Zobrazeno 1 - 10
of 767
pro vyhledávání: '"Foppiano, A."'
Publikováno v:
Science and Technology of Advanced Materials: Methods (2024)
This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3.5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science. To this end, we primarily focus o
Externí odkaz:
http://arxiv.org/abs/2401.11052
Autor:
Foppiano, Luca, Mato, Tomoya, Terashima, Kensei, Suarez, Pedro Ortiz, Tou, Taku, Sakai, Chikako, Wang, Wei-Sheng, Amagasa, Toshiyuki, Takano, Yoshihiko, Ishii, Masashi
We propose a semi-automatic staging area for efficiently building an accurate database of experimental physical properties of superconductors from literature, called SuperCon2, to enrich the existing manually-built superconductor database SuperCon. H
Externí odkaz:
http://arxiv.org/abs/2309.10923
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3.5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science. To this end, we primarily focus o
Externí odkaz:
https://doaj.org/article/e059477700d240c59defab33b00196e8
Autor:
Foppiano, Luca, de Castro, Pedro Baptista, Suarez, Pedro Ortiz, Terashima, Kensei, Takano, Yoshihiko, Ishii, Masashi
Publikováno v:
STAM:M, 2023, VOL. 3, NO. 1, 2153633
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials science (Materials Informatics). In this paper, we discuss Grobid-superconductors, our solution for automaticall
Externí odkaz:
http://arxiv.org/abs/2210.15600
Autor:
Castillo-Rivera, Carlos a, ⁎, Bravo, Manuel b, Calisto, Ignacia c, González, Juan d, f, Urra, Benjamín b, Benavente, Roberto e, f, Foppiano, Alberto b, Figueroa, Dante c, Ovalle, Elías b
Publikováno v:
In Advances in Space Research 1 January 2025 75(1):1033-1051
Autor:
Palacios, Carlo Foppiano1 (AUTHOR) foppianopalacios-car@cooperhealth.edu, Chowdhary, Vaidehi2 (AUTHOR), Hao, Ritche1 (AUTHOR), Danve, Abhijeet2 (AUTHOR), Malinis, Maricar1,3 (AUTHOR) foppianopalacios-car@cooperhealth.edu
Publikováno v:
PLoS ONE. 7/3/2024, Vol. 19 Issue 7, p1-7. 7p.
Autor:
Foppiano, Luca, Dieb, Sae, Suzuki, Akira, de Castro, Pedro Baptista, Iwasaki, Suguru, Uzuki, Azusa, Echevarria, Miren Garbine Esparza, Meng, Yan, Terashima, Kensei, Romary, Laurent, Takano, Yoshihiko, Ishii, Masashi
Publikováno v:
STAM:M, 2021, VOL. 1, NO. 1, 34-44
A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way towards data-
Externí odkaz:
http://arxiv.org/abs/2101.02455
Publikováno v:
In Journal of Atmospheric and Solar-Terrestrial Physics March 2024 256
Autor:
Francesco Foppiano, Bianca Schaub
Publikováno v:
Molecular and Cellular Pediatrics, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract Background Asthma is an inflammatory lung disease that constitutes the most common noncommunicable chronic disease in childhood. Childhood asthma shows large heterogeneity regarding onset of disease, symptoms, severity, prognosis, and respon
Externí odkaz:
https://doaj.org/article/8b2392aa1c3d4312bdf21ae2c6465bc5
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0306337 (2024)
ObjectivePatients living with rheumatologic diseases on disease-modifying antirheumatic drugs (DMARD) are at an increased risk of developing tuberculosis (TB). Current guidelines recommend screening for latent tuberculosis infection (LTBI) before ini
Externí odkaz:
https://doaj.org/article/c55aaac4d16442b6a550dc59b13a7fc1