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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 ...
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer-Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
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 ...
Mining Pre-Grade Academic and Demographic Data to Predict University Dropout
(Springer Science and Business Media Deutschland GmbH, 2021)
Digital transformation is enabling institutions to enhance their processes by using data and technology. In education, digital transformation allows improving the learning experience as well as the institution processes. ...
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 ...
Introduction to the special section on advances of machine learning in cybersecurity (VSI-mlsec)
(Computers and Electrical Engineering, 2022)
With the rapid advancement of emerging technologies, such as Internet of Things (IoT), cloud computing, and many more, a huge amount of data is generated and processed in daily life. As these technologies are based on the ...
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 ...