Highly specific datasets of scientific literature are important for both research and education. However, it is difficult to build such datasets at scale. A common approach is to build these datasets reductively by applying topic modeling on an …
Malware is one of the most dangerous and costly cyber threats to national security and a crucial factor in modern cyber-space. However, the adoption of machine learning (ML) based solutions against malware threats has been relatively slow. …
Malware is one of the most dangerous and costly cyber threats to organizations, the public, and national security, and a crucial factor in modern warfare. The adoption of ML-based solutions against malware threats has been relatively slow despite the …
Malware is one of the most dangerous and costly cyber threats to organizations, the public, and national security, and a crucial factor in modern warfare. The adoption of ML-based solutions against malware threats has been relatively slow despite the …
Topic modeling is one of the key analytic techniques for organizing and analysis of large text corpora. One approach to topic modeling is the recently introduced SeNMFk, a method based on semantic non-negative matrix factorization (NMF) with …