Efficient spam and phishing emails filtering based on deep learning

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

(2020) Bilge Kagan Dedeturk et al.   APPLIED SOFT COMPUTING

Unsupervised feature learning for spam email filtering

(2019) Melvin Diale et al.   COMPUTERS & ELECTRICAL ENGINEERING

Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things

(2019) Geethapriya Thamilarasu et al.   SENSORS

Long short-term memory-based Malware classification method for information security

(2019) Jungho Kang et al.   COMPUTERS & ELECTRICAL ENGINEERING

Feature selection through binary brain storm optimization

(2018) João P. Papa et al.   COMPUTERS & ELECTRICAL ENGINEERING

A survey on feature selection methods

(2013) Girish Chandrashekar et al.   COMPUTERS & ELECTRICAL ENGINEERING