Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 220-239 of 334
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Nearest neighbor-based approaches for multi-instance multi-label classification
(Elsevier, 2023)Nearest neighbor-based methods are classic techniques that, due to their efficiency, still are widely used today. However, they have not been broadly applied to solve the multi-instance multi-label (MIML) problem, a ... -
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 ... -
On the use of information fusion techniques to improve information quality: Taxonomy, opportunities and challenges
(Elsevier, 2022)The information fusion field has recently been attracting a lot of interest within the scientific community, as it provides, through the combination of different sources of heterogeneous information, a fuller and/or more ... -
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques
(Elsevier, 2023)In this paper we have tackled the problem of long-term air temperature prediction with eXplainable Artificial Intelligence (XAI) models. Specifically, we have evaluated the performance of an Artificial Neural Network (ANN) ... -
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 ... -
ORCA: A Matlab/Octave Toolbox for Ordinal Regression
(MIT Press, 2019)Ordinal regression, also named ordinal classification, studies classification problems where there exist a natural order between class labels. This structured order of the labels is crucial in all steps of the learning ... -
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. ...