Listar DIAN-Artículos, capítulos... por título
Mostrando ítems 40-59 de 189
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Artificial intelligence to automate the systematic review of scientific literature
(Springer, 2023)Artificial intelligence (AI) has acquired notorious relevance in modern computing as it effectively solves complex tasks traditionally done by humans. AI provides methods to represent and infer knowledge, efficiently ... -
Assessing polygonal approximations: A new measurement and a comparative study
(Elsevier, 2023)Two proposals related to the evaluation of polygonal approximations are presented in this document. First, a new measurement, called normalized compression ratio and adjustment error (NCA), to provide a fair evaluation of ... -
Assignments as Influential Factor to Improve the Prediction of Student Performance in Online Courses
(MDPI, 2021)Studies on the prediction of student success in distance learning have explored mainly demographics factors and student interactions with the virtual learning environments. However, it is remarkable that a very limited ... -
Asymmetries of the Muscle Mechanical Properties of the Pelvic Floor in Nulliparous and Multiparous Women, and Men: A Cross-Sectional Study
(MDPI, 2022)This study aimed to identify if the muscle mechanical properties (MMPs) of both sides of pelvic floor muscles (PFMs) are symmetrical in different populations of both sexes. Between-sides comparisons of MMPs of PFMs, assessed ... -
AttenGait: Gait recognition with attention and rich modalities
(Elsevier, 2024)Current gait recognition systems employ different types of manual attention mechanisms, like horizontal cropping of the input data to guide the training process and extract useful gait signatures for people identification. ... -
Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
(Elsevier, 2022)Multi-label classification has been used to solve a wide range of problems where each example in the dataset may be related either to one class (as in traditional classification problems) or to several class labels at the ... -
Automatic learning of gait signatures for people identification
(2017-12-05)This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of ... -
Autómatas celulares y aplicaciones
(FISEM, 2016)Un autómata celular es un modelo matemático para un sistema dinámico que evoluciona en pasos discretos. Este trabajo presenta una aplicación de los autómatas celulares para el cifrado de información y el reparto de secretos. ... -
BiViCyT: Biblioteca Virtual de Documentos Científicos y Técnicos
(Universidad de Córdoba, Vicerrectorado de Innovación y Calidad Docente, 2003)In this paper a Web information system devoted to the administration of scientific and technicians documents that are produced by the university community is presented. BiViCyT allows the management of tha administrative ... -
Borderline kernel based over-sampling
(2017-03-30)Nowadays, the imbalanced nature of some real-world data is receiving a lot of attention from the pattern recognition and machine learning communities in both theoretical and practical aspects, giving rise to di erent ... -
Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
(MDPI, 2021)Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ... -
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 ... -
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 ...