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pro vyhledávání: '"P Amariles"'
Autor:
Chuai, Yuwei, Pilarski, Moritz, Renault, Thomas, Restrepo-Amariles, David, Troussel-Clément, Aurore, Lenzini, Gabriele, Pröllochs, Nicolas
Community-based fact-checking is a promising approach to verify social media content and correct misleading posts at scale. Yet, causal evidence regarding its effectiveness in reducing the spread of misinformation on social media is missing. Here, we
Externí odkaz:
http://arxiv.org/abs/2409.08781
We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in differenc
Externí odkaz:
http://arxiv.org/abs/2404.02803
Publikováno v:
Pharmaceutical Care España, Vol 19, Iss 3 (2017)
Introducción: En la práctica clínica se requiere de herramientas para valorar el conocimiento de los pacientes, siendo los cuestionarios uno de los instrumentos más comunes. En general, los cuestionarios o instrumentos que se utilizan son traduci
Externí odkaz:
https://doaj.org/article/a87b1562e4924099b4c78ba0abbe6e47
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 16, Iss , Pp 100524- (2024)
Background: There is a need to explore pharmacological options for syndrome (FMS), such as medical cannabis. The aim of this systematic review was to synthesize and analyze the available information about the effectiveness/efficacy and safety of cann
Externí odkaz:
https://doaj.org/article/c37adce4f1344e65931632d4c20cb940
Autor:
Savelka, Jaromir, Westermann, Hannes, Benyekhlef, Karim, Alexander, Charlotte S., Grant, Jayla C., Amariles, David Restrepo, Hamdani, Rajaa El, Meeùs, Sébastien, Araszkiewicz, Michał, Ashley, Kevin D., Ashley, Alexandra, Branting, Karl, Falduti, Mattia, Grabmair, Matthias, Harašta, Jakub, Novotná, Tereza, Tippett, Elizabeth, Johnson, Shiwanni
Publikováno v:
In Proceedings of ICAIL 2021, pp. 129-138. 2021
In this paper, we examine the use of multi-lingual sentence embeddings to transfer predictive models for functional segmentation of adjudicatory decisions across jurisdictions, legal systems (common and civil law), languages, and domains (i.e. contex
Externí odkaz:
http://arxiv.org/abs/2112.07882
Autor:
Douka, Stella, Abdine, Hadi, Vazirgiannis, Michalis, Hamdani, Rajaa El, Amariles, David Restrepo
Language models have proven to be very useful when adapted to specific domains. Nonetheless, little research has been done on the adaptation of domain-specific BERT models in the French language. In this paper, we focus on creating a language model a
Externí odkaz:
http://arxiv.org/abs/2110.01485
Most prominent research today addresses compliance with data protection laws through consumer-centric and public-regulatory approaches. We shift this perspective with the Privatech project to focus on corporations and law firms as agents of complianc
Externí odkaz:
http://arxiv.org/abs/2012.12718
Autor:
Boniol, Paul, Panagopoulos, George, Xypolopoulos, Christos, Hamdani, Rajaa El, Amariles, David Restrepo, Vazirgiannis, Michalis
Artificial Intelligence techniques are already popular and important in the legal domain. We extract legal indicators from judicial judgment to decrease the asymmetry of information of the legal system and the access-to-justice gap. We use NLP method
Externí odkaz:
http://arxiv.org/abs/2006.06251
Akademický článek
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Autor:
Andrés Felipe Vásquez-Niño, José Rodolfo Ochoa-Alzate, Daniel Osorio-Amariles, Henry Alberto Rodríguez-Quirós
Publikováno v:
Revista Facultad de Odontología Universidad de Antioquia, Vol 33, Iss 1, Pp 6-16 (2022)
Introduction: the emerging manufacture technologies for dental restorations have brought new materials with them, such as 3D-printing resins and CAD/CAM discs for the manufacturing of denture bases. Currently, there is no rigorous mechanical characte
Externí odkaz:
https://doaj.org/article/19aa79cef7d94a3080e3706c4585c0d5