Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 155-174 de 339
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GTS Families for the Flexible Composition of Graph Transformation Systems
(2017)Morphisms between graph-transformation systems (GTSs) have been successfully used for the refinement, reuse, and composition of GTSs. All these uses share a fundamental problem: to be able to define a morphism, source and ... -
Hacia la generación automática de mecánicas de juego: un editor de reglas para Eryna
(2016)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
(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
(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
(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
(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
(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 ... -
Human Activity Recognition From Sensorised Patient´s Data in Healthcare: A Streaming Deep Learning-Based Approach.
(SISTEDES, 2023)Physical inactivity is one of the main risk factors for mortality, and its relationship with the main chronic diseases has experienced intensive medical research. A well-known method for assessing people’s activity is ... -
Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines
(2017-05-02)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
(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 ... -
Impacto de la heterogeneidad espacial del tráfico de red en el problema del apagado de celdas en redes ultra-densas.
(2023)The ultra-dense deployment of small base stations is one of the enabling technologies for the next generation of mobile networks (5G and 6G), which leads to an increase in the energy consumption of the infrastructure. This ... -
Implementación de algoritmos meméticos con capacidad de auto-generación sobre CouchBD
(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 ... -
Improving Bi-Objective Shortest Path Search with Early Pruning.
(2023)Bi-objective search problems are a useful generalization of shortest path search. This paper reviews some recent contributions for the solution of this problem with emphasis on the efficiency of the dominance checks ... -
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning
(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
(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 ... -
iNGS: a prototype tool for genome interpretation and annotation
(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 ... -
Innovations that empower teachers: the case of i-Spring to design tailor-made learning materials.
(2023)Organizations must acknowledge the necessity of change and adopt diverse management strategies to swiftly adapt to the evolving technology and the new knowledge landscape. In the context of educational changes, an increasing ... -
Integrating the common variability language with multilanguage annotations for web engineering
(2018-10-05)Web applications development involves managing a high diversity of files and resources like code, pages or style sheets, implemented in different languages. To deal with the automatic generation of custom-made configurations ... -
An Intelligent Advisor for City Traffic Policies
(2018-11-26)Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how ... -
Interconnecting IoT devices to improve the QoL of elderly people
(2020-06-15)The rate at which the Internet is growing is unstoppable due to the large number of connected smart devices. Manufacturers often develop specific protocols for their own devices that do not usually follow any standards. ...