Exploiting damped techniques for nonlinear conjugate gradient methods. - Mehiddin Al-Baali; Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Math. Methods Oper. Res., 2017)

Novel preconditioners based on quasi-Newton updates for nonlinear conjugate gradient methods. - Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Optim. Lett., 2017)

Preconditioned Nonlinear Conjugate Gradient methods based on a modified secant equation. - Andrea Caliciotti; Giovanni Fasano; Massimo Roma (Appl. Math. Comput., 2018)

An adaptive truncation criterion, for linesearch-based truncated Newton methods in large scale nonconvex optimization. - Andrea Caliciotti; Giovanni Fasano; Stephen G. Nash; Massimo Roma (Oper. Res. Lett., 2018)

Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation. - Andrea Caliciotti; Giovanni Fasano; Florian A. Potra; Massimo Roma (Comput. Optim. Appl., 2020)

A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization. - Mehiddin Al-Baali; Andrea Caliciotti; Giovanni Fasano; Massimo Roma (SIAM J. Optim., 2020)

On Predicting Ticket Reopening for Improving Customer Service in 5G Fiber Optic Networks. - Lorenzo Ricciardi Celsi; Andrea Caliciotti; Matteo D'Onorio; Eugenio Scocchi; Nour Alhuda Sulieman; Massimo Villari (Future Internet, 2021)

From regression models to machine learning approaches for long term Bitcoin price forecast. - Andrea Caliciotti; Marco Corazza; Giovanni Fasano (Ann. Oper. Res., 2024)