Listar Departamento de Informática y Análisis Numérico por título
Mostrando ítems 168-187 de 254
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Multi-view gait recognition on curved
(2017-12-11)Appearance changes due to viewing angle changes cause difficulties for most of the gait recognition methods. In this paper, we propose a new approach for multi-view recognition, which allows to recognize people walking on ... -
Multifractal detrended fluctuation analysis of sheep livestock prices in origin
(Elsevier, 2013)The multifractal detrended fluctuation analysis (MF-DFA) is used to verify whether or not the returns of time series of prices paid to farmers in original markets can be described by the multifractal approach. By way of ... -
New challenges on associative classification: Big Data and applications
(Universidad de Córdoba, UCOPress, 2020)La clasificación asociativa surge como resultado de la unión de dos importantes ámbitos del aprendizaje automático. Por un lado la tarea descriptiva de extracción de reglas de asociación, como mecanismo para obtener ... -
New Hybrid Learning Models for Multi-label Classification and Label Ranking
(Universidad de Córdoba, UCOPress, 2016)En la última década, el aprendizaje multi-etiqueta se ha convertido en una importante tarea de investigación, debido en gran parte al creciente número de problemas reales que contienen datos multi-etiqueta. En esta tesis ... -
Nonlinear Boosting Projections for Ensemble Construction
(Dale Schuurmans, 2007)In this paper we propose a novel approach for ensemble construction based on the use of nonlinear projections to achieve both accuracy and diversity of individual classifiers. The proposed approach combines the philosophy ... -
Novel support vector machines for diverse learning paradigms
(Universidad de Córdoba, UCOPress, 2019) -
Nuevas fórmulas de emparejamiento donante y receptor en el trasplante de pulmón
(Universidad de Córdoba, UCOPress, 2022)1. INTRODUCCIÓN. Uno de los principales problemas del trasplante de pulmón es la escasez de órganos y la reducción de las tasas de supervivencia. En ausencia de un modelo estandarizado internacional para la asignación de ... -
Nuevos métodos para clustering basado en algoritmos evolutivos
(Universidad de Córdoba, UCOPress, 2023)La presente tesis doctoral aborda el estudio de la solución del problema de agrupamiento. La solución a este problema busca dividir un conjunto de datos en grupos, donde los elementos dentro de cada grupo sean similares ... -
Object-Based Image Classification of Summer Crops with Machine Learning Methods
(MDPI, 2014)The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping ... -
On the concept of infinitesimal position vector fields in Galilean spacetimes
(World Scientific, 2022)We introduce two different ways to establish the concept of infinitesimal position vector field between “infinitesimally nearby” observers in a Galilean spacetime as well as show their mathematical equivalence. We also use ... -
On the geometry of stationary Galilean spacetimes
(Springer, 2021)In this work we introduce a new family of non-relativistic spacetimes: standard stationary Galilean spacetimes, which constitute the local geometric model of stationary Galilean spacetimes. We also study the geodesic ... -
Online removal of ocular artefacts from the electroencephalogram
(Institution of Engineering and Technology, 2004)A method by which ocular artefacts (OAs) in the electroencephalogram (EEG) may be removed automatically online by electro-oculogram (EOG) subtraction is demonstrated. This is achieved by a combination of recursively ... -
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
(MDPI, 2019)In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally ... -
Optimal online time-series segmentation
(Springer, 2024)When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ... -
Optimización de algoritmos científicos en sistemas heterogéneos y aceleradores para computación de altas prestaciones
(Universidad de Córdoba, UCOPress, 2023)Actualmente, la computación de propósito general en GPU es uno de los pilares básicos de la computación de alto rendimiento. Aunque existen cientos de aplicaciones aceleradas en GPU, aún hay algoritmos científicos poco ... -
Optimización de ataques a redes complejas mediante un algoritmo de colonias de abejas artificiales
(Universidad de Salamanca, 2016)En los últimos años, ha crecido el interés en formular como un problema de optimización la tarea de concebir ataques efectivos que causen el máximo daño sobre redes complejas. En este caso, los ataques se modelan como ... -
Ordinal and nominal classication of wind speed from synoptic pressure patterns
(2017-01-18)Wind speed reconstruction is a challenging problem in areas (mainly wind farms) where there are not direct wind measures available. Di erent approaches have been applied to this reconstruction, such as measure-correlat ... -
Ordinal Prediction using machine learning methodologies: Applications
(Universidad de Córdoba, UCOPress, 2019)Artificial Intelligence is part of our everyday life, not only as consumers but also in most of the productive areas since companies can optimize most of their processes with all the different tools that it can provide. ... -
Ordinal regression methods: survey and experimental study
(2017-02-03)Abstract—Ordinal regression problems are those machine learning problems where the objective is to classify patterns using a categorical scale which shows a natural order between the labels. Many real-world applications ... -
Parallel evaluation of Pittsburgh rule-based classifiers on GPUs
(2017-01-19)Individuals from Pittsburgh rule-based classifiers represent a complete solution to the classification problem and each individual is a variable-length set of rules. Therefore, these systems usually demand a high level ...