17.4 CMOS impedance analyzer for nanosamples investigation operating up to 150MHz with Sub-aF resolution. - Giorgio Ferrari; Davide Bianchi; Angelo Rottigni; Marco Sampietro (ISSCC, 2014)

An analysis method for atomistic abrasion simulations featuring rough surfaces and multiple abrasive particles. - Stefan J. Eder; Davide Bianchi; Ulrike Cihak-Bayr; András Vernes; Gerhard Betz (Comput. Phys. Commun., 2014)

CMOS Impedance Analyzer for Nanosamples Investigation Operating up to 150 MHz With Sub-aF Resolution. - Davide Bianchi; Giorgio Ferrari; Angelo Rottigni; Marco Sampietro (IEEE J. Solid State Circuits, 2014)

Integrated instrumentation for high sensitivity impedance measurements on nanosamples. - Davide Bianchi (2014)

Regularization Preconditioners for Frame-Based Image Deblurring with Reduced Boundary Artifacts. - Yuantao Cai; Marco Donatelli; Davide Bianchi; Ting-Zhu Huang (SIAM J. Sci. Comput., 2016)

Impedance-Sensing CMOS Chip for Noninvasive Light Detection in Integrated Photonics. - Pietro Ciccarella; Marco Carminati; Giorgio Ferrari; Davide Bianchi; Stefano Grillanda; Francesco Morichetti; Andrea Melloni; Marco Sampietro (IEEE Trans. Circuits Syst. II Express Briefs, 2016)

A Bibliometric Framework to Identify and Delineate Subfields of Research on Tribological Wear - Part One: Can We Identify Fundamental Issues by Clusters of Similar Journals? - Edgar Schiebel; Davide Bianchi; András Vernes (ISI, 2017)

Methods for atomistic abrasion simulations of laterally periodic polycrystalline substrates with fractal surfaces. - Stefan J. Eder; Davide Bianchi; Ulrike Cihak-Bayr; Konstantinos Gkagkas (Comput. Phys. Commun., 2017)

Analysis of the spectral symbol function for spectral approximation of a differential operator. - Davide Bianchi (CoRR, 2019)

Asymptotic spectra of large (grid) graphs with a uniform local structure. - Andrea Adriani; Davide Bianchi; Stefano Serra-Capizzano (CoRR, 2020)

Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring. - Davide Bianchi; Alessandro Buccini (CoRR, 2020)

Analysis of the spectral symbol associated to discretization schemes of linear self-adjoint differential operators. - Davide Bianchi (CoRR, 2020)

Graph approximation and generalized Tikhonov regularization for signal deblurring. - Davide Bianchi; Marco Donatelli (ICCSA (Workshops), 2021)

Compatibility, embedding and regularization of non-local random walks on graphs. - Davide Bianchi; Marco Donatelli; Fabio Durastante; Mariarosa Mazza (CoRR, 2021)

Graph Laplacian for image deblurring. - Davide Bianchi; Alessandro Buccini; Marco Donatelli; Emma Randazzo (CoRR, 2021)

Constructive approach to the monotone rearrangement of functions. - Giovanni Barbarino; Davide Bianchi; Carlo Garoni (CoRR, 2021)

Uniformly convex neural networks and non-stationary iterated network Tikhonov (iNETT) method. - Davide Bianchi; Guanghao Lai; Wenbin Li (CoRR, 2022)

Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet. - Davide Bianchi; Marco Donatelli; Davide Evangelista; Wenbin Li 007; Elena Loli Piccolomini (SSVM, 2023)

Improved impedance inversion by deep learning and iterated graph Laplacian. - Davide Bianchi; Florian Bossmann; Wenlong Wang; Mingming Liu (CoRR, 2024)

LIP-CAR: contrast agent reduction by a deep learned inverse problem. - Davide Bianchi; Sonia Colombo Serra; Davide Evangelista; Pengpeng Luo; Elena Morotti; Giovanni Valbusa (CoRR, 2024)

Asymptotic spectra of large (grid) graphs with a uniform local structure, Part II: Numerical applications. - Andrea Adriani; Davide Bianchi; Paola Ferrari; Stefano Serra-Capizzano (J. Comput. Appl. Math., 2024)

Effectiveness of Management Zones Delineated from UAV and Sentinel-2 Data for Precision Viticulture Applications. - Bianca Ortuani; Alice Mayer; Davide Bianchi; Giovanna Sona; Alberto Crema; Davide Modina; Martino Bolognini; Lucio Brancadoro; Mirco Boschetti; Arianna Facchi (Remote. Sens., 2024)

A Data-Dependent Regularization Method Based on the Graph Laplacian. - Davide Bianchi; Davide Evangelista; Stefano Aleotti; Marco Donatelli; Elena Loli Piccolomini; Wenbin Li 007 (SIAM J. Sci. Comput., 2025)

Convergence analysis and parameter estimation for the iterated Arnoldi-Tikhonov method. - Davide Bianchi; Marco Donatelli; Davide Furchì; Lothar Reichel (Numerische Mathematik, 2025)

The iterated Golub-Kahan-Tikhonov method. - Davide Bianchi; Marco Donatelli; Davide Furchì; Lothar Reichel (CoRR, 2025)