1

Leonardo Galli

|

Former PhD student in Ingegneria dell’Informazione at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests are machine learning, nonmonotone techniques, Nash Equilibrium Problems and derivative free optimization.

Publications

  • Football: Discovering elapsing-time bias in the science of success. Galli, L. and Galvan, G. and Levato, T. and Liti, C. and Piccialli, V. and Sciandrone, M. Chaos, Solitons & Fractals. (https://doi.org/10.1016/j.chaos.2021.111370)
  • A Study on Truncated Newton Methods for Linear Classification. Galli, L. and Lin, C-J. IEEE Transactions on Neural Networks and Learning Systems (2021) 1-14. (https://doi.org/10.1109/TNNLS.2020.3045836) Supplementary
  • Prescriptive Analytics for Inventory Management in Health Care. Galli, L. and Levato, T. and Schoen, F and Tigli, L. Journal of the Operational Research Society (2020) 1-14. (https://doi.org/10.1080/01605682.2020.1776167)
  • A unified convergence framework for nonmonotone inexact decomposition methods. Galli, L. and Galligari, A. and Sciandrone, M. Computational Optimization and Application (2020) 75: 113-144. (https://doi.org/10.1007/s10589-019-00150-5)
  • Modeling cancer drug response through drug-specific informative genes. Parca, L. and Pepe, G. and Pietrosanto, M. and Galvan, G. and Galli, L. and Palmeri, A. and Sciandrone, M. and Ferrè, F. and Ausiello, G. and Helmer-Citterich, M. Scientific Reports (2019) 9. (https://doi.org/10.1038/s41598-019-50720-0)
  • Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in Italy. Cocchi, G. and Galli, L. and Galvan, G. and Sciandrone, M. Cantù, M. and Tomaselli G. Wind Energy (2018) 5: 357-371. (https://doi.org/10.1002/we.2166)
  • A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties. Galli, L. and Kanzow, C. and Sciandrone, M. Computational Optimization and  Application (2018) 69: 629-652. (https://doi.org/10.1007/s10589-017-9960-3)

Submitted Papers

  • Controlling the degree of nonmonotonicity: a new line search framework combining two nonmonotone techniques. Galli, L. Operations Research Letters (2020)

My ORCID number: 0000-0002-8045-7101

Contacts

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

Phone: +39 3333715116

E-mail: leonardogalli2@gmail.com

linked-in: linkedin.com/leonardogalli

Scholar: scholar.google.com/leonardogalli