Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 277-296 of 334
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SAMPLID: A New Supervised Approach for Meaningful Place Identification Using Call Detail Records as an Alternative to Classical Unsupervised Clustering Techniques
(MDPI, 2024)Data supplied by mobile phones have become the basis for identifying meaningful places frequently visited by individuals. In this study, we introduce SAMPLID, a new Supervised Approach for Meaningful Place Identification, ... -
Scalable CAIM Discretization on Multiple GPUs Using Concurrent Kernels
(2017)CAIM(Class-Attribute InterdependenceMaximization) is one of the stateof- the-art algorithms for discretizing data for which classes are known. However, it may take a long time when run on high-dimensional large-scale ... -
Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery
(2017)This paper approaches the problem of weed mapping for precision agriculture, using imagery provided by Unmanned Aerial Vehicles (UAVs) from sun ower and maize crops. Precision agriculture referred to weed control is ... -
Semantic segmentation of 3D car parts using UAV-based images
(Elsevier, 2022)Environment understanding in real-world scenarios has gained an increased interest in research and industry. The advances in data capture and processing allow a high-detailed reconstruction from a set of multi-view images ... -
Semi-Riemannian structures for symmetric Galilean spacetimes
(Springer, 2024)We introduce semi-Riemannian structures well-adapted to certain fields of observers in a Galilean spacetime. The Levi-Civita connection of such a semi-Riemannian metric will allow us to obtain variational characterizations ... -
Semi-supervised Learning for Ordinal Kernel Discriminant Analysis
(Elsevier, 2016)Ordinal classication considers those classication problems where the labels of the variable to predict follow a given order. Naturally, labelled data is scarce or di_cult to obtain in this type of problems because, in ... -
Short- and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks
(Elsevier, 2020)This paper presents a novel approach to tackle simultaneously short- and long-term energy flux prediction (specifically, at 6h, 12h, 24h, and 48h time horizons). The methodology proposed is based on the Multi-Task Learning ... -
SI(FS)2: Fast simultaneous instance and feature selection for datasets with many features
(Elsevier, 2021)Data reduction is becoming increasingly relevant due to the enormous amounts of data that are constantly being produced in many fields of research. Instance selection is one of the most widely used methods for this task. ... -
Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks
(Elsevier, 2021)The prediction of wave height and flux of energy is essential for most ocean engineering applications. To simultaneously predict both wave parameters, this paper presents a novel approach using short-term time prediction ... -
Sistema de análisis de movimiento tridimensional basado en vídeo: aplicación a la evaluación de movilidad en enfermedades reumatológicas crónicas
(Universidad de Córdoba, Servicio de Publicaciones, 2010)La presente Tesis Doctoral describe el diseño y validación de un sistema de captura de movimiento basado en vídeo. Se ha descrito su esquema de funcionamiento y algoritmos principales así como una serie de ensayos para ... -
Sistema de consulta de notas a través de Páginas Web y de Telefonía Móvil
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2005)In this paper we are going to present a system which lets any student at Cordoba University knows what the final qualifications he has obtained in the different subjects he is registered are. The sytem lets him consult the ... -
Sistema digital de catalogación y consulta de documentos académicos: Tesis, Tesinas, Proyectos de Fin de Carrera
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2005)A digital system has been developed on order to catalogue and consult academic documents: Theses, First Degree Dissertations and Technical Degree Final Projects. The system uses a listing of bibliographical subjects which ... -
Sistema y método para el recubrimiento con elastómeros y fluoropolímeros de piezas y soportes metálicos
(Oficina de Transferencia de Resultados de la Investigación, 2011)El objeto de la invención es un método y un sistema para gobernar un robot industrial para aplicar recubrimientos del tipo antiadherente mediante elastómeros o fluoropolímeros en piezas y soportes metálicos, especialmente ... -
Sistemas de evaluación de los alumnos mediante test informatizados utilizando telefonía móvil
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2007)This paper describes a system for executing adaptive tests in mobile devices. Tests are generated in XML files using Test Editor that is a author tool integrated in AHA! system. These tests are interpreted by our system ... -
Soft labelling based on triangular distributions for ordinal classification
(Elsevier, 2023)Recently, solving ordinal classification problems using machine learning and deep learning techniques has acquired important attention. There are many real-world problems in different areas of knowledge where a categorical ... -
Sparse Indoor Camera Positioning with Fiducial Markers
(MDPI, 2025)Accurately estimating the pose of large arrays of fixed indoor cameras presents a significant challenge in computer vision, especially since traditional methods predominantly rely on overlapping camera views. Existing ... -
Speeding Up Evolutionary Learning Algorithms using GPUs
(ESTYLF, 2010)This paper propose a multithreaded Genetic Programming classi cation evaluation model using NVIDIA CUDA GPUs to reduce the computational time due to the poor perfor- mance in large problems. Two di erent clas- si ... -
Speeding up Multiple Instance Learning Classification Rules on GPUs
(2017)Multiple instance learning is a challenging task in supervised learning and data mining. How- ever, algorithm performance becomes slow when learning from large-scale and high-dimensional data sets. Graphics processing ... -
sSLAM: Speeded-Up Visual SLAM Mixing Artificial Markers and Temporary Keypoints
(MDPI, 2023)Environment landmarks are generally employed by visual SLAM (vSLAM) methods in the form of keypoints. However, these landmarks are unstable over time because they belong to areas that tend to change, e.g., shadows or moving ... -
StaTDS library: Statistical tests for Data Science
(Elsevier, 2024)In Data Science, there is a continual demand for statistical comparison to identify the most advantageous algorithms. Finding a software tool that facilitates the execution of multiple tests on different Data Science ...