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of 2 085
pro vyhledávání: '"A, Sarasua"'
Large language models (LLMs) are typically optimized for resource-rich languages like English, exacerbating the gap between high-resource and underrepresented languages. This work presents a detailed analysis of strategies for developing a model capa
Externí odkaz:
http://arxiv.org/abs/2412.13922
We investigate the efficacy of turbulent fountains as a tool for frost mitigation and pollution control in stratified ambient fluids. By examining the interaction between the ejected fountain fluid and the lower atmospheric layers, we develop predict
Externí odkaz:
http://arxiv.org/abs/2409.18919
Autor:
Rodríguez-de-Vera, Jesús M, Estepa, Imanol G, Sarasúa, Ignacio, Nagarajan, Bhalaji, Radeva, Petia
In the realm of self-supervised learning (SSL), conventional wisdom has gravitated towards the utility of massive, general domain datasets for pretraining robust backbones. In this paper, we challenge this idea by exploring if it is possible to bridg
Externí odkaz:
http://arxiv.org/abs/2407.03463
The effectiveness of Voting Advice Applications (VAA) is often compromised by the length of their questionnaires. To address user fatigue and incomplete responses, some applications (such as the Swiss Smartvote) offer a condensed version of their que
Externí odkaz:
http://arxiv.org/abs/2404.01872
Transient dynamics in viscoelastic fluids exhibits notable difference with their Newtonian counterpart. In this work we study the changes in the formation and decay of vortex of viscoelastic fluids due to degradation caused by shear stress. With this
Externí odkaz:
http://arxiv.org/abs/2312.16345
Nearest neighbour based methods have proved to be one of the most successful self-supervised learning (SSL) approaches due to their high generalization capabilities. However, their computational efficiency decreases when more than one neighbour is us
Externí odkaz:
http://arxiv.org/abs/2303.09417
Autor:
Villacorta, Pablo, Rodríguez-de-Vera, Jesús M., Bolaños, Marc, Sarasúa, Ignacio, Nagarajan, Bhalaji, Radeva, Petia
Fine-Grained Visual Recognition (FGVR) tackles the problem of distinguishing highly similar categories. One of the main approaches to FGVR, namely subset learning, tries to leverage information from existing class taxonomies to improve the performanc
Externí odkaz:
http://arxiv.org/abs/2303.09269
Turbulent fountains are widespread natural phenomena with numerous industrial applications. Extensive research has focused on the temporal evolution and maximum height of these fountains, as well as their dependence on Reynolds and Froude numbers. Ho
Externí odkaz:
http://arxiv.org/abs/2303.05140
Publikováno v:
Frontiers in Communication, Vol 9 (2024)
This mini-review advocates for the role of eye-tracking research in understanding readers’ engagement with multimodal texts. Synthesizing findings from a variety of studies, the review reveals how eye-tracking gives insights into sophisticated inte
Externí odkaz:
https://doaj.org/article/ba3e53c76b5f4196b45211bf47d8ce69
Autor:
Donna Schaare, Kendra Allison, Kara Skorge, Pangkong Fox, Laina Lusk, Sara M. Sarasua, Ingo Helbig, Luigi Boccuto
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionCACNA1A-related Hemiplegic Migraine (HM) is a rare neurological disorder distinguished by paroxysmal episodes of hemiparesis/hemiplegia with and without headache. Clinical features have been widely characterized, yet the impacts of the pa
Externí odkaz:
https://doaj.org/article/82917b19e876457ca4a512a089e9799f