Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 21-40 of 334
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A Review of Classification Problems and Algorithms in Renewable Energy Applications
(MDPI, 2016)Classification problems and their corresponding solving approaches constitute one of the fields of machine learning. The application of classification schemes in Renewable Energy (RE) has gained significant attention in ... -
A review on data fusion in multimodal learning analytics and educational data mining
(Wiley, 2022)The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data ... -
A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques
(MDPI, 2025)This study explores land use classification in Trento using supervised learning techniques combined with call detail records (CDRs) as a proxy for human activity. Located in an alpine environment, Trento presents unique ... -
A survey of many-objective optimisation in search-based software engineering
(Elsevier, 2019)Search-based software engineering (SBSE) is changing the way traditional software engineering (SE) activities are carried out by reformulating them as optimisation problems. The natural evolution of SBSE is bringing new ... -
A Systematic Review of Interaction in Search-Based Software Engineering
(IEEE, 2019)Search-Based Software Engineering (SBSE) has been successfully applied to automate a wide range of software development activities. Nevertheless, in those software engineering problems where human evaluation and preference ... -
A Taxonomy of Information Attributes for Test Case Prioritisation: Applicability, Machine Learning
(Association for Computing Machinery, 2023)Most software companies have extensive test suites and re-run parts of them continuously to ensure recent changes have no adverse effects. Since test suites are costly to execute, industry needs methods for test case ... -
A thorough experimental comparison of multilabel methods for classification performance
(Elsevier, 2024)Multilabel classification as a data mining task has recently attracted increasing interest from researchers. Many current data mining applications address problems with instances that belong to more than one class. These ... -
A two-stage algorithm in evolutionary product unit neural networks for classification
(Elsevier, 2011)This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ... -
A Ubiquitous NFC Solution for the Development of Tailored Marketing Strategies Based on Discount Vouchers and Loyalty Cards
(MDPI, 2013)Because of the global economic turmoil, nowadays a lot of companies are adopting a “deal of the day” business model, some of them with great success. Generally, they try to attract and retain customers through discount ... -
A visual big data system for the prediction of weather-related variables: Jordan-Spain case study
(Springer, 2023)The Meteorology is a field where huge amounts of data are generated, mainly collected by sensors at weather stations, where different variables can be measured. Those data have some particularities such as high volume and ... -
A VR Serious Game to Increase Empathy towards Students with Phonological Dyslexia
(IEEE, 2023)Dyslexia is a neurodevelopmental disorder that is estimated to affect about 5-10% of the population. In particular, phonological dyslexia causes problems in connecting the sounds of words with their written forms. This ... -
A weed monitoring system using UAV-imagery and the Hough transform
(2015)Usually, crops require the use of herbicides as a useful manner of controlling the quality and quantity of crop production. Although there are weed-free areas, the most common approach is to broadcast herbicides entirely ... -
Absolute and Relative Reliability of the Assessment of the Muscle Mechanical Properties of Pelvic Floor Muscles in Women with and without Urinary Incontinence
(MDPI, 2021)An analysis of the muscle mechanical properties (MMPs) of the pelvic floor muscles (PFMs) is relevant for understanding the physiopathology of urinary incontinence (UI). However, there is no objective and reliable methodology ... -
Activation functions for convolutional neural networks: proposals and experimental study
(IEEE Publishing, 2023)Activation functions lie at the core of every neural network model from shallow to deep convolutional neural networks. Their properties and characteristics shape the output range of each layer and, thus, their capabilities. ... -
Advances in the Use of Fiducial Markers for Positioning Tasks with Cameras
(Universidad de Córdoba, UCOPress, 2025)Camera pose estimation involves determining the spatial position and orientation of a camera with respect to a reference coordinate system. This capability is fundamental for applications such as robotics, augmented reality, ... -
Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección
(2013-10-08)Este trabajo aborda la resolución de problemas de clasificación binaria utilizando una metodología híbrida que combina la regresión logística y modelos evolutivos de redes neuronales de unidades producto. Para estimar ... -
Algoritmos Evolutivos para Descubrimiento de Reglas de Predicción en la Mejora de Sistemas Educativos Adaptativos basados en Web
(Universidad de Castilla-La Mancha, Escuela Superior de Informática, 2005)Este artículo muestra la utilización de los algoritmos evolutivos para el descubrimiento de reglas de predicción que se utilizarán en la mejora de Cursos Hipermedia Adaptativos basados en Web. Se ha desarrollado una ... -
Algoritmos genéticos locales
(Universidad de Málaga, 2007)Los Algoritmos Genéticos Locales son procedimientos que iterativamente re nan soluciones dadas. Su diferencia con procedimientos de mejora iterativa clásicos reside en el uso de operadores genéticos para realizar el ... -
An Alert System for People Monitoring Based on Multi- Agents using Maps
(Technische Universität Graz, 2013)This paper describes an alert system for people monitoring based on multi-agent using maps. This system monitors the users’ physical context using their mobile phone. The data acquisition is made using the available ...