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Youmna Abdelwahab, Mohamed Kholief and Ahmed Ahmed Hesham Sedky
With the increasing use of machine learning across various fields to address several aims and goals, the complexity of the ML and Deep Learning (DL) approaches used to provide solutions has also increased. In the last few years, Explainable AI (XAI) meth...
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Behnam Behforouz,Anca Daniela Frumuselu
Pág. pp. 88 - 104
This paper investigates the efficiency of using text messaging in the EFL reading classroom at the Islamic Azad University-South Tehran Branch, Iran. After the administration of an Oxford Placement Test (OPT), 74 participants who scored one standard devi...
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Tian Xia and Xuemin Chen
Many machine learning methods have been applied for short messaging service (SMS) spam detection, including traditional methods such as naïve Bayes (NB), vector space model (VSM), and support vector machine (SVM), and novel methods such as long short-ter...
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Arthur M. Jacobs and Annette Kinder
In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and ...
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Seyed Mohammad Hashemi, Ruxandra Mihaela Botez and Teodor Lucian Grigorie
Two main factors, including regression accuracy and adversarial attack robustness, of six trajectory prediction models are measured in this paper using the traffic flow management system (TFMS) public dataset of fixed-wing aircraft trajectories in a spec...
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