23 citations · 186 across the 67 of their papers we have counts for
16 papers · 1 filter
Runway Extraction and Improved Mapping from Space Imagery
David A. Noever
Change detection methods applied to monitoring key infrastructure like airport runways represent an important capability for disaster relief and urban planning. The present work id…
Color Teams for Machine Learning Development
Josh Kalin, David Noever, Matthew Ciolino
Machine learning and software development share processes and methodologies for reliably delivering products to customers. This work proposes the use of a new teaming construct for…
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity
Erik Larsen, David Noever, Korey MacVittie
A survey of machine learning techniques trained to detect ransomware is presented. This work builds upon the efforts of Taylor et al. in using sensor-based methods that utilize dat…
POSSE: Patterns of Systems During Software Encryption
David Noever, Samantha Miller Noever
This research recasts ransomware detection using performance monitoring and statistical machine learning. The work builds a test environment with 41 input variables to label and co…
Puzzle Solving without Search or Human Knowledge: An Unnatural Language Approach
David Noever, Ryerson Burdick
The application of Generative Pre-trained Transformer (GPT-2) to learn text-archived game notation provides a model environment for exploring sparse reward gameplay. The transforme…
Overhead-MNIST: Machine Learning Baselines for Image Classification
Erik Larsen, David Noever, Korey MacVittie +1
Twenty-three machine learning algorithms were trained then scored to establish baseline comparison metrics and to select an image classification algorithm worthy of embedding into…