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Found 6 papers, 0 papers with code
Semisupervised Adversarial Neural Networks for Cyber Security Transfer Learning
On the path to establishing a global cybersecurity framework where each enterprise shares information about malicious behavior, an important question arises.
Uncharted Forest a Technique for Exploratory Data Analysis
We display the advantages and limitations of using this technique by applying it to two classification datasets and three provenance study datasets.
Band Target Entropy Minimization and Target Partial Least Squares for Spectral Recovery and Calibration
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.
Small Moving Window Calibration Models for Soft Sensing Processes with Limited History
It was found that, on two of the datasets studied, small window sizes led to the lowest prediction errors for all of the moving window methods studied.
Robust Particle Swarm Optimizer based on Chemomimicry
A particle swarm optimizer (PSO) loosely based on the phenomena of crystallization and a chaos factor which follows the complimentary error function is described.
Optimized Spatial Partitioning via Minimal Swarm Intelligence
Optimized spatial partitioning algorithms are the corner stone of many successful experimental designs and statistical methods.
