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2020 – today
- 2024
[j4]Daniela Lupu, Ion Necoara:
Convergence analysis of stochastic higher-order majorization-minimization algorithms. Optim. Methods Softw. 39(2): 384-413 (2024)- [j3]Daniela Lupu, Ion Necoara:
Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks. Syst. Control. Lett. 186: 105742 (2024) - [i1]Jon Álvarez Justo, Daniela Lupu, Milica Orlandic, Ion Necoara, Tor Arne Johansen:
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction. CoRR abs/2401.14762 (2024) - 2023
- [c6]Liliana Maria Ghinea, Daniela Lupu, Marian Barbu, Ion Necoara:
Control of a wastewater treatment process using linear and nonlinear model predictive control. ETFA 2023: 1-6 - [c5]Daniela Lupu, Ion Necoara:
Deep unfolding projected first order methods-based architectures: application to linear model predictive control. ECC 2023: 1-6 - [c4]Daniela Lupu, Ion Necoara, Tudor C. Ionescu, Liliana Maria Ghinea, Joseph L. Garrett, Tor Arne Johansen:
Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm. ECC 2023: 1-6 - 2022
- [j2]Daniela Lupu, Ion Necoara
, Joseph L. Garrett, Tor Arne Johansen:
Stochastic Higher-Order Independent Component Analysis for Hyperspectral Dimensionality Reduction. IEEE Trans. Computational Imaging 8: 1184-1194 (2022) - [c3]Flávia Chorobura, Daniela Lupu, Ion Necoara:
Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization. CDC 2022: 6929-6934 - [c2]Jon Álvarez Justo, Daniela Lupu, Milica Orlandic, Ion Necoara, Tor Arne Johansen:
A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction. IVMSP 2022: 1-5 - 2021
- [c1]Daniela Lupu, Ion Necoara:
Local linear convergence of stochastic higher-order methods for convex optimization. ECC 2021: 2219-2224 - 2020
- [j1]Andreea Milan, Gabriel Hancu, Daniela Lupu, Monica Budau, Vladimir Garaj, Hajnal Kelemen:
Venlafaxine Chiral Separation by Capillary Electrophoresis Using Cyclodextrin Derivatives as Chiral Selector and Experimental Design Method Optimization. Symmetry 12(5): 849 (2020)
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