Paloma Aliende
Biographic Data
| ID | 6452035 |
|---|---|
| NAME | Paloma Aliende |
| GIVEN NAMES | Paloma |
| FAMILY NAME | Aliende |
| SIGNATURE | ALIENDE P |
| AFFILIATIONS | Landscape Archaeology Research Group (GIAP) Catalan Institute of Classical Archaeology Tarragona Spain |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms
New developments in drone‐based automated surface survey
This paper presents new developments on drone‐based automated survey for the detection of individual items or fragments of material culture visible on the ground surface. Since the publication of our original proof of concept, awarded with the Journal of Archaeological Science and Society for Archaeological Sciences Emerging Investigator Award 2019, additional funding has allowed us to implement a series of improvements to the method. These aim t…
Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms
Artificial Intelligence (2 works) · Computer Science (2 works) · 3D Surveying and Cultural Heritage (1 work) · Aerial Survey (1 work) · Algorithm (1 work) · Archaeological Research and Protection (1 work) · Archaeology (1 work) · Archaeology and ancient environmental studies (1 work) · Autonomy (1 work) · Control (management (1 work)