Random CapsNet Forest Model for Imbalanced Malware Type Classification Task

20 December 2019

Papers citing "Random CapsNet Forest Model for Imbalanced Malware Type Classification Task"

5 / 5 papers shown

Title
Security through the Eyes of AI: How Visualization is Shaping Malware Detection Matteo Brosolo A. Aazami R. Agarwal M. Prabhakaran S. Nicolazzo Antonino Nocera V. P. AAML 34 0 0 12 May 2025
Neighbor displacement-based enhanced synthetic oversampling for multiclass imbalanced data I Made Putrama Peter Martinek 33 0 0 07 Jan 2025
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification Daniel Gibert Carles Mateu Jordi Planes Quan Le AAML 32 48 0 12 Jun 2022
An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification Ferhat Demirkiran Aykut Çayır U. Ünal Hasan Dag 38 42 0 25 Dec 2021
Deep learning at the shallow end: Malware classification for non-domain experts Quan Le Oisín Boydell Brian Mac Namee Mark Scanlon 78 172 0 22 Jul 2018