Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Sergio A, Rodriguez"'
The proposed research aims to develop an innovative semantic query processing system that enables users to obtain comprehensive information about research works produced by Computer Science (CS) researchers at the Australian National University (ANU)
Externí odkaz:
http://arxiv.org/abs/2405.15374
Autor:
Nguyen, Tuan Dung, Ting, Yuan-Sen, Ciucă, Ioana, O'Neill, Charlie, Sun, Ze-Chang, Jabłońska, Maja, Kruk, Sandor, Perkowski, Ernest, Miller, Jack, Li, Jason, Peek, Josh, Iyer, Kartheik, Różański, Tomasz, Khetarpal, Pranav, Zaman, Sharaf, Brodrick, David, Méndez, Sergio J. Rodríguez, Bui, Thang, Goodman, Alyssa, Accomazzi, Alberto, Naiman, Jill, Cranney, Jesse, Schawinski, Kevin, UniverseTBD
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy. To bridge this gap, we introduce AstroLLaMA, a 7-billion-parameter model fine-tuned from LLaMA-2 using over 300,000 astr
Externí odkaz:
http://arxiv.org/abs/2309.06126
Autor:
Tamás Pivarcsik, Jakob Kljun, Sergio Clemente Rodriguez, David Cortéz Alcaraz, Uroš Rapuš, Márta Nové, Egon F Várkonyi, József Nyári, Anita Bogdanov, Gabriella Spengler, Iztok Turel, Éva A. Enyedy
Publikováno v:
ACS Omega, Vol 9, Iss 44, Pp 44601-44615 (2024)
Externí odkaz:
https://doaj.org/article/f1f1d15106bb40fa9469648a4a03909f
Autor:
Edgardo Maximiliano Gavilán-Arriazu, Rubén Darío Alaniz, Patcharawat Charoen-amornkitt, Juan Manuel Fernández, Gastón Darío Pierini, Sergio Antonio Rodriguez
Publikováno v:
ACS Organic & Inorganic Au, Vol 4, Iss 6, Pp 692-704 (2024)
Externí odkaz:
https://doaj.org/article/7fb3ccd594124dfb863565f089b89967
Text simplification is one of the domains in Natural Language Processing (NLP) that offers an opportunity to understand the text in a simplified manner for exploration. However, it is always hard to understand and retrieve knowledge from unstructured
Externí odkaz:
http://arxiv.org/abs/2304.07774
Autor:
Neil C. Dalvie, Timothy R. Lorgeree, Yuchen Yang, Sergio A. Rodriguez-Aponte, Charles A. Whittaker, Joshua A. Hinckley, John J. Clark, Amanda M. Del Rosario, Kerry R. Love, J. Christopher Love
Publikováno v:
Microbial Cell Factories, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background The yeast Komagataella phaffii is widely used for manufacturing recombinant proteins, but secreted titers of recombinant proteins could be improved by genetic engineering. In this study, we hypothesized that cellular resources cou
Externí odkaz:
https://doaj.org/article/85999b86316148c5b7e4f35b9ac6ca09
Data mining techniques can transform massive amounts of unstructured data into quantitative data that quickly reveal insights, trends, and patterns behind the original data. In this paper, a data mining model is applied to analyse the 2019 grant appl
Externí odkaz:
http://arxiv.org/abs/2210.16843
Autor:
Olivia Ferrández, Santiago Grau, Elena Colominas-González, María Eugenia Navarrete-Rouco, Nuria Carballo-Martínez, Marta De Antonio-Cuscó, Xènia Fernández-Sala, Laura Rio-No, Oscar Fando Romera, Maria Berzosa Malagon, Sergio Pineda Rodriguez, Noelia Torres Rius, Xavier Duran-Jordà, Cristina Rodríguez-Caba, Jordi Casas-Sánchez, Félix Caro Herranz, Caridad Pontes-García
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
GoalTo describe the experience of a dispensing model of outpatient hospital medicines (OHM) via collaboration of hospital and community pharmacies, and to explore patient satisfaction with the strategy as compared with the hospital pharmacy only serv
Externí odkaz:
https://doaj.org/article/2f6692eee15048afb72f4000ba15f009
Autor:
Seneviratne, Sandaru, Méndez, Sergio J. Rodríguez, Zhang, Xuecheng, Omran, Pouya G., Taylor, Kerry, Haller, Armin
Extraction of categorised named entities from text is a complex task given the availability of a variety of Named Entity Recognition (NER) models and the unstructured information encoded in different source document formats. Processing the documents
Externí odkaz:
http://arxiv.org/abs/2108.13700
Autor:
Giulia Ambrosini, Marco Cordani, Ali Zarrabi, Sergio Alcon-Rodriguez, Rosa M. Sainz, Guillermo Velasco, Pedro Gonzalez-Menendez, Ilaria Dando
Publikováno v:
Cell Communication and Signaling, Vol 22, Iss 1, Pp 1-22 (2024)
Abstract Prostate cancer, as one of the most prevalent malignancies in males, exhibits an approximate 5-year survival rate of 95% in advanced stages. A myriad of molecular events and mutations, including the accumulation of oncometabolites, underpin
Externí odkaz:
https://doaj.org/article/f7de861908ba488998eaa45fa750eeaf