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cs.LG2025
Best Practices for Machine Learning Experimentation in Scientific Applications
Umberto Michelucci, Francesca Venturini
Machine learning (ML) is increasingly adopted in scientific research, yet the quality and reliability of results often depend on how experiments are designed and documented. Poor b…
cs.LG2025
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
Umberto Michelucci, Francesca Venturini
Machine learning is vital in high-stakes domains, yet conventional validation methods rely on averaging metrics like mean squared error (MSE) or mean absolute error (MAE), which fa…
cs.LG2024
Deep Learning Domain Adaptation to Understand Physico-Chemical Processes from Fluorescence Spectroscopy Small Datasets: Application to Ageing of Olive Oil
Umberto Michelucci, Francesca Venturini
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, widely used for applications such as environmental monitoring, food quality control, and biomedical…