72   Artículos

 
en línea
Haidi Badr, Nayer Wanas and Magda Fayek    
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wenny Hojas-Mazo, Francisco Maciá-Pérez, José Vicente Berná Martínez, Mailyn Moreno-Espino, Iren Lorenzo Fonseca and Juan Pavón    
Analysing message streams in a dynamic environment is challenging. Various methods and metrics are used to evaluate message classification solutions, but often fail to realistically simulate the actual environment. As a result, the evaluation can produce... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fahim Sufi    
In the face of escalating cyber threats that have contributed significantly to global economic losses, this study presents a comprehensive dataset capturing the multifaceted nature of cyber-attacks across 225 countries over a 14-month period from October... ver más
Revista: Information    Formato: Electrónico

 
en línea
Temidayo Oluwatosin Omotehinwa and David Opeoluwa Oyewola    
Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats to cybersecurity globally. More than half of the emails sent in 2021 were spam, resulting in huge financial losses. The tenacity and perpetual presence of the adv... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mohammad Tubishat, Feras Al-Obeidat, Ali Safaa Sadiq and Seyedali Mirjalili    
Spam emails have become a pervasive issue in recent years, as internet users receive increasing amounts of unwanted or fake emails. To combat this issue, automatic spam detection methods have been proposed, which aim to classify emails into spam and non-... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Ghizlane Hnini, Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy and Hamid Tairi    
Spammers have created a new kind of electronic mail (e-mail) called image-based spam to bypass text-based spam filters. Unfortunately, these images contain harmful links that can infect the user?s computer system and take a long time to be deleted, which... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius    
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Xuanyu Zhang, Hao Zhou, Ke Yu, Xiaofei Wu and Anis Yazidi    
In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. On the other hand, classical mach... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Malak Al-Hassan, Bilal Abu-Salih and Ahmad Al Hwaitat    
The lack of regulations and oversight on Online Social Networks (OSNs) has resulted in the rise of social spam, which is the dissemination of unsolicited and low-quality content that aims to deceive and manipulate users. Social spam can cause a range of ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Yehia Ibrahim Alzoubi, Ahmet E. Topcu and Ahmed Enis Erkaya    
The growth in textual data associated with the increased usage of online services and the simplicity of having access to these data has resulted in a rise in the number of text classification research papers. Text classification has a significant influen... ver más
Revista: Applied Sciences    Formato: Electrónico

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