Paolo Mazzanti
Biographic Data
| ID | 6878082 |
|---|---|
| NAME | Paolo Mazzanti |
| GIVEN NAMES | Paolo |
| FAMILY NAME | Mazzanti |
| SIGNATURE | MAZZANTI P |
| AFFILIATIONS | University of Florence |
| ORCID | 0009-0000-6123-2452 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Reshaping Museum Experiences with AI
This paper presents the ReInHerit Toolkit, a collection of open-source interactive applications developed as part of the H2020 ReInHerit project. Informed by extensive surveys and focus groups with cultural professionals across Europe, the toolkit addresses key needs in the heritage sector by leveraging computer vision and artificial intelligence to enrich museum experiences through engaging, personalized interactions that enhance visitor learnin…
Geological and geomorphological analysis of a complex landslides system
This work deals with the landslides affecting the area surrounding the village of San Martino sulla Marrucina and involving the neighboring municipalities of Casacanditella and Filetto. The geological and geomorphological settings of this area are being discussed. The enclosed maps have been realized following a multidisciplinary approach, based on morphometric, geological, and geomorphological analyses and supported by air-photo interpretation, …
No prominent works on this page.
Geological and geomorphological analysis of a complex landslides system
This work deals with the landslides affecting the area surrounding the village of San Martino sulla Marrucina and involving the neighboring municipalities of Casacanditella and Filetto. The geological and geomorphological settings of this area are being discussed. The enclosed maps have been realized following a multidisciplinary approach, based on morphometric, geological, and geomorphological analyses and supported by air-photo interpretation, …
Reshaping Museum Experiences with AI
This paper presents the ReInHerit Toolkit, a collection of open-source interactive applications developed as part of the H2020 ReInHerit project. Informed by extensive surveys and focus groups with cultural professionals across Europe, the toolkit addresses key needs in the heritage sector by leveraging computer vision and artificial intelligence to enrich museum experiences through engaging, personalized interactions that enhance visitor learnin…
Aesthetic Perception and Analysis (1 work) · Cartography (1 work) · Computer Science (1 work) · Cryospheric studies and observations (1 work) · Debris (1 work) · Debris flow (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Geography (1 work) · Geologic map (1 work) · Geology (1 work)