This study presents an evidence-informed systematic review and research-readiness taxonomy for culturally aware Malay-English hate speech detection and critically evaluates existing studies based on dataset availability, code-mix authenticity, annotation practice, cultural sensitivity, model architecture, evaluation st...
F. Azmi, Normaisharah Mamat, Rawad Abdulghafor et al.· IEEE Access· 0 citations
It is indicated that integrating static and dynamic features at the representation level can improve robustness and classification performance in image-based malware detection, particularly under variations in feature availability.
Anis Elgarduh, A. Zainal, Fuad A. Ghaleb et al.· IEEE Access· 0 citations
A hybrid detection framework is proposed that integrates a Random Forest classifier with an unsupervised anomaly detection model based on a deep autoencoder combined through a Logistic Regression metaclassifier that addresses the gap in single-model detectors that either rely on fixed decision boundaries that struggle...
A. Albarrak, Fuad A. Ghaleb, Sultan Noman Qasem et al.· Italian National Conference...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.