From the 1 of 3 linked papers with an AI index.
3 papers
A Twin gradient method for unconstrained optimization
Anna De Magistris, Michiel E. Hochstenbach, Gerardo Toraldo
The paper introduces a Twin‑Step gradient method that runs two parallel gradient sequences and chooses step sizes to minimize the distance between them, with a hybrid fallback to a…
Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective
Anna De Magistris, Elvira Romano, Fabrizio Maturo
This paper investigates clustering in survival data by shifting the analytical focus from cumulative survival probabilities to instantaneous risk, as characterized by the hazard fu…
Conformal prediction for functional Ordinary kriging
Anna De Magistris, Andrea Diana, Elvira Romano
Functional Ordinary Kriging is the most widely used method to predict a curve at a given spatial point. However, uncertainty remains an open issue. In this article a distribution-f…