Marco Viola

32 papers Journal 26Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A three-step framework for noisy image segmentation in brain MRI.
Appl. Math. Comput.
Laura Antonelli, Valentina De Simone, Marco Viola
2026 J jnl
Social and Organizational Dynamics in Multiplayer Gaming: A Comparative Communication Analysis of Casual and Esports Players' Interactions in "
Cyberpsychology Behav. Soc. Netw.
Arianna Boldi, Marco Viola, Rosalba Rosato, Maurizio Tirassa, Amon Rapp
2025 J jnl
A Scaled Gradient Projection method for the realization of the balancing principle in TGV-based image restoration.
Comput. Optim. Appl.
Germana Landi, Marco Viola, Fabiana Zama
2025 J jnl
A Stochastic Birth-and-Death Approach for Street Furniture Geolocation in Urban Environments.
CoRR
Evan Murphy, Marco Viola, Vladimir A. Krylov
2025 J jnl
An algorithm for a constrained P-spline.
CoRR
Rosanna Campagna, Serena Crisci, Gabriele Santin, Gerardo Toraldo, Marco Viola
2025 J jnl
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks.
CoRR
Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi
2024 J jnl
Barzilai-Borwein-like rules in proximal gradient schemes for ℓ
Optim. Methods Softw.
Serena Crisci, Simone Rebegoldi, Gerardo Toraldo, Marco Viola
2024 — conf
Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks.
AICS
Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi
2024 J jnl
On the stationarity for nonlinear optimization problems with polyhedral constraints.
Math. Program.
Daniela di Serafino, William W. Hager, Gerardo Toraldo, Marco Viola
2023 J jnl
Cartoon-texture evolution for two-region image segmentation.
Comput. Optim. Appl.
Laura Antonelli, Valentina De Simone, Marco Viola
2023 — conf
Combined First- and Second-Order Directions for Deep Neural Networks Training.
NUMTA (1)
Ángeles Martínez, Marco Viola, Mahsa Yousefi
2023 J jnl
On the Adaptive Penalty Parameter Selection in ADMM.
Algorithms
Serena Crisci, Valentina De Simone, Marco Viola
2023 — conf
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization.
SSVM
Laura Antonelli, Valentina De Simone, Marco Viola
2022 J jnl
Cartoon-texture evolution for two-region image segmentation.
CoRR
Laura Antonelli, Valentina De Simone, Marco Viola
2022 J jnl
LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums.
Math. Comput.
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
2022 J jnl
Sparse Approximations with Interior Point Methods.
SIAM Rev.
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
2021 J jnl
Directional TGV-Based Image Restoration under Poisson Noise.
J. Imaging
Daniela di Serafino, Germana Landi, Marco Viola
2021 J jnl
Directional TGV-based image restoration under Poisson noise.
CoRR
Daniela di Serafino, Germana Landi, Marco Viola
2021 J jnl
Sparse Approximations with Interior Point Methods.
CoRR
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
2021 — conf
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter.
ICCSA (Workshops)
Daniela di Serafino, Germana Landi, Marco Viola
2021 J jnl
TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter.
CoRR
Daniela di Serafino, Germana Landi, Marco Viola
2021 J jnl
Using gradient directions to get global convergence of Newton-type methods.
Appl. Math. Comput.
Daniela di Serafino, Gerardo Toraldo, Marco Viola
2020 J jnl
ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration.
Appl. Math. Comput.
Daniela di Serafino, Germana Landi, Marco Viola
2020 J jnl
LSOS: Line-search Second-Order Stochastic optimization methods.
CoRR
Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola
2020 J jnl
Using gradient directions to get global convergence of Newton-type methods.
CoRR
Daniela di Serafino, Gerardo Toraldo, Marco Viola
2019 — conf
A Gradient-Based Globalization Strategy for the Newton Method.
NUMTA(1)
Daniela di Serafino, Gerardo Toraldo, Marco Viola
2019 J jnl
A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers.
CoRR
Valentina De Simone, Daniela di Serafino, Marco Viola
2019 J jnl
Semi-supervised generalized eigenvalues classification.
Ann. Oper. Res.
Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino
2018 J jnl
A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables.
SIAM J. Optim.
Daniela di Serafino, Gerardo Toraldo, Marco Viola, Jesse L. Barlow
2017 J jnl
A generalized eigenvalues classifier with embedded feature selection.
Optim. Lett.
Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino
2017 — conf
Proportionality-Based Gradient Methods with Applications in Contact Mechanics.
HPCSE
Zdenek Dostál, Gerardo Toraldo, Marco Viola, Oldrich Vlach
2015 J jnl
Some remarks on the division of cognitive labor.
Roars Trans.
Marco Viola