Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Giacomo Friso"'
Autor:
Giovanni Serafini, Davide Foffa, Mark T Young, Giacomo Friso, Miriam Cobianchi, Luca Giusberti
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0293614 (2023)
Despite their extremely rare and fragmentary record, aquatic crocodylomorphs from the Middle to Upper Jurassic (Bajocian-Tithonian) Rosso Ammonitico Veronese (RAV) of northeastern Italy have sparked interest since the late 18th century. Among marine
Externí odkaz:
https://doaj.org/article/f09bef2702524ebe9ce79eb2fd92618c
Autor:
Giovanni Serafini, Davide Foffa, Mark T. Young, Giacomo Friso, Miriam Cobianchi, Luca Giusberti
Publikováno v:
PLoS ONE, Vol 18, Iss 10 (2023)
Externí odkaz:
https://doaj.org/article/150af88b91cf43f28d5646206cf02812
Autor:
Gianluca Moro, Luca Ragazzi, Lorenzo Valgimigli, Giacomo Frisoni, Claudio Sartori, Gustavo Marfia
Publikováno v:
Sensors, Vol 23, Iss 7, p 3542 (2023)
Long document summarization poses obstacles to current generative transformer-based models because of the broad context to process and understand. Indeed, detecting long-range dependencies is still challenging for today’s state-of-the-art solutions
Externí odkaz:
https://doaj.org/article/7627d7d1091841449dd611da73664e79
Publikováno v:
IEEE Access, Vol 9, Pp 160721-160757 (2021)
Motivation: The scientific literature embeds an enormous amount of relational knowledge, encompassing interactions between biomedical entities, like proteins, drugs, and symptoms. To cope with the ever-increasing number of publications, researchers a
Externí odkaz:
https://doaj.org/article/5179551639c94091bdb96560fc1907aa
Publikováno v:
Sensors, Vol 22, Iss 4, p 1656 (2022)
This paper studies the problem of detecting human beings in non-line-of-sight (NLOS) conditions using an ultra-wideband radar. We perform an extensive measurement campaign in realistic environments, considering different body orientations, the obstac
Externí odkaz:
https://doaj.org/article/80054abe85f743439ca9b2e499f48fd7
Publikováno v:
Sensors, Vol 22, Iss 1, p 3 (2021)
The automatic extraction of biomedical events from the scientific literature has drawn keen interest in the last several years, recognizing complex and semantically rich graphical interactions otherwise buried in texts. However, very few works revolv
Externí odkaz:
https://doaj.org/article/a72ec709a3fa49a5b30245e3affcd9a9