1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition
Alex Glushkovsky
The research paper addresses linear decomposition of time series of non-additive metrics that allows for the identification and interpretation of contributing factors (input featur…
cs.LG2021
Designing Complex Experiments by Applying Unsupervised Machine Learning
Alex Glushkovsky
Design of experiments (DOE) is playing an essential role in learning and improving a variety of objects and processes. The article discusses the application of unsupervised machine…
cs.LG2020★ 1 cited
AI Giving Back to Statistics? Discovery of the Coordinate System of Univariate Distributions by Beta Variational Autoencoder
Alex Glushkovsky
Distributions are fundamental statistical elements that play essential theoretical and practical roles. The article discusses experiences of training neural networks to classify un…