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Author

S. Rezaeiravesh

2 papers indexed here

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Open access Sep 2026

Pairwise interactions in turbulence time series: essential measures for validating synthetic data

Abstract The synthesis of turbulence dynamics using machine learning, statistical, and dynamical system-based models has become an emerging research direction. Validation of synthetic turbulence time series is often based on marginal and second-order statistics, which may overlook whether the underlying interaction str...

S. Rezaeiravesh, D. Massaro, Philipp Schlatter · 0 citations
Preprint Open access Sep 2026

Uncertainty-driven training for three-dimensional calibrated lung nodule classification

In this work, we present an uncertainty-driven training framework for three-dimensional computed tomography (CT) lung nodule classification, where validation-based uncertainty estimates guide loss reweighting to enhance predictive performance and probability calibration. Two Uncertainty Quantification (UQ) methods are...

Giuseppe Tripodi, A. De Rosis, S. Rezaeiravesh · 0 citations

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