1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization
Boris Kovalerchuk, Elijah McCoy
Building accurate and interpretable Machine Learning (ML) models for heterogeneous/mixed data is a long-standing challenge for algorithms designed for numeric data. This work focus…
cs.LG2022
Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery
Boris Kovalerchuk, Elijah McCoy
Developing Machine Learning (ML) algorithms for heterogeneous/mixed data is a longstanding problem. Many ML algorithms are not applicable to mixed data, which include numeric and n…