[HTML][HTML] A hybrid correlation-based deep learning model for email spam classification using fuzzy inference system

FE Ayo, LA Ogundele, S Olakunle, JB Awotunde… - Decision Analytics …, 2024 - Elsevier
Spam emails are unwanted and unsolicited messages. The major problems in email spam
detection methods are low detection rates and a high likelihood of false alarms. This study …

A combined negative selection algorithm–particle swarm optimization for an email spam detection system

I Idris, A Selamat, NT Nguyen, S Omatu… - … applications of artificial …, 2015 - Elsevier
Email is a convenient means of communication throughout the entire world today. The
increased popularity of email spam in both text and images requires a real-time protection …

Towards sms spam filtering: Results under a new dataset

T Almeida, JM Hidalgo, T Silva - International Journal of Information …, 2013 - dergipark.org.tr
The growth of mobile phone users has lead to a dramatic increasing of SMS spam
messages. Recent reports clearly indicate that the volume of mobile phone spam is …

Hybrid email spam detection model using artificial intelligence

S Douzi, FA AlShahwan… - International …, 2020 - napier-repository.worktribe.com
The growing volume of spam Emails has generated the need for a more precise anti-spam
filter to detect unsolicited Emails. One of the most common representations used in spam …

On the validity of a new SMS spam collection

JMG Hidalgo, TA Almeida… - 2012 11th International …, 2012 - ieeexplore.ieee.org
Mobile phones are becoming the latest target of electronic junk mail. Recent reports clearly
indicate that the volume of SMS spam messages are dramatically increasing year by year …

GT2FS-SMOTE: An intelligent oversampling approach based upon general type-2 fuzzy sets to detect web spam

P Kaur, A Gosain - Arabian Journal for Science and Engineering, 2021 - Springer
With the growing internet, web spam is also increasing, which majorly affect the user
experiences with search engines. Web spam methods target the search engine's internal …

Towards filtering undesired short text messages using an online learning approach with semantic indexing

RM Silva, TC Alberto, TA Almeida… - Expert Systems with …, 2017 - Elsevier
The popularity and reach of short text messages commonly used in electronic
communication have led spammers to use them to propagate undesired content. This is …

Sms spam filtering using probabilistic topic modelling and stacked denoising autoencoder

N Al Moubayed, T Breckon, P Matthews… - … Neural Networks and …, 2016 - Springer
In This paper we present a novel approach to spam filtering and demonstrate its applicability
with respect to SMS messages. Our approach requires minimum features engineering and a …

Robustness and stability of enterprise intranet social networks: The impact of moderators

AF Colladon, F Vagaggini - Information Processing & Management, 2017 - Elsevier
In this study, we tested the robustness of three communication networks extracted from the
online forums included in the intranet platforms of three large companies. For each company …

ML-MDLText: An efficient and lightweight multilabel text classifier with incremental learning

MM Bittencourt, RM Silva, TA Almeida - Applied Soft Computing, 2020 - Elsevier
Single-label text classification has been extensively studied in the last decades, and usually,
more attention has been given to offline learning scenarios, where all of the training data is …