In this technical report we have designed and developed a Python software suite (U-ProBE: Uncertainty Probabilistic Bayesian Estimate) for analyzing Deep Learning models with predictions affected by uncertainty (i.e., Bayesian Probabilistic Models). The suite is equipped with an intuitive graphical interface that is simple to use even for non-experts and designed to support a growing pool of users who need to evaluate a model’s performance and, above all, its uncertainty.
U-ProBE: Uncertainty Probabilistic Bayesian Estimate
Del Corso G.;Colantonio S.;Caudai C.
2025
Abstract
In this technical report we have designed and developed a Python software suite (U-ProBE: Uncertainty Probabilistic Bayesian Estimate) for analyzing Deep Learning models with predictions affected by uncertainty (i.e., Bayesian Probabilistic Models). The suite is equipped with an intuitive graphical interface that is simple to use even for non-experts and designed to support a growing pool of users who need to evaluate a model’s performance and, above all, its uncertainty.File in questo prodotto:
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