22 citations · 94 across the 22 of their papers we have counts for
22 papers
The Infinite-Dimensional Nature of Spectroscopy and Why Models Succeed, Fail, and Mislead
Umberto Michelucci, Francesca Venturini
Machine learning (ML) models have achieved strikingly high accuracies in spectroscopic classification tasks, often without a clear proof that those models used chemically meaningfu…
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…
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…
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…
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
Safouane El Ghazouali, Arnaud Gucciardi, Francesca Venturini +3
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantl…
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis
Arnaud Gucciardi, Safouane El Ghazouali, Francesca Venturini +2
This paper presents an annotated dataset of brain MRI images designed to advance the field of brain symmetry study. Magnetic resonance imaging (MRI) has gained interest in analyzin…