30 citations · 33 across the 5 of their papers we have counts for
5 papers
The effect of time discretization on the solution of parabolic PDEs with ANNs
Francesco Calabrò, Salvatore Cuomo, Daniela di Serafino +2
We investigate the resolution of parabolic PDEs via Extreme Learning Machine (ELMs) Neural Networks, which have a single hidden layer and can be trained at a modest computational c…
A view of computational models for image segmentation
Laura Antonelli, Valentina De Simone, Daniela di Serafino
Image segmentation is a central topic in image processing and computer vision and a key issue in many applications, e.g., in medical imaging, microscopy, document analysis and remo…
LSOS: Line-search Second-Order Stochastic optimization methods for nonconvex finite sums
Daniela di Serafino, Nataša Krejić, Nataša Krklec Jerinkić +1
We develop a line-search second-order algorithmic framework for minimizing finite sums. We do not make any convexity assumptions, but require the terms of the sum to be continuousl…
A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables
Daniela di Serafino, Gerardo Toraldo, Marco Viola +1
We propose a gradient-based method for quadratic programming problems with a single linear constraint and bounds on the variables. Inspired by the GPCG algorithm for bound-constrai…
Updating constraint preconditioners for KKT systems in quadratic programming via low-rank corrections
S. Bellavia, V. De Simone, D. di Serafino +1
This work focuses on the iterative solution of sequences of KKT linear systems arising in interior point methods applied to large convex quadratic programming problems. This task i…