73 citations · 77 across the 13 of their papers we have counts for
13 papers
RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control
Noah Perry, Norman Matloff, Patrick Tendick
A novel variation of the data swapping approach to statistical disclosure control is presented, aimed particularly at preservation of multivariate relations in the original dataset…
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning
Norman Matloff
The old empathetic adage, ``Walk a mile in their shoes,'' asks that one imagine the difficulties others may face. This suggests a new ML counterfactual fairness criterion, based on…
A Novel Regularization Approach to Fair ML
Norman Matloff, Wenxi Zhang
A number of methods have been introduced for the fair ML issue, most of them complex and many of them very specific to the underlying ML moethodology. Here we introduce a new appro…
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks
Yu-Shih Chen, Melissa Goh, Norm Matloff
One of the most celebrated achievements of modern machine learning technology is automatic classification of images. However, success is typically achieved only with major computat…
Polynomial Regression As an Alternative to Neural Nets
Xi Cheng, Bohdan Khomtchouk, Norman Matloff +1
Despite the success of neural networks (NNs), there is still a concern among many over their "black box" nature. Why do they work? Here we present a simple analytic argument that N…
Top-Frequency Parallel Coordinates Plots
Vincent Yang, Harrison Nguyen, Norman Matloff +1
Parallel coordinates plotting is one of the most popular methods for multivariate visualization. However, when applied to larger data sets, there tends to be a "black screen proble…