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Author

F. L. Lopes

2 papers indexed here

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Open access Sep 2022

Model interpretation using improved local regression with variable importance

One of the main limitations for the trust in the use of machine learning models is the understanding of how they produce their predictions. This limitation is related to an increasing demand for transparency in decision-making. Interpretability refers to how well a user can understand the model’s decision-making proces...

G. Y. Shimizu, Rafael Izbicki, Fernando Rezende Zagatti et al. · 3 citations
Aug 2026

Interpretable Machine Learning Analysis of Perovskite Solar Cells Based on SCAPS-1D Simulations: Insights into Performance-Limiting Mechanisms

This work presents an interpretable machine learning framework to investigate the factors influencing the efficiency of perovskite solar cells. A dataset of approximately 5,000 simulations was generated using SCAPS-1D simulations by varying key parameters, including bandgap, defect density, carrier mobility, doping con...

D. M. Neves, G. Y. Shimizu, V. Peruzzi et al. · 0 citations

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