Zobrazeno 1 - 10
of 2 831
pro vyhledávání: '"Verdecchia, P."'
The substantial increase in AI model training has considerable environmental implications, mandating more energy-efficient and sustainable AI practices. On the one hand, data-centric approaches show great potential towards training energy-efficient A
Externí odkaz:
http://arxiv.org/abs/2402.12010
Autor:
Khanmohammadi, Reza, Ghanem, Ahmed I, Verdecchia, Kyle, Hall, Ryan, Elshaikh, Mohamed, Movsas, Benjamin, Bagher-Ebadian, Hassan, Chetty, Indrin, Ghassemi, Mohammad M., Thind, Kundan
This study introduces a novel teacher-student architecture utilizing Large Language Models (LLMs) to improve prostate cancer radiotherapy symptom extraction from clinical notes. Mixtral, the student model, initially extracts symptoms, followed by GPT
Externí odkaz:
http://arxiv.org/abs/2402.04075
Autor:
Khanmohammadi, Reza, Ghassemi, Mohammad M., Verdecchia, Kyle, Ghanem, Ahmed I., Bing, Luo, Chetty, Indrin J., Bagher-Ebadian, Hassan, Siddiqui, Farzan, Elshaikh, Mohamed, Movsas, Benjamin, Thind, Kundan
Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnostic and prognostic models. NLP enables the conversion of unstructured c
Externí odkaz:
http://arxiv.org/abs/2311.02205
Autor:
Edbert, Joshua Aldrich, Oishwee, Sahrima Jannat, Karmakar, Shubhashis, Codabux, Zadia, Verdecchia, Roberto
Background: Software security is crucial to ensure that the users are protected from undesirable consequences such as malware attacks which can result in loss of data and, subsequently, financial loss. Technical Debt (TD) is a metaphor incurred by su
Externí odkaz:
http://arxiv.org/abs/2307.11387
With the ever-growing adoption of AI-based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves accountable for the carbon emissions of the AI models they design and use.
Externí odkaz:
http://arxiv.org/abs/2301.11047
Publikováno v:
Software, Vol 3, Iss 1, Pp 107-145 (2024)
Architecture principles affect a software system holistically. Given their alignment with a business strategy, they should be incorporated within the validation process covering aspects of sustainability. However, current research discusses the influ
Externí odkaz:
https://doaj.org/article/3c1530315da5471281878865683cb539
Autor:
Muñoz Pérez Carlos, Verdecchia Matías
Publikováno v:
Zeitschrift für Sprachwissenschaft, Vol 42, Iss 3, Pp 525-548 (2023)
This paper offers a description and analysis of the clausal doubling construction, and contrasts it with predicate doubling based on their formal and verum-related properties. The study shows that the behavior of both patterns can be captured by exte
Externí odkaz:
https://doaj.org/article/94c24dbb4bb24bac9e70b6089f039653
Autor:
Carlos Muñoz Pérez, Matías Verdecchia
Publikováno v:
Lingüística, Vol 39, Iss 2, Pp 75-88 (2023)
Este trabajo presenta un estudio sobre los patrones de doblado en español que sigue la línea de análisis de Muñoz Pérez y Verdecchia (2022). Se introduce un patrón de doblado que no se ha discutido previamente en la bibliografía, el doblado cl
Externí odkaz:
https://doaj.org/article/69780ce883384ee68198fb40a808ad78
Autor:
Verdecchia, Roberto, Cruz, Luís, Sallou, June, Lin, Michelle, Wickenden, James, Hotellier, Estelle
With the growing availability of large-scale datasets, and the popularization of affordable storage and computational capabilities, the energy consumed by AI is becoming a growing concern. To address this issue, in recent years, studies have focused
Externí odkaz:
http://arxiv.org/abs/2204.02766
Autor:
Valérie Tikhonoff, Edoardo Casiglia, Agostino Virdis, Guido Grassi, Fabio Angeli, Marcello Arca, Carlo M. Barbagallo, Michele Bombelli, Federica Cappelli, Rosario Cianci, Arrigo F. G. Cicero, Massimo Cirillo, Pietro Cirillo, Raffaella Dell'oro, Lanfranco D'elia, Giovambattista Desideri, Claudio Ferri, Ferruccio Galletti, Loreto Gesualdo, Cristina Giannattasio, Guido Iaccarino, Francesca Mallamaci, Alessandro Maloberti, Stefano Masi, Maria Masulli, Alberto Mazza, Alessandro Mengozzi, Maria Lorenza Muiesan, Pietro Nazzaro, Paolo Palatini, Gianfranco Parati, Roberto Pontremoli, Fosca Quarti‐Trevano, Marcello Rattazzi, Gianpaolo Reboldi, Giulia Rivasi, Elisa Russo, Massimo Salvetti, Pier Luigi Temporelli, Giuliano Tocci, Andrea Ungar, Paolo Verdecchia, Francesca Viazzi, Massimo Volpe, Claudio Borghi
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 3 (2024)
Background Despite longstanding epidemiologic data on the association between increased serum triglycerides and cardiovascular events, the exact level at which risk begins to rise is unclear. The Working Group on Uric Acid and Cardiovascular Risk of
Externí odkaz:
https://doaj.org/article/7b5613ce4a8c415dae040f8f459d4208