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Number of documents

8

Publications - Andrea Licciardi


Journal articles4 documents

  • Raffaele Bonadio, Sergei Lebedev, Thomas Meier, Pierre Arroucau, Andrew Schaeffer, et al.. Optimal resolution tomography with error tracking and the structure of the crust and upper mantle beneath Ireland and Britain. Geophysical Journal International, Oxford University Press (OUP), 2021, 226 (3), pp.2158-2188. ⟨10.1093/gji/ggab169⟩. ⟨hal-03558400⟩
  • Andrea Licciardi, R England, N Agostinetti, Kerry Gallagher. Moho depth of the British Isles: a probabilistic perspective. Geophysical Journal International, Oxford University Press (OUP), 2020, 221 (2), pp.1384-1401. ⟨10.1093/gji/ggaa021⟩. ⟨insu-02506722⟩
  • Andrea Licciardi, Kerry Gallagher, S. Clark. Estimating uncertainties on net erosion from well‐log porosity data. Basin Research, Wiley, 2020, 32 (1), pp.51-67. ⟨10.1111/bre.12366⟩. ⟨insu-02476846⟩
  • Andrea Licciardi, Kerry Gallagher, S. A. Clark. A Bayesian Approach for Thermal History Reconstruction in Basin Modeling. Journal of Geophysical Research : Solid Earth, American Geophysical Union, 2020, 125 (7), pp.e2020JB019384. ⟨10.1029/2020JB019384⟩. ⟨insu-02926818⟩

Poster communications4 documents

  • Gabriela Arias, Quentin Bletery, Andrea Licciardi. Extraction of Prompt Elasto-Gravity Signals (PEGS) for earthquake early warning through Deep Learning. ERC TECTONIC: Workshop on The physics of earthquake faulting: machine learning to illuminate earthquake precursors and predict laboratory earthquakes, Sep 2021, Rome, Italy. ⟨hal-03557727⟩
  • Andrea Licciardi, Quentin Bletery, Bertrand Rouet-Leduc, Jean Paul Ampuero, Kévin Juhel. Instantaneous Tracking of Earthquake Growth Using Prompt Elasto- Gravity Signals and Deep Learning. Earthquakes: Nucleation, Triggering and Relationships with Aseismic Processes, Sep 2021, Cargese, France. ⟨hal-03558268⟩
  • Andrea Licciardi, Quentin Bletery, Bertrand Rouet-Leduc, Jean Paul Ampuero, Kévin Juhel. Instantaneous Tracking of Earthquake Growth Using Prompt Elasto-Gravity Signals and Deep Learning. ERC TECTONIC: Workshop on The physics of earthquake faulting: machine learning to illuminate earthquake precursors and predict laboratory earthquakes, Sep 2021, Rome, Italy. ⟨hal-03558255⟩
  • Andrea Licciardi, Kerry Gallagher, Stephen Anthony Clark, Bart Willem Hendrik. Uncertainties on amount of erosion from porosity well-log data. European Geosciences Union General Assembly 2018, Apr 2018, Vienne, Austria. Geophysical Research Abstracts, 20, pp.EGU2018-13279, 2018. ⟨insu-01767710⟩