Nonlinear optimization, Variational inequality problems, Optimization problems in statistical learning, Optimization techniques for inverse problems, Gradient projection methods, Parallel algorithms for large-scale optimization, Error analysis in optimization algorithms.
PRIN 2022: Numerical Optimization with Adaptive Accuracy and Applications to Machine Learning
GNCS 2018: Stochastic optimization methods for large-scale machine learning problems
SPINNER 2011: High-complexity inverse problems in biomedical applications and social systems
PRRIITT 2008: Machine Learning Algorithms for Text Categorization
PRIN 2008: Optimization Methods and Software for Inverse Problems
PRIN 2006: Inverse Problems in Medicine and Astronomy
PRRIITT 2005: Machine Learning Technologies for Banknote Recognition
HPC-EUROPA 2004: Pan-European Research Infrastructure on High Performance Computing
COFIN 2004: Numerical Methods and Mathematical Software for Applications
FIRB-Project 2001: Statistical Learning: Theory, Algorithms and Applications
FIRB-Project 2001: Parallel Algorithms and Numerical Nonlinear Optimization
MURST-Project 1997: Numerical Analysis: Methods and Mathematical Software
SGP-IDL: An Interactive Data Language (IDL) package for the single and multiple deconvolution of 2D images corrupted by Poisson noise, with the optional inclusion of a boundary effect correction.
SGP-dec: A Matlab package for the deconvolution of 2D and 3D images corrupted by Poisson noise.
GPDT: A gradient projection-based decomposition technique for large quadratic programs in training Support Vector Machines: serial and parallel software