Zobrazeno 1 - 10
of 8 819
pro vyhledávání: '"Farinha A"'
Autor:
Mohammed, Wafaa, Agrawal, Sweta, Farajian, M. Amin, Cabarrão, Vera, Eikema, Bryan, Farinha, Ana C., de Souza, José G. C.
This paper presents the findings from the third edition of the Chat Translation Shared Task. As with previous editions, the task involved translating bilingual customer support conversations, specifically focusing on the impact of conversation contex
Externí odkaz:
http://arxiv.org/abs/2410.11624
Exploring chaotic systems via Poincar\'e sections has proven essential in dynamical systems, yet measuring their characteristics poses challenges to identify the various dynamical regimes considered. In this paper, we propose a new approach that uses
Externí odkaz:
http://arxiv.org/abs/2409.13086
Autor:
Wang, H., Banerjee, T., Farinha, T. G., Hanbicki, A. T., Fatemi, V., Palmer, B. S., Richardson, C. J. K.
A single crystal niobium thin film was grown using molecular beam epitaxy on a c-plane sapphire wafer. Several samples were fabricated into dc resistivity test devices and coplanar waveguide resonator chips using the same microfabrication procedures
Externí odkaz:
http://arxiv.org/abs/2402.18051
Autor:
Mendonça, John, Pereira, Patrícia, Menezes, Miguel, Cabarrão, Vera, Farinha, Ana C., Moniz, Helena, Carvalho, João Paulo, Lavie, Alon, Trancoso, Isabel
Task-oriented conversational datasets often lack topic variability and linguistic diversity. However, with the advent of Large Language Models (LLMs) pretrained on extensive, multilingual and diverse text data, these limitations seem overcome. Nevert
Externí odkaz:
http://arxiv.org/abs/2311.13910
Publikováno v:
SHS Web of Conferences, Vol 91, p 01029 (2021)
This essay aims to analyze the impact of the 2020 global pandemic on the memory properties of the Eastern Europe stock markets, from the period between 1 January 2016 to 2 September 2020, the sample was divided in two subperiods: 1 January 2016 to 30
Externí odkaz:
https://doaj.org/article/3ae190339f204432a63992e51e1c2102
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 12, Pp 1-17 (2024)
Abstract This article explores the development of Augmented Reality (AR) models for railway projects, as illustrated in Fig. 1, with particular emphasis on interoperability between different systems and platforms. The historical development of Buildi
Externí odkaz:
https://doaj.org/article/af763b6c58184b4da67f981914ac6456
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 12505-12527 (2024)
Dina Farinha,1,2 Ana Bela Sarmento-Ribeiro,2– 4 Henrique Faneca1,2 1CNC-UC - Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal; 2CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Coi
Externí odkaz:
https://doaj.org/article/d5645dbabc4a4867baa9f5182933a502
Autor:
Felipe Cicci Farinha Restini, Tarraf Torfeh, Souha Aouadi, Rabih Hammoud, Noora Al-Hammadi, Maria Thereza Mansur Starling, Cecília Felix Penido Mendes Sousa, Anselmo Mancini, Leticia Hernandes Brito, Fernanda Hayashida Yoshimoto, Nildevande Firmino Lima-Júnior, Marcello Moro Queiroz, Ula Lindoso Passos, Camila Trolez Amancio, Jorge Tomio Takahashi, Daniel De Souza Delgado, Samir Abdallah Hanna, Gustavo Nader Marta, Wellington Furtado Pimenta Neves-Junior
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Glioblastoma is an aggressive brain cancer with a poor prognosis. The O6-methylguanine-DNA methyltransferase (MGMT) gene methylation status is crucial for treatment stratification, yet economic constraints often limit access. This study aims
Externí odkaz:
https://doaj.org/article/95a696efcc964f33b263d71f2eac1417
Autor:
Farinha, Matilde Tristany, Ortner, Thomas, Dellaferrera, Giorgia, Grewe, Benjamin, Pantazi, Angeliki
Artificial Neural Networks (ANNs) trained with Backpropagation (BP) excel in different daily tasks but have a dangerous vulnerability: inputs with small targeted perturbations, also known as adversarial samples, can drastically disrupt their performa
Externí odkaz:
http://arxiv.org/abs/2309.17348
Autor:
Smith, Brandon, Farinha, Miguel, Hall, Siobhan Mackenzie, Kirk, Hannah Rose, Shtedritski, Aleksandar, Bain, Max
Vision-language models are growing in popularity and public visibility to generate, edit, and caption images at scale; but their outputs can perpetuate and amplify societal biases learned during pre-training on uncurated image-text pairs from the int
Externí odkaz:
http://arxiv.org/abs/2305.15407