Zobrazeno 1 - 10
of 1 089
pro vyhledávání: '"Gordaliza A"'
Autor:
Molchanova, Nataliia, Cagol, Alessandro, Gordaliza, Pedro M., Ocampo-Pineda, Mario, Lu, Po-Jui, Weigel, Matthias, Chen, Xinjie, Depeursinge, Adrien, Granziera, Cristina, Müller, Henning, Cuadra, Meritxell Bach
Uncertainty quantification (UQ) has become critical for evaluating the reliability of artificial intelligence systems, especially in medical image segmentation. This study addresses the interpretability of instance-wise uncertainty values in deep lea
Externí odkaz:
http://arxiv.org/abs/2407.05761
Publikováno v:
Presented at the XI Symposium of Theory and Applications of Data Mining from the XX Conference of the Spanish Association for Artificial Intelligence CAEPIA 2024
This paper introduces a novel approach to bolster algorithmic fairness in scenarios where sensitive information is only partially known. In particular, we propose to leverage instances with uncertain identity with regards to the sensitive attribute t
Externí odkaz:
http://arxiv.org/abs/2406.19066
Autor:
Inouzhe, Hristo, Barrio, Irantzu, Gordaliza, Paula, Rodríguez-Álvarez, María Xosé, Bengoechea, Itxaso, Quintana, José María
We explore the effect of nursing home status on healthcare outcomes such as hospitalisation, mortality and in-hospital mortality during the COVID-19 pandemic. Some claim that in specific Autonomous Communities (geopolitical divisions) in Spain, elder
Externí odkaz:
http://arxiv.org/abs/2306.09711
Autor:
Marta Peláez, Guillermo Carranza, Daniel Gambra-Caravantes, Jesús Rodríguez-Calcerrada, Guillermo González-Gordaliza, José Maria Fedriani, Luis Gil, Ramón Perea
Publikováno v:
Annals of Forest Science, Vol 81, Iss 1, Pp 1-21 (2024)
Abstract Key message We test the potential benefits of planting 2-year vs. 1-year-old seedlings to restore Mediterranean oak-dominated systems. Planting 2-year-old Quercus suber L. seedlings is recommended for improved survival and resilience against
Externí odkaz:
https://doaj.org/article/6cb9af3536a346ceb8cf2586e563998f
Several recent works encourage the use of a Bayesian framework when assessing performance and fairness metrics of a classification algorithm in a supervised setting. We propose the Uncertainty Matters (UM) framework that generalizes a Beta-Binomial a
Externí odkaz:
http://arxiv.org/abs/2302.01079
Human lives are increasingly being affected by the outcomes of automated decision-making systems and it is essential for the latter to be, not only accurate, but also fair. The literature of algorithmic fairness has grown considerably over the last d
Externí odkaz:
http://arxiv.org/abs/2211.07530
Autor:
Gordaliza, Pedro M.
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (Mtb.) that produces pulmonary damage due to its airborne nature. This fact facilitates the disease fast-spreading, which, according to the World Health Organization (WHO
Externí odkaz:
http://arxiv.org/abs/2205.15909
The development of new treatments often requires clinical trials with translational animal models using (pre)-clinical imaging to characterize inter-species pathological processes. Deep Learning (DL) models are commonly used to automate retrieving re
Externí odkaz:
http://arxiv.org/abs/2203.01668
Autor:
Moreno-Gordaliza, Estefanía, González-Nicolás, M. Ángeles, Lázaro, Alberto, Barbas, Coral, Gómez-Gómez, M. Milagros, López-Gonzálvez, Ángeles
Publikováno v:
In Biochemical Pharmacology September 2024 227
Autor:
Rubio-Cuadrado, Álvaro, Alberdi, Iciar, Cañellas, Isabel, Montes, Fernando, Rodríguez-Calcerrada, Jesús, López, Rosana, Gordaliza, Guillermo G., Valbuena-Carabaña, María, Nanos, Nikos, Perea, Ramón, Gil, Luis
Publikováno v:
In Forest Ecosystems 2024 11