Venlafaxine Chiral Separation by Capillary Electrophoresis Using Cyclodextrin Derivatives as Chiral Selector and Experimental Design Method Optimization. - Andreea Milan; Gabriel Hancu; Daniela Lupu; Monica Budau; Vladimir Garaj; Hajnal Kelemen (Symmetry, 2020)

Local linear convergence of stochastic higher-order methods for convex optimization. - Daniela Lupu; Ion Necoara (ECC, 2021)

Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization. - Flávia Chorobura; Daniela Lupu; Ion Necoara (CDC, 2022)

A Comparative Study of Compressive Sensing Algorithms for Hyperspectral Imaging Reconstruction. - Jon Álvarez Justo; Daniela Lupu; Milica Orlandic; Ion Necoara; Tor Arne Johansen (IVMSP, 2022)

Stochastic Higher-Order Independent Component Analysis for Hyperspectral Dimensionality Reduction. - Daniela Lupu; Ion Necoara; Joseph L. Garrett; Tor Arne Johansen (IEEE Trans. Computational Imaging, 2022)

Control of a wastewater treatment process using linear and nonlinear model predictive control. - Liliana Maria Ghinea; Daniela Lupu; Marian Barbu; Ion Necoara (ETFA, 2023)

Deep unfolding projected first order methods-based architectures: application to linear model predictive control. - Daniela Lupu; Ion Necoara (ECC, 2023)

Dimensionality reduction of hyperspectral images using an ICA-based stochastic second-order optimization algorithm. - Daniela Lupu; Ion Necoara; Tudor C. Ionescu; Liliana Maria Ghinea; Joseph L. Garrett; Tor Arne Johansen (ECC, 2023)

Convergence analysis of stochastic higher-order majorization-minimization algorithms. - Daniela Lupu; Ion Necoara (Optim. Methods Softw., 2024)

Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks. - Daniela Lupu; Ion Necoara (Syst. Control. Lett., 2024)

Deep unfolding primal-dual architectures: application to linear model predictive control. - Daniela Lupu; Ion Necoara; Lucian Toma (MED, 2025)

A stochastic augumented Lagrangian algorithm for smooth convex optimization: application to MPC with quadratic constraints. - Nitesh Kumar Singh; Daniela Lupu; Ion Necoara (MED, 2025)

Quick Unsupervised Hyperspectral Dimensionality Reduction for Earth Observation: A Comparison. - Daniela Lupu; Joseph L. Garrett; Tor Arne Johansen; Milica Orlandic; Ion Necoara (IEEE Trans. Computational Imaging, 2025)