Listar Departamento de Informática y Análisis Numérico por título
Mostrando ítems 71-90 de 254
-
Cooperative coevolution of artificial neural network ensembles for pattern classification
(IEEE, 2005)This paper presents a cooperative coevolutive approach for designing neural network ensembles. Cooperative coevolution is a recent paradigm in evolutionary computation that allows the effective modeling of cooperative ... -
Cooperative coevolutionary instance selection for multilabel problems
(Elsevier, 2021)Multilabel classification as a data mining task has recently attracted greater research interest. Many current data mining applications address problems having instances that belong to more than one class, which requires ... -
Cost-effective techniques for patient positioning in percutaneous radiotherapy using optical imaging systems
(Universidad de Córdoba, UCOPress, 2021)Patient positioning is an important part of radiation therapy which is one of the main solutions for the treatment of malignant tissue in the human body. Currently, the most common patient positioning methods expose healthy ... -
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns
(Springer, 2022)To provide a good study plan is key to avoid students’ failure. Academic advising based on student’s preferences, complexity of the semester, or even background knowledge is usually considered to reduce the dropout rate. ... -
COVNET : A cooperative coevolutionary model for evolving artificial neural networks
(IEEE, 2003)This paper presents COVNET, a new cooperative coevolutionary model for evolving artificial neural networks. This model is based on the idea of coevolving subnetworks. that must cooperate to form a solution for a specific ... -
CRIBEL: Lifelong learning social network governed by academic institutions: an affordable serverless model in the cloud
(IATED, 2023)Academic institutions, teachers, students and workers are facing important changes in the way they organise work and training in new skills demanded by companies in the face of the new challenges of society in general ... -
Crossroads in Liver Transplantation: Is Artificial Intelligence the Key to Donor–Recipient Matching?
(MDPI, 2022)Liver transplantation outcomes have improved in recent years. However, with the emergence of expanded donor criteria, tools to better assist donor–recipient matching have become necessary. Most of the currently proposed ... -
Cumulative exposure to tacrolimus and incidence of cancer after liver transplantation
(Wiley, 2022)Cancer is the leading cause of death after liver transplantation (LT). This multicenter case–control nested study aimed to evaluate the effect of maintenance immunosuppression on post-LT malignancy. The eligible cohort ... -
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 ...