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26 Jun 2023
ARTIFICIAL INTELLIGENCE AND CULTURAL HERITAGE: DESIGN AND ASSESSMENT OF AN ETHICAL FRAMEWORK
S. Pansoni, S. Tiribelli, M. Paolanti, F. Di Stefano, E. Frontoni, E. S. Malinverni, and B. Giovanola
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A COMPARISON OF PRE-PROCESSING APPROACHES FOR REMOTELY SENSED TIME SERIES CLASSIFICATION BASED ON FUNCTIONAL ANALYSIS
M. Balestra, R. Pierdicca, L. Cesaretti, G. Quattrini, A. Mancini, A. Galli, E. S. Malinverni, S. Casavecchia, and S. Pesaresi
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ARTIFICIAL INTELLIGENCE TO FIGHT ILLICIT TRAFFICKING OF CULTURAL PROPERTY
D. Abate, A. Agapiou, K. Toumbas, A. Lampropoulos, K. Petrides, R. Pierdicca, M. Paolanti, F. Di Stefano, A. Felicetti, E. S. Malinverni, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-2-2023, 3–10, https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023,https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-3-2023, 2023
GEOMATIC TECHNOLOGIES TO VALORIZE HISTORICAL WATERMILLS
F. Di Stefano, M. Sanità, E. S. Malinverni, and G. Doti
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SIGNIFICANCE. STOP ILLICIT HERITAGE TRAFFICKING WITH ARTIFICIAL INTELLIGENCE
D. Abate, M. Paolanti, R. Pierdicca, A. Lampropoulos, K. Toumbas, A. Agapiou, S. Vergis, E. Malinverni, K. Petrides, A. Felicetti, and P. Zingaretti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 729–736, https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022,https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-729-2022, 2022
INTEGRATION OF GEOMATIC TECHNIQUES FOR THE 3D REPRESENTATION AND MONITORING OF A VETERAN CHESTNUT TREE
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 833–839, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-833-2022, 2022
COST EFFECTIVE SPHERICAL PHOTOGRAMMETRY: A NOVEL FRAMEWORK FOR THE SMART MANAGEMENT OF COMPLEX URBAN ENVIRONMENTS
S. Chiappini, A. Fini, E. S. Malinverni, E. Frontoni, G. Racioppi, and R. Pierdicca
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 441–448, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020,https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-441-2020, 2020
A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION
F. Matrone, A. Lingua, R. Pierdicca, E. S. Malinverni, M. Paolanti, E. Grilli, F. Remondino, A. Murtiyoso, and T. Landes
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DEEP LEARNING FOR SEMANTIC SEGMENTATION OF 3D POINT CLOUD
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W15, 735–742, https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W15-735-2019, 2019
DEEP CONVOLUTIONAL NEURAL NETWORKS FOR SENTIMENT ANALYSIS OF CULTURAL HERITAGE
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HOW TO EXTRACT USEFUL INFORMATION ABOUT THE DECAY OF BASS RELIEVES IN ARCHAEOLOGICAL AREA
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DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 893–900, https://doi.org/10.5194/isprs-archives-XLII-2-893-2018,https://doi.org/10.5194/isprs-archives-XLII-2-893-2018, 2018
CONSERVATION-ORIENTED HBIM. THE BIMEXPLORER WEB TOOL
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