Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 89-108 de 338
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The Current Status of Social Risks on Educational Systems. An Analysis Through Social Media
(L. Gómez Chova, A. López Martínez, I. Candel Torres. IATED Academy, 2018-11)Social Risk in education such as bullying, are usually invisible to teachers and parents, at all educational levels. However, these risks remain a reality everywhere in the world, turning into a problem that is rapidly ... -
Dataciones absolutas de yacimientos protohistóricos de la bahía de Málaga en el contexto de la primera presencia fenicia en el sur de la Península Ibérica
(XCIEFP 2022. X Congreso Internacional de Estudios Fenicios y Púnicos, 2022)En el presente artículo pretendemos aportar un nuevo conjunto de dataciones para la primera presencia fenicia en la bahía de Málaga. Así, se aportarán dataciones complementarias a las existentes en yacimientos fenicios y ... -
Dealing with inheritance in OO evolutionary testing.
(2009-07)Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural languages. All this work can be used with small ... -
Deep learning for coronary artery disease severity classification
(2023)Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images
(2019-06-19)Nowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical ... -
Deep Learning to Analyze RNA-Seq Gene Expression Data
(Springer, 2017)Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ... -
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
(IEEE, 2021)Social conflicts appearing in the media are increas ing public awareness about security issues, resulting in a higher demand of more exhaustive environment monitoring methods. Automatic video surveillance systems are a ... -
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
(IEEE, 2018)Automatic video surveillance systems are usually designed to detect anomalous objects being present in a scene or behaving dangerously. In order to perform adequately, they must incorporate models able to achieve accurate ... -
Desarrollo de un Bot Evolutivo Interactivo para Unreal Tournament 2004
(2015-02-09)En este trabajo se ha implementado un algoritmo genético interactivo en un bot para el juego Unreal Tournament 2004, utilizando como base un bot que se definió anteriormente modelando el conocimiento de un jugador experto. ... -
Desarrollo de un semáforo inteligente basado en comunicaciones seguras
(Universidad de Zaragoza, 2019)En los nuevos paradigmas de movilidad surgidos durante los últimos años y en aquellos aún por llegar ha quedado patente la necesidad de modernizar la infraestructura viaria y los elementos de señalización y gestión del ... -
Descomposición en landscapes elementales del problema de diseño de redes de radio con aplicaciones
(2015-02-10)En este trabajo se presenta la descomposición en landscapes elementales de un problema de optimización combinatoria: el problema de Diseño de Redes de Radio. La teoría de landscapes provee un marco formal en el cual un ... -
Detección de fraude en transacciones Blockchain usando procesos de Machine Learning, una Aproximación al Estado del Arte.
(2023)Las aplicaciones financieras basadas en tecnología blockchain son cada vez más comunes en el día a día de la economía regulada global. Con este precedente, y en una contextualización de la detección de fraude mediante el ... -
Detection of tumor morphology mentions in clinical reports in spanish using transformers
(Springer, 2021)The aim of this study is to systematically examine the performance of transformer-based models for the detection of tumor morphology mentions in clinical documents in Spanish. For this purpose, we analyzed 3 transformer ... -
Dos estrategias de búsqueda anytime basadas en programación lineal entera para resolver el problema de selección de requisitos
(2016-09-19)El problema de selección de requisitos (o Next Release Problem, NRP) consiste en seleccionar el subconjunto de requisitos que se va a desarrollar en la siguiente versión de una aplicación software. Esta selección se debe ... -
Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study
(2016-09-15)Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines ... -
Dynamically programmable virtual profiles as a service
(2019-06-17)Many devices in our daily environments are being connected to the network, building what has been called the Web of Things. Although these things offer a web interface to interact with, this interaction must be performed ... -
Dynastic potential crossover operator
(2019-10-28)An optimal recombination operator provides an optimal solution fulfilling the gene transmission property: the value of any variable in the offspring must be inherited from one of the parents. In the case of binary variables, ... -
Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems
(2016-09-09)Efficient hill climbers have been recently proposed for single- and multi-objective pseudo-Boolean optimization problems. For $k$-bounded pseudo-Boolean functions where each variable appears in at most a constant number ... -
Efficient identification of improving moves in a ball for Pseudo-Boolean problems
(2014-06-27)Hill climbing algorithms are at the core of many approaches to solve optimization problems. Such algorithms usually require the complete enumeration of a neighborhood of the current solution. In the case of problems defined ... -
Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem
(2014-04-04)There exist local search landscapes where the evaluation function is an eigenfunction of the graph Laplacian that corresponds to the neighborhood structure of the search space. Problems that dis- play this structure are ...