Sfoglia per Autore
Spatially Adaptive Regularization in Image Segmentation
2020 Antonelli, Laura; De Simone, Valentina; di Serafino, Daniela
l1 -Regularization for multi-period portfolio selection
2020 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Perla, Francesca
Split Bregman iteration for multi-period mean variance portfolio optimization
2021 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda
Fused Lasso approach in portfolio selection
2021 Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda
Sparse Approximations with Interior Point Methods
2022 DE SIMONE, Valentina; di Serafino, Daniela; Gondzio, Jacek; Pougkakiotis, Spyridon; 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.
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
Cartoon-texture evolution for two-region image segmentation
2023 Antonelli, L.; De Simone, V.; Viola, M.
Nonconvex multi-period mean-variance portfolio optimization
2023 Wu, Z.; Xie, G.; Ge, Z.; De Simone, V.
Learning fused lasso parameters in portfolio selection via neural networks
2024 Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Scognamiglio, Salvatore
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Spatially Adaptive Regularization in Image Segmentation | 1-gen-2020 | Antonelli, Laura; De Simone, Valentina; di Serafino, Daniela | |
| l1 -Regularization for multi-period portfolio selection | 1-gen-2020 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Perla, Francesca | |
| Split Bregman iteration for multi-period mean variance portfolio optimization | 1-gen-2021 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda | |
| Fused Lasso approach in portfolio selection | 1-gen-2021 | Corsaro, Stefania; DE SIMONE, Valentina; Marino, Zelda | |
| Sparse Approximations with Interior Point Methods | 1-gen-2022 | DE SIMONE, Valentina; di Serafino, Daniela; Gondzio, Jacek; Pougkakiotis, Spyridon; Viola, Marco | |
| A view of computational models for image segmentation | 1-gen-2022 | Antonelli, L.; De Simone, V.; di Serafino, D. | |
| l1-Regularization in Portfolio Selection with Machine Learning | 1-gen-2022 | Corsaro, S.; De Simone, V.; Marino, Z.; Scognamiglio, S. | |
| Free knot spline estimation with two roughness penalty terms for functional data and its application to clustering | 1-gen-2023 | DE MAGISTRIS, Anna; DE SIMONE, Valentina; Romano, Elvira; Toraldo, Gerardo | |
| On the Adaptive Penalty Parameter Selection in ADMM | 1-gen-2023 | Crisci, S.; De Simone, V.; Viola, M. | |
| Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization | 1-gen-2023 | Antonelli, Laura; De Simone, Valentina; Viola, Marco | |
| Cartoon-texture evolution for two-region image segmentation | 1-gen-2023 | Antonelli, L.; De Simone, V.; Viola, M. | |
| Nonconvex multi-period mean-variance portfolio optimization | 1-gen-2023 | Wu, Z.; Xie, G.; Ge, Z.; De Simone, V. | |
| Learning fused lasso parameters in portfolio selection via neural networks | 1-gen-2024 | Corsaro, Stefania; De Simone, Valentina; Marino, Zelda; Scognamiglio, Salvatore |
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