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Niccolo-Ajroldi/README.md

I like ML.

Here you can find a copy of my CV.

You can find me also on:

Niccolo-Ajroldi Niccolo-Ajroldi Niccolo-Ajroldi Niccolo-Ajroldi Niccolo-Ajroldi

Publications

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.

Other research projects

TSstudio UKgrid

Personal projects

TSstudio TSstudio TSstudio TSstudio TSstudio TSstudio

Pinned

  1. algorithmic-efficiency algorithmic-efficiency Public

    Forked from mlcommons/algorithmic-efficiency

    MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.

    Python

  2. ARMA-Surfaces ARMA-Surfaces Public

    Simulation of Functional Autoregressive Moving Average Processes for surface date.

    R

  3. HackerRank-Solutions HackerRank-Solutions Public

    Personal solutions for some HackerRank challenges. Solutions are in Python or C++.

    Python

  4. Functional-BNP-clustering Functional-BNP-clustering Public

    Bayesian nonparametric clustering of functional data.

    R 1

  5. PCA-for-Surfaces PCA-for-Surfaces Public

    Principal Component Analysis of surfaces, i.e. functions defined on a bivariate domain.

    R