Listar Departamento de Informática y Análisis Numérico por título
Mostrando ítems 79-98 de 254
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Deep learning techniques for ordinal spatial data and applications in medical imaging
(Universidad de Córdoba, UCOPress, 2024)This thesis navigates the intersection of deep learning and ordinal regression, aiming to address the challenges inherent in ordinal tasks, particularly within medical image diagnosis. The primary contributions unfold ... -
Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds
(MDPI, 2024)Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ... -
Democratization of advanced models for data science
(Universidad de Córdoba, UCOPress, 2024)En las últimas décadas, la mayoría de las empresas y organizaciones han generado y almacenado enormes cantidades de datos procedentes de diversas fuentes como transacciones financieras, interacciones con clientes, registros ... -
Desarrollo y aplicación de nuevos modelos de aprendizaje automático para el estudio del cáncer colorrectal
(Universidad de Córdoba, UCOPress, 2023)En la actualidad, en el ámbito sanitario, hay un interés creciente en la consideración de técnicas de Inteligencia Artificial, en concreto técnicas de Aprendizaje Automático o Machine Learning, que tan buenos resultados ... -
Design, Validity, and Reliability of a New Test, Based on an Inertial Measurement Unit System, for Measuring Cervical Posture and Motor Control in Children with Cerebral Palsy
(MDPI, 2020)Objective: The aim of this study was to design and propose a new test based on inertial measurement unit (IMU) technology, for measuring cervical posture and motor control in children with cerebral palsy (CP) and to evaluate ... -
Detecting People Looking at Each Other in Videos
(Springer Nature, 2013)The objective of this work is to determine if people are interacting in TV video by detecting whether they are looking at each other or not. We determine both the temporal period of the interaction and also spatially ... -
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm
(2017)This paper proposes a time series segmentation algorithm combining a clustering technique and a genetic algorithm to automatically find segments sharing common statistical characteristics in paleoclimate time series. The ... -
Determining the Difficulties of Students With Dyslexia via Virtual Reality and Artificial Intelligence: An Exploratory Analysis
(IEEE, 2022)Learning disorders are neurological conditions that affect the brain’s ability to interconnect communication areas. Dyslexic students experience problems with reading, memorizing, and exposing concepts; however the magnitude ... -
Diseño de sistemas de control multivariable mediante redes de desacoplo: aplicación al control de aerogeneradores
(Universidad de Córdoba, UCOPress, 2016)El control de los aerogeneradores es un área totalmente abierta y cambiante debido principalmente a los nuevos tipos de instalaciones utilizados desde hace pocos años. Cualquier resultado puede ser trasladado de forma ... -
Diseño y análisis de redes neuronales convolucionales ordinales: aplicaciones
(Universidad de Córdoba, UCOPress, 2023)En los últimos años, se están utilizando técnicas de aprendizaje profundo para mejorar diferentes procesos y resolver diferentes tareas del mundo real. El crecimiento exponencial del volumen de información generada por ... -
Dispositivo y método de captura y análisis de movimiento
(Oficina de Transferencia de Resultados de la Investigación, 2012)Esta patente hace referencia a un dispositivo y a un método destinados a la captura y al análisis de movimiento mediante vídeo, y más concretamente a su aplicación al análisis de datos del movimiento de pacientes afectados ... -
Distributed multi-label learning on Apache Spark
(Universidad de Córdoba, UCOPress, 2019)This thesis proposes a series of multi-label learning algorithms for classication and feature selection implemented on the Apache Spark distributed computing model. Five approaches for determining the optimal architecture ... -
Educational data mining and learning analytics: An updated survey
(Wiley, 2020)This survey is an updated and improved version of the previous one published in 2013 in this journal with the title “data mining in education”. It reviews in a comprehensible and very general way how Educational Data ... -
Efectos sobre la salud humana de los campos magnéticos y eléctricos de muy baja frecuencia
(Consejo Social de la Universidad de Córdoba, 2009) -
Effective Feature Selection Method for Class-Imbalance Datasets Applied to Chemical Toxicity Prediction
(American Chemical Society, 2021)During the drug development process, it is common to carry out toxicity tests and adverse effect studies, which are essential to guarantee patient safety and the success of the research. The use of in silico quantitative ... -
Effects of hypopressiveexercises on post-partum abdominal diastasis, trunk circumference and mechanical properties of abdominopelvic tissues: a case series
(Taylor & Francis, 2023)Background: Abdominal diastasis (AD) is highly prevalent at post-partum. Although several conservative approaches have been proposed, an effective and protocolized treatment is lacking for this condition. Objective: To ... -
Effects of Molecular Representation in Predicting the Biological Activity using SVM and PLS Approaches
(2014)In this work we study and analyze the behavior of different representational spaces for molecular activity prediction. Representational spaces based on fingerprint similarity, structural similarity using maximum ... -
Enfoques metodológicos para medir el efecto de la gamificación en la intención de uso del comercio electrónico: aplicación al mercado español
(Universidad de Córdoba, UCOPress, 2019)El empleo de elementos de diseño de juegos en contextos que no son de juego, es conocido como gamificación. Se trata de un fenómeno reciente y se presenta como una herramienta muy potente, la cual está siendo utilizada en ... -
Enhancing neuromorphic computing with advanced spiking neural network architectures
(Universidad de Córdoba, UCOPress, 2023)La computación neuromórfica (NC, del inglés neuromorphic computing) pretende revolucionar el campo de la inteligencia artificial. Implica diseñar e implementar sistemas electrónicos que simulen el comportamiento de las ... -
Entropy Volumes for Viewpoint Independent Gait Recognition
(2017-02-17)Gait as biometrics has been widely used for human identi cation. However, direction changes cause di culties for most of the gait recognition systems, due to appearance changes. This study presents an e cient multi-view ...