Köhler, D., Rügamer, D., & Schmid, M. (2024). Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects.
Chicago Style (17th ed.) CitationKöhler, David, David Rügamer, and Matthias Schmid. Achieving Interpretable Machine Learning by Functional Decomposition of Black-box Models into Explainable Predictor Effects. 2024.
MLA (9th ed.) CitationKöhler, David, et al. Achieving Interpretable Machine Learning by Functional Decomposition of Black-box Models into Explainable Predictor Effects. 2024.
Warning: These citations may not always be 100% accurate.