3 papers indexed
Livia Valentina Moretti, Enrico Barbierato, Alice Gatti
This paper develops a framework for monitoring and forecasting episodes of systemic financial stress using a combination of market information, macro-financial indicators, and measures derived from time-varying correlation networks, embedded in a sequential machine-learning setti…
Matteo Montrucchio, Enrico Barbierato, Alice Gatti
This study introduces a fully uncertainty-aware forecasting framework for NBA games that integrates team-level performance metrics, rolling-form indicators, and spatial shot-chart embeddings. The predictive backbone is a recurrent neural network equipped with Monte Carlo dropout,…
Deborah Maffezzoni, Enrico Barbierato, Alice Gatti
Pediatric appendicitis remains a challenging condition to diagnose accurately due to its varied clinical presentations and the non-specific nature of symptoms, particularly in younger patients. Traditional diagnostic approaches often result in delayed treatments or unnecessary su…