Software Engineering Patterns for Machine Learning Applications (SEP4MLA) – Part 5 – Explainable Proxy Model, accepted for PLoP 2023

Hironori Washizaki, Foutse Khomh, Yann-Gaël Guéhéneuc, Hironori Takeuchi, Satoshi Okuda, Naotake Natori, “Software Engineering Patterns for Machine Learning Applications (SEP4MLA) – Part 5 – Explainable Proxy Model”, the 30th Conference on Pattern Languages of Programs (PLoP’23), pp. 1-8, October 22-25, 2023 (CORE Rank B)