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Titolo Data di pubblicazione Autore(i) File
New information from "old" seismic lines: An updated geological interpretation from the re-processing of the CROP line M-2A/I (Bonifacio Straits) at shallow depths In corso di stampa Berra, Fabrizio; Stucchi, Eusebio M.; Moretti, Stefano
Stochastic inversion of time-lapse electrical resistivity tomography data by means of an adaptive ensemble-based approach 1-gen-2024 Vinciguerra, A.; Aleardi, M.; Madsen, L. M.; Bording, T. S.; Christiansen, A. V.; Stucchi, E.
A Bayesian approach to elastic Full-Waveform inversion: application to a semi-real near surface model 1-gen-2023 Berti, S.; Aleardi, M.; Stucchi, E.
A computationally efficient Bayesian approach to full-waveform inversion 1-gen-2023 Berti, S.; Aleardi, M.; Stucchi, E.
A computationally efficient probabilistic full waveform inversion: application to the BP model 1-gen-2023 Berti, S.; Aleardi, M.; Stucchi, E.
Objective function approximation through machine learning: application to a global inversion of ERT data 1-gen-2023 Macelloni, F.; Aleardi, M.; Stucchi, E. M.
Supervised neural network for surface waves data-driven Vs-model prediction 1-gen-2023 Felipe, Rincon; Berti, Sean; Aleardi, M.; Stucchi, E.
Antarctic Ice Sheet re-advance during the Antarctic Cold Reversal identified in the Western Ross Sea 1-gen-2022 Baroni, C.; Tenti, M.; Bart, P. J.; Salvatore, M. C.; Gasperini, L.; Busetti, M.; Sauli, C.; Stucchi, E. M.; Tognarelli, A.
Application of a global–local full‐waveform inversion of Rayleigh wave to estimate the near‐surface shear wave velocity model 1-gen-2022 Lamuraglia, Salvatore; Stucchi, Eusebio; Aleardi, Mattia
Machine learning-accelerated gradient-based Markov chain Monte Carlo inversion applied to electrical resistivity tomography 1-gen-2022 Aleardi, M.; Vinciguerra, A.; Stucchi, E.; Hojat, A.
Probabilistic inversions of electrical resistivity tomography data with a machine learning-based forward operator 1-gen-2022 Aleardi, Mattia; Vinciguerra, Alessandro; Stucchi, Eusebio; Hojat, Azadeh
Stochastic Time-Lapse Ert Inversion by Means of an Ensemble-Based Approach 1-gen-2022 Vinciguerra, A.; Aleardi, M.; Meldgaard Madsen, L.; Bording, T. S.; Vest Christiansen, A.; Stucchi, E.
A hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data 1-gen-2021 Aleardi, Mattia; Stucchi, Eusebio
Discrete cosine transform for parameter space reduction in Bayesian electrical resistivity tomography 1-gen-2021 Vinciguerra, Alessandro; Aleardi, Mattia; Hojat, Azadeh; Heng Loke, Meng; Stucchi, Eusebio
Discrete Cosine Transform Reparameterization for Bayesian Time-Lapse ERT Inversion 1-gen-2021 Vinciguerra, Alessandro; Aleardi, Mattia; Hojat, Azadeh; Stucchi, EUSEBIO MARIA
Neural network for misfit prediction in 2D elastic global FWI 1-gen-2021 Pierini, S.; Balestri, M.; Stucchi, E.
Stochastic electrical resistivity tomography with ensemble smoother and deep convolutional autoencoders 1-gen-2021 Aleardi, Mattia; Vinciguerra, Alessandro; Stucchi, Eusebio; Hojat, Azadeh
Acoustic global‐local FWI for p‐velocity estimation of near‐surface seismic data acquired in Luni, Italy 1-gen-2020 Stucchi, Eusebio; Pierini, Silvio; Tognarelli, Andrea; Brunod, Jimi
Discrete cosine transform for parameter space reduction in Bayesian ERT inversion 1-gen-2020 Vinciguerra, Alessandro; Aleardi, Mattia; Hojat, Azadeh; Stucchi, EUSEBIO MARIA
High-resolution coherency functionals for improving the velocity analysis of ground-penetrating radar data 1-gen-2020 Stucchi, E.; Ribolini, A.; Tognarelli, A.