Post-Doc Research Fellow at Dipartimento di Ingegneria dell’Informazione,
Università degli Studi di Firenze.

My research interests are on sparse nonlinear optimization, black-box optimization, bilevel optimization, machine learning and neural networks.

Publications

  1. Improved Maximum Likelihood Estimation of ARMA Models.
    L. Di Gangi, M. Lapucci, F. Schoen, A. Sortino.
    Lobachevsky Journal of Mathematics, 2022.
    DOI: arxiv.org/abs/2201.11053
  2. Can machine learning models support physicians in systemic lupus erythematosus diagnosis? Results from a monocentric cohort.
    F. Ceccarelli, M. Lapucci, G. Olivieri, A. Sortino, M. Sciandrone et al.
    Joint Bone Spine, 2021.
    DOI: 10.1016/j.jbspin.2021.105292
  3. An Effective Procedure for Feature Subset Selection in Logistic Regression Based on Information Criteria.
    E. Civitelli, M. Lapucci, F. Schoen and A. Sortino.
    Computational Optimization and Applications, 2021.
    DOI: 10.1007/s10589-021-00288-1
  4. Comprehensive Disease Control in Systemic Lupus Erythematosus.
    F. Ceccarelli, G. Olivieri, A. Sortino, M. Lapucci, M. Sciandrone et al.
    Seminars in Arthritis and Rheumatism, 2021.
    DOI: 10.1016/j.semarthrit.2021.02.005
  5. Injury risk assessment based on pre-crash variables: the role of closing velocity and impact eccentricity.
    L. Di Gangi, M. S. Gulino, A. Sortino and D. Vangi.
    Accident Analysis and Prevention, 2021.
    DOI: 10.1016/j.aap.2020.105864
  6. An Efficient Optimization Approach for Best Subset Selection in Linear Regression, with Application to Model Selection and Fitting in Autoregressive Time-Series.
    L. Di Gangi, M. Lapucci, F. Schoen and A. Sortino.
    Computational Optimization and Applications, 2019.
    DOI: 10.1007/s10589-019-00134-5

My ORCID number: 0000-0002-3971-3441

Talks

  1. AIRO ODS 2022, Florence — Scheduling Airport Personnel by Exact Optimization Models
  2. AIRO ODS 2021, Rome — An Effective Procedure for Feature Subset Selection in Logistic Regression Based on Information Criteria
  3. EUROPT 2021, Toulouse (virtual) — Sparse RBF Regression for the Optimization of Noisy Expensive Functions

Contacts

Via di Santa Marta, 3 — 50139 Firenze FI (Italy)

Tel: +39 055 2758532

E-mail: sortino dot alessio at gmail dot com, alessio dot sortino at unifi dot it

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