DE SIMONE, Valentina
DE SIMONE, Valentina
Dipartimento di Matematica e Fisica (DMF)
A speed up strategy for gradient methods
2026 De Magistris, A.; Crisci, S.; De Simone, V.; Toraldo, G.
A three-step framework for noisy image segmentation in brain MRI
2026 Antonelli, L.; De Simone, V.; Viola, M.
Behavioral portfolio optimization via cumulative prospect theory with a symmetric alternating direction method of multipliers
2025 Wu, Z.; Yang, L.; De Simone, V.
Bilevel robust optimization approach for multi-period sparse portfolio selection
2025 Crisci, S.; De Simone, V.; Pragliola, M.; Toraldo, G.
Incremental Weak Subgradient Methods for Non-Smooth Non-Convex Optimization Problems
2025 Araboljadidi, N.; De Simone, V.
Neural network for archaeological glyph detection
2025 Crisci, Serena; De Simone, Valentina; Diana, Andrea; Zullo, Ferdinando
Preface: New trends in large scale optimization
2025 Bellavia, S.; De Simone, V.; Morini, B.
Learning fused lasso parameters in portfolio selection via neural networks
2024 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Scognamiglio, Salvatore
Nonconvex multi-period mean-variance portfolio optimization
2024 Wu, Z.; Xie, G.; Ge, Z.; De Simone, V.
Roughness regularization for functional data analysis with free knots spline estimation
2024 DE MAGISTRIS, Anna; DE SIMONE, Valentina; Romano, Elvira; Toraldo, Gerardo
Cartoon-texture evolution for two-region image segmentation
2023 Antonelli, L.; De Simone, V.; Viola, M.
Free knot spline estimation with two roughness penalty terms for functional data and its application to clustering
2023 DE MAGISTRIS, Anna; DE SIMONE, Valentina; Romano, Elvira; Toraldo, Gerardo
On the Adaptive Penalty Parameter Selection in ADMM
2023 Crisci, S.; De Simone, V.; Viola, M.
Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization
2023 Antonelli, Laura; De Simone, Valentina; Viola, Marco
A view of computational models for image segmentation
2022 Antonelli, L.; De Simone, V.; di Serafino, D.
l1-Regularization in Portfolio Selection with Machine Learning
2022 Corsaro, S.; De Simone, V.; Marino, Z.; Scognamiglio, S.
Sparse Approximations with Interior Point Methods
2022 DE SIMONE, Valentina; di Serafino, Daniela; Gondzio, Jacek; Pougkakiotis, Spyridon; Viola, Marco
Fused Lasso approach in portfolio selection
2021 Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda
Split Bregman iteration for multi-period mean variance portfolio optimization
2021 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda
A SUBSPACE-ACCELERATED SPLIT BREGMAN METHOD FOR SPARSE DATA RECOVERY WITH JOINT L1-TYPE REGULARIZERS
2020 DE SIMONE, Valentina; DI SERAFINO, Daniela; Viola, Marco