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Stagnini, E
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1

Machine Learning for Damage Classification, Risk Mitigation..:

, In: Lecture Notes in Civil Engineering; Proceedings of the 7th International Conference on Earthquake Engineering and Seismology,
Di Michele, F. ; Giannopoulou, O. ; Stagnini, E.... - p. 181-190 , 2024
Link: https://doi.org/10.1007/..
 
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2

Numerical Simulations of 1461 and 1762 San Pio delle Camere..:

, In: Computational Science and Its Applications – ICCSA 2023 Workshops; Lecture Notes in Computer Science,
Pera, Donato ; Di Michele, F. ; Stagnini, E.... - p. 549-565 , 2023
Link: https://doi.org/10.1007/..
 
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3

Comparison of machine learning tools for damage classificat..:

Di Michele, F. ; Stagnini, E. ; Pera, D....
Natural Hazards.  116 (2023)  3 - p. 3521-3546 , 2023
Link: https://doi.org/10.1007/..
 
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4

L'Aquila earthquake (April 6th 2009, Central Apennine, Ital..:

De Rose, C. ; Ferrini, G. ; Moretti, A..
Environmental Earth Sciences.  65 (2011)  6 - p. 1737-1749 , 2011
Link: https://doi.org/10.1007/..
 
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5

Comparison of machine learning tools for damage classificat..:

Pera, D ; Marcati, P ; Aloisio, R...
213aa771-f912-4e61-abee-a4416bba41bf.  , 2023
Link: https://doi.org/10.1007/..
 
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6

Is Tuber brumale a threat to T. melanosporum and T. aestivu..:

Ori, F ; Leonardi, P ; Stagnini, E...
info:eu-repo/semantics/altIdentifier/wos/WOS:000451559100002.  , 2018
Link: http://hdl.handle.net/11..
 
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7

Is Tuber brumale a threat to T. melanosporum and T. aestivu..:

Ori F ; Leonardi P ; Stagnini E...
https://iforest.sisef.org/contents/?id=ifor2785-011.  , 2018
Link: https://doi.org/10.3832/..
 
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