Zobrazeno 1 - 10
of 561 500
pro vyhledávání: '"P. A. Jose"'
This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and permutation feature importance are proposed to mine omics datasets, gu
Externí odkaz:
http://arxiv.org/abs/2410.18864
We show that the extension map \[ \mathcal{E}_{NS}(f)(z)=\frac{f(x+y)+f(x-y)}{2}+i\frac{f(x+y)-f(x-y)}{2}\mbox{ for all }z=x+iy\in\mathbb{H}\,, \] defined by Norton and Sullivan in '96, is the only locally linear extension map taking bi-Lipschitz fun
Externí odkaz:
http://arxiv.org/abs/2409.19805
Autor:
Martins, Pedro Henrique, Fernandes, Patrick, Alves, João, Guerreiro, Nuno M., Rei, Ricardo, Alves, Duarte M., Pombal, José, Farajian, Amin, Faysse, Manuel, Klimaszewski, Mateusz, Colombo, Pierre, Haddow, Barry, de Souza, José G. C., Birch, Alexandra, Martins, André F. T.
The quality of open-weight LLMs has seen significant improvement, yet they remain predominantly focused on English. In this paper, we introduce the EuroLLM project, aimed at developing a suite of open-weight multilingual LLMs capable of understanding
Externí odkaz:
http://arxiv.org/abs/2409.16235
Autor:
Gutierrez-Martin, Laura, Ongil, Celia Lopez, Lanza-Gutierrez, Jose M., Calero, Jose A. Miranda
Emotion recognition through artificial intelligence and smart sensing of physical and physiological signals (Affective Computing) is achieving very interesting results in terms of accuracy, inference times, and user-independent models. In this sense,
Externí odkaz:
http://arxiv.org/abs/2410.03696
Autor:
Sanjurjo-Ferrín, Graciela, Torrejón, Jose Miguel, Oskinova, Lida, Postnov, Konstantin, Rodes-Roca, Jose Joaquín, Schulz, Norbert, Nowak, Michael
Cen X-3 is a compact, high-mass X-ray binary (HMXRB), likely powered by Roche lobe overflow. We present a phase-resolved X-ray spectral and timing analysis of a target of opportunity \textit{Chandra} observation made during a low-flux to high-flux tr
Externí odkaz:
http://arxiv.org/abs/2409.13320
Publikováno v:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023. Lecture Notes in Computer Science, vol 14294. Springer, Cham
Learning Bayesian Networks (BNs) from high-dimensional data is a complex and time-consuming task. Although there are approaches based on horizontal (instances) or vertical (variables) partitioning in the literature, none can guarantee the same theore
Externí odkaz:
http://arxiv.org/abs/2409.13314
In this project, we employ the short-distance factorization to compute the distribution amplitude of the $\eta_c$-meson from Lattice QCD at leading twist. We employ a set of CLS $N_f=2$ ensembles at three lattice spacings and various quark masses to
Externí odkaz:
http://arxiv.org/abs/2409.12084
Autor:
Millan-Romera, Jose Andres, Bavle, Hriday, Shaheer, Muhammad, Voos, Holger, Sanchez-Lopez, Jose Luis
Understanding the relationships between geometric structures and semantic concepts is crucial for building accurate models of complex environments. In indoors, certain spatial constraints, such as the relative positioning of planes, remain consistent
Externí odkaz:
http://arxiv.org/abs/2409.11972
Autor:
Chen, Xinjie, Ocampo-Pineda, Mario, Lu, Po-Jui, Ekerdt, Clara, Weigel, Matthias, Jansen, Michelle G., Cagol, Alessandro, Chan, Kwok-Shing, Schädelin, Sabine, Zwiers, Marcel, Oosterman, Joukje M., Norris, David G., Bayer, Johanna M. M., Marquand, Andre F., Menks, Willeke M., Kuhle, Jens, Kappos, Ludwig, Melie-Garcia, Lester, Granziera, Cristina, Marques, José P.
Background: Brain maturation and aging involve significant microstructural changes, resulting in functional and cognitive alterations. Quantitative MRI (qMRI) can measure this evolution, distinguishing the physiological effects of normal aging from p
Externí odkaz:
http://arxiv.org/abs/2411.00661
In this article, we address aquatic environmental monitoring using a fleet of unmanned surface vehicles (USVs). Specifically, we develop an online path generator that provides either of circular or elliptic paths based on the real-time feedback so th
Externí odkaz:
http://arxiv.org/abs/2411.00579