Zobrazeno 1 - 10
of 14 835
pro vyhledávání: '"A. Mansilla"'
Autor:
Graells-Garrido, Eduardo, Toro, Matías, Mansilla, Gabriel, Nicolai, Matías, Mansilla, Santiago, Dunstan, Jocelyn
Work-related traffic incidents significantly impact urban mobility and productivity. This study analyzes a decade of work-related traffic incident data (2012--2021) in Santiago, Chile, using records from a major social insurance company. We explore t
Externí odkaz:
http://arxiv.org/abs/2408.00687
The widespread adoption of the QWERTY keyboard layout, designed primarily for English, presents significant challenges for speakers of indigenous languages such as Quechua, particularly in the Puno region of Peru. This research examines the extent to
Externí odkaz:
http://arxiv.org/abs/2410.06453
Reinforcement learning is a subfield of machine learning that is having a huge impact in the different conventional disciplines, including physical sciences. Here, we show how reinforcement learning methods can be applied to solve optimization proble
Externí odkaz:
http://arxiv.org/abs/2408.15727
The Lunar landing has drawn great interest in lunar exploration in recent years, and autonomous lunar landing navigation is fundamental to this task. AI is expected to play a critical role in autonomous and intelligent space missions, yet human exper
Externí odkaz:
http://arxiv.org/abs/2408.13587
We investigate projection constants within classes of multivariate polynomials over finite-dimensional real Hilbert spaces. Specifically, we consider the projection constant for spaces of spherical harmonics and spaces of homogeneous polynomials as w
Externí odkaz:
http://arxiv.org/abs/2405.12123
Publikováno v:
Амбулаторная хирургия, Vol 0, Iss 3-4, Pp 19-33 (2019)
RETRACTED ARTICLEChronic venous disease (CVD) is the most common vascular pathology that has a significant negative effect on physical and psychological health outcomes, and requires high level of public spending on healthcare. Number of CVD risk fac
Externí odkaz:
https://doaj.org/article/90869b55f1814c41bdf3cd2cce646508
Autor:
Nuñez, Nahuel, Lima Jr., Enio, Mansilla, Marcelo Vásquez, Goya, Gerardo F., Gallo-Cordova, Álvaro, Morales, María del Puerto, Winkler, Elin L.
Publikováno v:
February 2024, Applied Surface Science 656(12):159655
Ferrite nanoparticles serve as potent heterogeneous Fenton-like catalysts, producing reactive oxygen species (ROS) for decomposing organic pollutants. We investigated the impact of temperature and copper content on the catalytic activity of nanoparti
Externí odkaz:
http://arxiv.org/abs/2402.15338
It has recently been shown that deep learning models for anatomical segmentation in medical images can exhibit biases against certain sub-populations defined in terms of protected attributes like sex or ethnicity. In this context, auditing fairness o
Externí odkaz:
http://arxiv.org/abs/2309.00451
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Autor:
Gaggion, Nicolás, Mosquera, Candelaria, Mansilla, Lucas, Saidman, Julia Mariel, Aineseder, Martina, Milone, Diego H., Ferrante, Enzo
The development of successful artificial intelligence models for chest X-ray analysis relies on large, diverse datasets with high-quality annotations. While several databases of chest X-ray images have been released, most include disease diagnosis la
Externí odkaz:
http://arxiv.org/abs/2307.03293
Asymptotic insights for projection, Gordon-Lewis and Sidon constants in Boolean cube function spaces
The main aim of this work is to study important local Banach space constants for Boolean cube function spaces. Specifically, we focus on $\mathcal{B}_{\mathcal{S}}^N$, the finite-dimensional Banach space of all real-valued functions defined on the $N
Externí odkaz:
http://arxiv.org/abs/2302.00233