Listar DIAN-Artículos, capítulos... por título
Mostrando ítems 51-70 de 192
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Cifrado de imágenes y Matemáticas
(Universidad Nacional de La Plata, 2011)Un tema que debe interesar al profesorado de Matemáticas de todos los niveles educativos es cómo hacer comprender a nuestros alumnos la utilidad de los conceptos matemáticos que están estudiando en nuestras asignaturas. ... -
Una clase de aritmética modular, matrices y cifrado para Ingeniería
(Federación Iberoamericana de Educación Matemática (FISEM), 2011)El Álgebra Lineal tiene una gran cantidad de aplicaciones sin embargo se suele abordar casi siempre de una forma bastante abstracta a nivel universitario. Así que para motivar a nuestro alumnado planificamos realizar ... -
A Classification Module for Genetic Programming Algorithms in JCLEC
(MIT Press, 2014)JCLEC-Classi cation is a usable and extensible open source library for genetic program- ming classi cation algorithms. It houses implementations of rule-based methods for clas- si cation based on genetic programming, ... -
Classification Rule Mining with Iterated Greedy
(2017-03-30)In the context of data mining, classi cation rule discovering is the task of designing accurate rule based systems that model the useful knowledge that di erentiate some data classes from others, and is present in large ... -
Comparing Evolutionary Algorithms and Particle Filters for Markerless Human Motion Capture
(Elsevier, 2014)Markerless Human Motion Capture is the problem of determining the joints’ angles of a three-dimensional articulated body model that best matches current and past observations acquired by video cameras. The problem of ... -
Concurrent Validity and Reliability of an Inertial Measurement Unit for the Assessment of Craniocervical Range of Motion in Subjects with Cerebral Palsy
(MDPI, 2020)Objective: This study aimed to determine the validity and reliability of Inertial Measurement Units (IMUs) for the assessment of craniocervical range of motion (ROM) in patients with cerebral palsy (CP). Methods: twenty-three ... -
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 ... -
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 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 ... -
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 ... -
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 ...