Search Results for author:
Found 2 papers, 0 papers with code
Efficient Malware Analysis Using Metric Embeddings
In this paper, we explore the use of metric learning to embed Windows PE files in a low-dimensional vector space for downstream use in a variety of applications, including malware detection, family classification, and malware attribute tagging.
A machine learning approach to using Quality-of-Life patient scores in guiding prostate radiation therapy dosing
A convolutional neural network then analyzed the relationship between patient-reported quality-of-life and radiation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
