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Mostrando ítems 81-90 de 96
Text mining in education
(Wiley, 2019)
The explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges ...
Subgroup Discovery in MOOCs: A Big Data Application for Describing Different Types of Learners
(Taylor & Francis, 2019)
The aim of this paper is to categorize and describe di erent types of learners in mas-
sive open online courses (MOOCs) by means of a subgroup discovery approach based
on MapReduce. The nal objective is to discover ...
A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children
(Elsevier, 2019)
This paper describes a holographic mobile-based application designed to help Spanish-speaking children to practice the pronunciation of basic English vocabulary words. The mastery of vocabulary is a fundamental step when ...
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation
(Elsevier, 2019)
This paper proposes new methods based on time series segmentation, including the adaptation of the particle swarm optimisation algorithm (PSO) to this problem, and more advanced PSO versions, such as barebones PSO (BBPSO) ...
A general framework for boosting feature subset selection algorithms
(Elsevier, 2018)
Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ...
Higher education institutions to promote a lifelong learning strategy
(IATED, 2019)
In today’s society students and graduates are demanded to be equipped with two fundamental attitudes.
The first is being active learners enrolled in all different activities related to Active Learning that have
place at ...
An Extended Approach of a Two-Stage Evolutionary Algorithm in Artificial Neural Networks for Multiclassification Tasks
(Springer, 2016)
This chapter considers a recent algorithm to add broader diversity at the beginning of the evolutionary process and extends it to sigmoidal neural networks. A simultaneous evolution of architectures and weights is performed ...
A two-stage algorithm in evolutionary product unit neural networks for classification
(Elsevier, 2011)
This paper presents a procedure to add broader diversity at the beginning of the evolutionary process. It consists of creating two initial populations with different parameter settings, evolving them for a small number of ...
Multifractal detrended fluctuation analysis of sheep livestock prices in origin
(Elsevier, 2013)
The multifractal detrended fluctuation analysis (MF-DFA) is used to verify whether or not the returns of time series of prices paid to farmers in original markets can be described by the multifractal approach. By way of ...
Análisis del nivel de atención de los alumnos en clase utilizando NeuroSky’s MindWave Mobile
(UCOPress, 2018)
Este artículo describe un software en Android específico para el dispositivo NeuroSky’s MindWave Mobile, con el que poder medir el nivel de atención de los estudiantes de grado en informática durante las sesiones tradicionales ...