Luis Cárdenas Florido

1 Introduction In recent years, machine learning has experienced significant advances driven by the development of methods that can generate models that are capable of achieving high levels of predictive accuracy across a wide range of application domains. However, many of these approaches—particularly deep neural networks and complex ensemble methods—exhibit a fundamental limitation: their black-box nature.

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