niccolo-ajroldi / functional-bnp-clustering Goto Github PK

I like ML.

Here you can find a copy of my CV.

You can find me also on:

Conformal Prediction Bands for Two-Dimensional Functional Time Series
Ajroldi, Diquigiovanni, Fontana, Vantini, Computational Statistics & Data Analysis, 2023.
We develop algorithms to forecast time evolving surfaces and estimate prediction uncertainty. We introduce estimation techniques for functional autoregressive models and revisit distribution-free uncertainty quantification techniques for this setting.

Continuous and early prediction of Acute Kidney Injury in critically ill patients
Alfieri, Ancona, Tripepi, Rubeis, Ajroldi, Finazzi, Cauda, Fagugli, (2023), on PLOS ONE.
We propose a novel ML model to continuosly predict Acute Kidney Injury episodes in Intensive Care Units using routinely-available data. The model is tested through a multi-centric, multi-national external validation procedure.