Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 182-201 of 334
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Keypoint descriptor fusion with Dempster-Shafer Theory
(2017)Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and ... -
LAIM discretization for multi-label data
(2017)Multi-label learning is a challenging task in data mining which has attracted growing attention in recent years. Despite the fact that many multi-label datasets have continuous features, general algorithms developed specially ... -
Large-Scale Indoor Camera Positioning Using Fiducial Markers
(MDPI, 2024)Estimating the pose of a large set of fixed indoor cameras is a requirement for certain applications in augmented reality, autonomous navigation, video surveillance, and logistics. However, accurately mapping the positions ... -
Leveraging machine learning and mechanistic models to accelerate therapeutic target discovery and drug repositioning
(Universidad de Córdoba, UCOPress, 2024)In the current landscape of biomedical research, identifying therapeutic targets and repositioning drugs represent critical challenges, particularly in the context of rare or emergent diseases marked by a lack of resources ... -
Librería para el procesamiento de señales digitales con computadora
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2004)In this work the basic characteristics of the development and the functionality of a specific software are exposed for the teaching in any matter that includes among their contents the "digital signal processing". The ... -
Local-based k values for multi-label k-nearest neighbors rule
(Elsevier, 2022)Multi-label learning is a growing field in machine learning research. Many applications address instances that simultaneously belong to many categories, which cannot be disregarded if optimal results are desired. Among the ... -
Machine Learning Methods for Binary and Multiclass Classification of Melanoma Thickness From Dermoscopic Images
(IEEE, 2015)Thickness of the melanoma is the most important factor associated with survival in patients with melanoma. It is most commonly reported as a measurement of depth given in millimeters (mm) and computed by means of pathological ... -
Machine learning regression and classification methods for fog events prediction
(Elsevier, 2022)Atmospheric low-visibility events are usually associated with fog formation. Extreme low-visibility events deeply affect the air and ground transportation, airports and motor-road facilities causing accidents and traffic ... -
Mapping and localization from planar markers
(Elsevier, 2018)Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of them for which their relative pose is known ... -
Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis
(MDPI, 2020)Portable inertial measurement units (IMUs) are beginning to be used in human motion analysis. These devices can be useful for the evaluation of spinal mobility in individuals with axial spondyloarthritis (axSpA). The ... -
Mejora en el descubrimiento de modelos de minería de procesos en educación mediante agrupación de datos de interacción con la plataforma Moodle
(Universidad de Córdoba, UCOPress, 2018)El desarrollo de la integración entre tecnología y sistemas de aprendizaje, nos permiten capturar todos las acciones que realizan los estudiantes cuando interactúan con los entornos de aprendizaje virtuales. Estas plataformas ... -
Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules
(MDPI, 2021)Skin cancer is one of the most common types of cancers in the world, with melanoma being the most lethal form. Automatic melanoma diagnosis from skin images has recently gained attention within the machine learning community, ... -
Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients
(2017-02-17)In liver transplantation, matching donor and recipient is a problem that can be solved using machine learning techniques. In this paper we consider a liver transplant dataset obtained from eleven Spanish hospitals, ... -
Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes
(2015-10-08)The main objective of this work is to automatically design neural network models with sigmoidal basis units for classification tasks, so that classifiers are obtained in the most balanced way possible in terms of CCR ... -
Metodología de Evaluación y Gestión del Conocimiento dinámico por procesos utilizando como soporte TIC el Entorno Colaborativo de Trabajo basado en el modelo de creación de Conocimiento de Nonaka-Takeuchi. Caso de estudio en el área de Gestión de proyectos de I+D+i en institución avanzada en Conocimiento
(Universidad de Córdoba, Servicio de Publicaciones, 2014)Son varios los aspectos que se plantean en torno a la Gestión del Conocimiento. En primera instancia esta la necesidad de las organizaciones por preservar su conocimiento y dar continuidad a sus procesos más críticos. ... -
MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning
(Elsevier, 2022)MIML library is a Java software tool to develop, test, and compare classification algorithms for multi-instance multi-label (MIML) learning. The library includes 43 algorithms and provides a specific format and facilities ... -
Minería de datos educativos para la detección de recursos clave
(UCOPress, 2017)Este artículo describe un proyecto de innovación educativa centrado en diseñar y desarrollar un nuevo módulo de Moodle que permita obtener modelos predictivos basados en árboles de decisión a partir de los datos de uso ... -
Minería de datos mediante programación automática con colonias de hormigas
(Universidad de Córdoba, Servicio de Publicaciones, 2013)La presente tesis doctoral supone el primer acercamiento de la metaheur stica de programaci on autom atica mediante colonias de hormigas (Ant Programming) a tareas de miner a de datos. Esta t ecnica de aprendizaje autom ... -
Minería de datos sobre objetos de aprendizaje
(Universidad de Córdoba, UCOPress, 2020)La reutilización es uno de los conceptos clave dentro de ingeniería del software, ya que permite racionalizar y agilizar el desarrollo de sistemas basándose en el aprovechamiento de componentes ya desarrollados y probados. ... -
Mixing body-parts model for 2D human pose estimation in stereo videos
(Institution of Engineering and Technology, 2017)This study targets 2D articulated human pose estimation (i.e. localisation of body limbs) in stereo videos. Although in recent years depth-based devices (e.g. Microsoft Kinect) have gained popularity, as they perform very ...