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Found 7 papers, 1 papers with code
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization
One of the challenges in constructing a KG from scientific literature is the extraction of ontology from unstructured text.
Interactive Distillation of Large Single-Topic Corpora of Scientific Papers
Given a small initial "core" corpus of papers, we build a citation network of documents.
MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
Here we introduce and showcase preliminary capabilities of a new method that can perform precise identification of novel malware families, while also unifying the capability for malware/benign-ware classification and malware family classification into a single framework.
SeNMFk-SPLIT: Large Corpora Topic Modeling by Semantic Non-negative Matrix Factorization with Automatic Model Selection
As the amount of text data continues to grow, topic modeling is serving an important role in understanding the content hidden by the overwhelming quantity of documents.
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Non-negative matrix factorization (NMF) with missing-value completion is a well-known effective Collaborative Filtering (CF) method used to provide personalized user recommendations.
COVID-19 Multidimensional Kaggle Literature Organization
The unprecedented outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), or COVID-19, continues to be a significant worldwide problem.
Evading Malware Classifiers via Monte Carlo Mutant Feature Discovery
The use of Machine Learning has become a significant part of malware detection efforts due to the influx of new malware, an ever changing threat landscape, and the ability of Machine Learning methods to discover meaningful distinctions between malicious and benign software.
