Zobrazeno 1 - 10
of 2 836
pro vyhledávání: '"González P, Miguel"'
Data-driven approaches to philosophy have emerged as a valuable tool for studying the history of the discipline. However, most studies in this area have focused on a limited number of journals from specific regions and subfields. We expand the scope
Externí odkaz:
http://arxiv.org/abs/2412.04236
The dynamics of personal relationships remain largely unexplored due to the inherent difficulties of the longitudinal data collection process. In this paper, we analyse a dataset tracking the temporal evolution of a network of personal relationships
Externí odkaz:
http://arxiv.org/abs/2410.11635
Autor:
Flores-Araiza, Daniel, Lopez-Tiro, Francisco, Larose, Clément, Hinojosa, Salvador, Mendez-Vazquez, Andres, Gonzalez-Mendoza, Miguel, Ochoa-Ruiz, Gilberto, Daul, Christian
The in-vivo identification of the kidney stone types during an ureteroscopy would be a major medical advance in urology, as it could reduce the time of the tedious renal calculi extraction process, while diminishing infection risks. Furthermore, such
Externí odkaz:
http://arxiv.org/abs/2409.12883
Autor:
Bermúdez-Bustamante, Luis C., De Marco, Orsola, Siess, Lionel, Price, Daniel J., González-Bolívar, Miguel, Lau, Mike Y. M., Mu, Chunliang, Hirai, Ryosuke, Danilovich, Taïssa, Kasliwal, Mansi
We performed numerical simulations of the common envelope (CE) interaction between two intermediate-mass asymptotic giant branch (AGB) stars and their low-mass companions. For the first time, formation and growth of dust in the envelope is calculated
Externí odkaz:
http://arxiv.org/abs/2407.07414
Autor:
González-Duque, Miguel, Michael, Richard, Bartels, Simon, Zainchkovskyy, Yevgen, Hauberg, Søren, Boomsma, Wouter
Optimizing discrete black-box functions is key in several domains, e.g. protein engineering and drug design. Due to the lack of gradient information and the need for sample efficiency, Bayesian optimization is an ideal candidate for these tasks. Seve
Externí odkaz:
http://arxiv.org/abs/2406.04739
Autor:
Michael, Richard, Bartels, Simon, González-Duque, Miguel, Zainchkovskyy, Yevgen, Frellsen, Jes, Hauberg, Søren, Boomsma, Wouter
To optimize efficiently over discrete data and with only few available target observations is a challenge in Bayesian optimization. We propose a continuous relaxation of the objective function and show that inference and optimization can be computati
Externí odkaz:
http://arxiv.org/abs/2404.17452
Autor:
Rodríguez-Lera, Francisco J., González-Santamarta, Miguel A., Orden, Jose Manuel Gonzalo, Fernández-Llamas, Camino, Matellán-Olivera, Vicente, Sánchez-González, Lidia
The livestock industry faces several challenges, including labor-intensive management, the threat of predators and environmental sustainability concerns. Therefore, this paper explores the integration of quadruped robots in extensive livestock farmin
Externí odkaz:
http://arxiv.org/abs/2404.16008
Autor:
Sobrín-Hidalgo, David, González-Santamarta, Miguel Ángel, Guerrero-Higueras, Ángel Manuel, Rodríguez-Lera, Francisco Javier, Matellán-Olivera, Vicente
This paper presents an improved system based on our prior work, designed to create explanations for autonomous robot actions during Human-Robot Interaction (HRI). Previously, we developed a system that used Large Language Models (LLMs) to interpret l
Externí odkaz:
http://arxiv.org/abs/2404.09705
Autor:
Rodríguez-Lera, Francisco J., González-Santamarta, Miguel A., González-Cantón, Alejandro, Fernández-Becerra, Laura, Sobrín-Hidalgo, David, Guerrero-Higueras, Angel Manuel
In an era where autonomous robots increasingly inhabit public spaces, the imperative for transparency and interpretability in their decision-making processes becomes paramount. This paper presents the overview of a Robotic eXplanation and Interpretab
Externí odkaz:
http://arxiv.org/abs/2403.16606
Autor:
Fernández-Becerra, Laura, González-Santamarta, Miguel Ángel, Guerrero-Higueras, Ángel Manuel, Rodríguez-Lera, Francisco Javier, Olivera, Vicente Matellán
The deployment of autonomous agents in environments involving human interaction has increasingly raised security concerns. Consequently, understanding the circumstances behind an event becomes critical, requiring the development of capabilities to ju
Externí odkaz:
http://arxiv.org/abs/2403.09567