5 papers
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning
Casey Kneale, Kolia Sadeghi
On the path to establishing a global cybersecurity framework where each enterprise shares information about malicious behavior, an important question arises. How can a machine lear…
Band Target Entropy Minimization and Target Partial Least Squares for Spectral Recovery and Calibration
Casey Kneale, Steven D. Brown
The resolution and calibration of pure spectra of minority components in measurements of chemical mixtures without prior knowledge of the mixture is a challenging problem. In this…
Uncharted Forest a Technique for Exploratory Data Analysis
Casey Kneale, Steven D. Brown
Exploratory data analysis is crucial for developing and understanding classification models from high-dimensional datasets. We explore the utility of a new unsupervised tree ensemb…
Numerical Optimization of Material Configurations for the Development of Surface Plasmon Resonance Devices
Casey Kneale, Karl S. Booksh
Various metals (Ag, Al, Au, Bi, Cu), polymers (polyvinylpyrrolidone, polystyrene), and electrically conductive polymers (polyacetylene, polyaniline, poly(3,4-ethylenedioxythiophene…
Effective Calibration Transfer via Möbius and Affine Transformations
Casey Kneale, Karl S. Booksh
A novel technique for calibration transfer called the Modified Four Point Interpolant (MFPI) method is introduced for near infrared spectra. The method is founded on physical intui…