniería del Software y Bases de Datos, 2022-09-05)
In the field of complex problem optimization with me-taheuristics, semantics has been used for modeling different aspects, such as: problem characterization, parameters, decision-maker's preferences, or algorithms. However, ... -
Los Intangibles en el Diseño de Sistemas de Ayuda a la Decisión.
(2016-06-03)El interés por los intangibles empezó a partir de la crisis reputacional de finales de siglo XX, que tuvo un impacto tremendo en Estados Unidos. Los casos de Enron, Tyco, Ahold, y Arthur Andersen pusieron de manifiesto la ... -
IntegraDos: facilitating the adoption of the Internet of Things through the integration of technologies
Martin-Fernandez, Cristian (UMA Editorial, 2018-11-14)
El Internet de las Cosas (IoT) fue un nuevo concepto introducido por K. Asthon en 1999 para referirse a un conjunto identificable de objetos conectados a través de RFID. Actualmente, el IoT se caracteriza por ser una ...