2 citations · 4 across the 3 of their papers we have counts for
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cs.LG2023★ 1 cited
Visual Knowledge Discovery with General Line Coordinates
Lincoln Huber, Boris Kovalerchuk, Charles Recaido
Understanding black-box Machine Learning methods on multidimensional data is a key challenge in Machine Learning. While many powerful Machine Learning methods already exist, these…
cs.LG2022★ 1 cited
Interpretable Machine Learning for Self-Service High-Risk Decision-Making
Charles Recaido, Boris Kovalerchuk
This paper contributes to interpretable machine learning via visual knowledge discovery in general line coordinates (GLC). The concepts of hyperblocks as interpretable dataset unit…