Zobrazeno 1 - 10
of 19 760
pro vyhledávání: '"A. Castano"'
In this article we characterize the equivalent algebraic semantics for the one-variable monadic fragment of the first-order logic ${\cal G} \forall_{\sim}$ defined by F. Esteva, L. Godo, P. H\'ajek and M. Navara in Residuated fuzzy logics with an inv
Externí odkaz:
http://arxiv.org/abs/2411.11097
Autor:
H. Mee, A. Castano Leon, F. Anwar, K. Grieve, N. Owen, C. Turner, G. Whiting, E. Viaroli, I. Timofeev, A. Helmy, A. Kolias, P. Hutchinson
Publikováno v:
Brain and Spine, Vol 3, Iss , Pp 101735- (2023)
Background: There is wide-ranging published literature around cranioplasty following traumatic brain injury (TBI) and stroke, but the heterogeneity of outcomes limits the ability for meta-analysis. Consensus on appropriate outcome measures has not be
Externí odkaz:
https://doaj.org/article/04c0f396b6804880ae5b4a4c45e2f3ac
Autor:
Goulart, D., Sindhwad, A. M., Jackson, H. M., Kowitt, N. I., Dones, K. A., Basurto, P. Castaño, Dawes, A., Lewis, S. M., van Bibber, K.
Current and future searches for dark matter axions, based on their resonant conversion to photons in a magnetic field, span many orders of magnitude, from the very low mass GUT-scale axion to the very high mass post-inflation axion. The higher end of
Externí odkaz:
http://arxiv.org/abs/2411.18914
We study the influence of thermal fluctuations on the two-time correlation functions of bosonic baths within a superstatistics framework by assuming that fluctuations follow the gamma distribution. We further establish a connection between superstati
Externí odkaz:
http://arxiv.org/abs/2411.12942
Autor:
de Martino, Vincenzo, Castaño, Joel, Palomba, Fabio, Franch, Xavier, Martínez-Fernández, Silverio
Context: The emergence of Large Language Models (LLMs) has significantly transformed Software Engineering (SE) by providing innovative methods for analyzing software repositories. Objectives: Our objective is to establish a practical framework for fu
Externí odkaz:
http://arxiv.org/abs/2411.09974
The proliferation of Machine Learning (ML) models and their open-source implementations has transformed Artificial Intelligence research and applications. Platforms like Hugging Face (HF) enable the development, sharing, and deployment of these model
Externí odkaz:
http://arxiv.org/abs/2411.09645
Autor:
de Arriba-Pérez, Francisco, García-Méndez, Silvia, Otero-Mosquera, Javier, González-Castaño, Francisco J.
Publikováno v:
Applied Intelligence, 1-16 (2024)
Cognitive and neurological impairments are very common, but only a small proportion of affected individuals are diagnosed and treated, partly because of the high costs associated with frequent screening. Detecting pre-illness stages and analyzing the
Externí odkaz:
http://arxiv.org/abs/2411.02036
Autor:
Castaño-Amoros, Julio, Gil, Pablo
Tactile sensors have been used for force estimation in the past, especially Vision-Based Tactile Sensors (VBTS) have recently become a new trend due to their high spatial resolution and low cost. In this work, we have designed and implemented several
Externí odkaz:
http://arxiv.org/abs/2410.22825
Reinforcement learning with human feedback (RLHF) is shown to largely benefit from precise reward models (RMs). However, recent studies in reward modeling schemes are skewed towards English, limiting the applicability of RLHF in multilingual alignmen
Externí odkaz:
http://arxiv.org/abs/2410.18027
Publikováno v:
In: Parziale, A., Diaz, M., Melo, F. (eds) Graphonomics in Human Body Movement. IGS 2023. Lecture Notes in Computer Science, vol 14285. Springer, Cham
This paper examines the saturation of pressure signals during various handwriting tasks, including drawings, cursive text, capital words text, and signature, under different levels of fatigue. Experimental results demonstrate a significant rise in th
Externí odkaz:
http://arxiv.org/abs/2411.04128