Browsing Departamento de Ciencia de la Computación e Inteligencia Artificial by Title
Now showing items 227-246 of 404
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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 ... -
Label repopulation through evolutionary computation for addressing challenging multilabel problems
(Elsevier, 2025)Multilabel classification has recently attracted considerable attention from the research community in data mining. Multilabel classification is concerned with learning where each instance can be associated with multiple ... -
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 ... -
Leveraging Machine Learning Techniques to Investigate Media and Information Literacy Competence in Tackling Disinformation
(MDPI, 2025)This study develops machine learning models to assess Media and Information Literacy (MIL) skills specifically in the context of disinformation among students, particularly future educators and communicators. While the ... -
Leveraging Virtual Reality and Technological Tools to Enhance Sign Language Education in Healthcare Competences
(IEEE, 2026)There is a critical need for structured educational interventions that equip healthcare professionals with the skills and empathy required to effectively communicate with deaf and hard-of-hearing individuals. Despite ... -
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 ... -
LiDAR as a Geometric Prior: Enhancing Camera Pose Tracking Through High-Fidelity View Synthesis
(MDPI, 2025)This paper presents a robust framework for monocular camera pose estimation by leveraging high-fidelity, pre-built 3D LiDAR maps. The core of our approach is a render-and-match pipeline that synthesizes photorealistic views ... -
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 ... -
Long-term temperature prediction with hybrid autoencoder algorithms
(Elsevier, 2024)This paper proposes two hybrid approaches based on Autoencoders (AEs) for long-term temperature prediction. The first algorithm comprises an AE trained to learn temperature patterns, which is then linked to a second AE, ... -
Machine Learning Algorithms in Controlled Donation After Circulatory Death Under Normothermic Regional Perfusion: A Graft Survival Prediction Model
(Wolters Kluwer, 2025)Background Several scores have been developed to stratify the risk of graft loss in controlled donation after circulatory death (cDCD). However, their performance is unsatisfactory in the Spanish population, where most ... -
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 ... -
Mathematical study of the movement of solar tracking systems based on rational models
(Elsevier, 2017)This paper presents the analytical deduction of generic and unified equations of the movement of solar tracking systems. These equations reproduce published equations, which only consider the sun position, or the equations ... -
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, ...