Explainable ML

Hierarchical clustering: visualization, feature importance and model selection
We propose methods for the analysis of hierarchical clustering that fully use the multi-resolution structure provided by a dendrogram. …
L. M. C. Cabezas, Rafael Izbicki, R. B. Stern
February, 2023 Applied Soft Computing Journal
Preprint
NLS: An accurate and yet easy-to-interpret prediction method
Over the last years, the predictive power of supervised machine learning (ML) has undergone impressive advances, achieving the status …
V. Coscrato, M. H. A. Inacio, T. Botari, Rafael Izbicki
January, 2023 Neural Networks
Preprint PDF
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space
As machine learning becomes an important part of many real world applications affecting human lives, new requirements, besides high …
T. Botari, Rafael Izbicki, A. C. P. L. F. Carvalho
January, 2020 Communications in Computer and Information Science
Preprint