Explainable machine learning in cybersecurity: A survey

F Yan, S Wen, S Nepal, C Paris… - International Journal of …, 2022 - Wiley Online Library
Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as
they can quickly analyse and identify different types of threats from millions of events. In spite …

An Evolutionary Multitasking Method for Multiclass Classification [Research Frontier]

F Cheng, C Zhang, X Zhang - IEEE Computational Intelligence …, 2022 - ieeexplore.ieee.org
As an important research topic of machine learning, multiclass classification has wide
applications ranging from computer vision to bioinformatics. A variety of multiclass …

The Development of Social Media Intelligence System for Citizen Opinion and Perception Analysis over Government Policy

M Habibi, MR Ma'arif, D Subekti - Telematika: Jurnal Informatika …, 2022 - jurnal.upnyk.ac.id
In Indonesia, community involvement in development planning and public policy has
generally been carried out but limitedly. Social media uploads regarding public perceptions …

Intrusion Detection Using Support Vector Machine and Artificial Neural Network

G Srivani, S Badugu - … Intelligent Computing and Applications, Volume 1 …, 2022 - Springer
With the rapid development of information technology in the past two decades, computer
networks are widely used by industry, business and various fields of the human life. There …

Εντοπισμός ψευδών ειδήσεων σε ελληνικά και αγγλικά κείμενα με χρήση αλγορίθμων μηχανικής μάθησης

Θ Τζιμούρτας - 2022 - polynoe.lib.uniwa.gr
Στην σημερινή εποχή, τόσο στα μέσα κοινωνικής δικτύωσης όσο και στα ειδησεογραφικά
άρθρα εφημερίδων, υπάρχει μια σημαντική άνοδος των ψευδών ειδήσεων. Σε μια εποχή που …