STUCCHI, EUSEBIO MARIA Statistiche
STUCCHI, EUSEBIO MARIA
DIPARTIMENTO DI SCIENZE DELLA TERRA
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
A Bayesian approach to elastic full-waveform inversion: application to two synthetic near surface models
2024-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A probabilistic full waveform inversion of surface waves
2024-01-01 Berti, Sean; Aleardi, M.; Stucchi, E.
A semblance-based microseismic event detector for DAS data
2024-01-01 Porras, Juan; Pecci, Davide; Bocchini, Gian Maria; Gaviano, Sonja; De , ; Solda, Michele; Tuinstra, Katinka; Lanza, Federica; Tognarelli, Andrea; Stucchi, Eusebio; Grigoli, Francesco
Noise analysis of Distributed Acoustic Sensing (DAS) systems in borehole installations
2024-01-01 Pecci, Davide; Cesca, Simone; Rapagnani, Giacomo; Gaviano, Sonja; Bocchini, Gian Maria; Carelli, Giorgio; Stucchi, Eusebio; Iannelli, Renato; Grigoli, Francesco
Stochastic inversion of time-lapse electrical resistivity tomography data by means of an adaptive ensemble-based approach
2024-01-01 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
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A Bayesian Approach To Elastic Full-waveform inversion: Application to a synthetic dataset
2023-01-01 Berti, Sean; Aleardi, Mattia; Stucchi, Eusebio
A computationally efficient Bayesian approach to full-waveform inversion
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
A computationally efficient probabilistic full waveform inversion: application to the BP model
2023-01-01 Berti, S.; Aleardi, M.; Stucchi, E.
Machine Learning to approximate the objective function in a global inversion of ERT data
2023-01-01 Macelloni, Fabio; Aleardi, Mattia; Stucchi, Eusebio
Objective function approximation through machine learning: application to a global inversion of ERT data
2023-01-01 Macelloni, F.; Aleardi, M.; Stucchi, E. M.
Supervised neural network for surface waves data-driven Vs-model prediction
2023-01-01 Felipe, Rincon; Berti, Sean; Aleardi, M.; Stucchi, E.
A Bayesian Approach To Full-waveform inversion: Preliminary Results
2022-01-01 Berti, Sean; Aleardi, Mattia; Stucchi, Eusebio
A Stochastic Ensemble Based approach for Time-Lapse ERT inversion
2022-01-01 Vinciguerra, A.; Aleardi, M.; Madsen, L. M.; Bording, T. S.; Christiansen, A. V.; Stucchi, E.
Antarctic Ice Sheet re-advance during the Antarctic Cold Reversal identified in the Western Ross Sea
2022-01-01 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
2022-01-01 Lamuraglia, Salvatore; Stucchi, Eusebio; Aleardi, Mattia
Machine learning-accelerated gradient-based Markov chain Monte Carlo inversion applied to electrical resistivity tomography
2022-01-01 Aleardi, M.; Vinciguerra, A.; Stucchi, E.; Hojat, A.
Probabilistic inversions of electrical resistivity tomography data with a machine learning-based forward operator
2022-01-01 Aleardi, Mattia; Vinciguerra, Alessandro; Stucchi, Eusebio; Hojat, Azadeh
Stochastic Time-Lapse Ert Inversion by Means of an Ensemble-Based Approach
2022-01-01 Vinciguerra, A.; Aleardi, M.; Meldgaard Madsen, L.; Bording, T. S.; Vest Christiansen, A.; Stucchi, E.