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Impacto de las emociones vertidas por diarios digitales en Twitter
(Profesional de la Información, 2020-09)
The use of Twitter by newspapers is widespread and is a way to keep readers informed in real time. In this article, we analyze the discourse of the messages released by the ten main general information newspapers in Spain ...
Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019
(Vaccines, 2021-01)
Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and ...
A systematic review of the effects of automatic scoring and automatic feedback in educational settings
(Institute of Electrical and Electronics Engineers Inc., 2021)
Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...
A real-life machine learning experience for predicting university dropout at different stages using academic data
(Institute of Electrical and Electronics Engineers Inc., 2021)
High levels of school dropout are a major burden on the educational and professional development of a country's inhabitants. A country's prosperity depends, among other factors, on its ability to produce higher education ...
Connection between sleeping patterns and cognitive deterioration in women with Alzheimer’s disease
(Springer Science and Business Media Deutschland GmbH, 2022)
Background: Alzheimer’s disease (AD) causes symptoms such as dementia, memory loss, disorientation, and even aggressiveness, and is more common in women than in men. AD may also manifest itself in changes in sleep patterns. ...
A new multi-label dataset for Web attacks CAPEC classification using machine learning techniques
(Computers & Security, 2022)
Context: There are many datasets for training and evaluating models to detect web attacks, labeling each request as normal or attack. Web attack protection tools must provide additional information on the type of attack ...
Measuring anomalies in cigarette sales using official data from Spanish provinces: Are the anomalies detected by the Empty Pack Surveys (EPSs) used by Transnational Tobacco Companies (TTCs) the only anomalies?
(Tobacco induced diseases, 2021)
INTRODUCTION There is a literature that questions the veracity of the studies commissioned by transnational tobacco companies (TTCs) to measure the illicit tobacco trade. Furthermore, there are studies that have indicated ...
CompareML: A Novel Approach to Supporting Preliminary Data Analysis Decision Making
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
There are a large number of machine learning algorithms as well as a wide range of libraries and services that allow one to create predictive models. With machine learning and artificial intelligence playing a major role ...
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...
Towards the Grade’s Prediction. A Study of Different Machine Learning Approaches to Predict Grades from Student Interaction Data
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
There is currently an open problem within the field of Artificial Intelligence applied to the educational field, which is the prediction of students’ grades. This problem aims to predict early school failure and dropout, ...