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pro vyhledávání: '"Ribeiro AT"'
Autor:
Cardoso, Lucas Felipe Ferraro, Filho, José de Sousa Ribeiro, Santos, Vitor Cirilo Araujo, Frances, Regiane Silva Kawasaki, Alves, Ronnie Cley de Oliveira
Although fundamental to the advancement of Machine Learning, the classic evaluation metrics extracted from the confusion matrix, such as precision and F1, are limited. Such metrics only offer a quantitative view of the models' performance, without co
Externí odkaz:
http://arxiv.org/abs/2409.03151
Publikováno v:
Applied Surface Science, 2024, 161098, ISSN 0169-4332
Several organic cations have been used to passivate perovskite films; however, selecting the optimal cation remains challenging. In this work, we carried out density functional theory calculations to understand the effects induced by 17 different org
Externí odkaz:
http://arxiv.org/abs/2409.01450
We analyse a specific instance of the general approach of reasoning based on forgetting by Lang and Marquis. More precisely, we discuss an approach for reasoning with inconsistent information using maximal consistent subsignatures, where a maximal co
Externí odkaz:
http://arxiv.org/abs/2408.17190
Autor:
Ribeiro, Caio C. Holanda
Bose-Einstein condensates are suitable systems for studying fundamental aspects of quantum backreaction. Here the backreaction problem in 1D condensates is considered from the perspective of energy and momentum conservation. By assuming the validity
Externí odkaz:
http://arxiv.org/abs/2408.15455
Super-resolution algorithms often struggle with images from surveillance environments due to adverse conditions such as unknown degradation, variations in pose, irregular illumination, and occlusions. However, acquiring multiple images, even of low q
Externí odkaz:
http://arxiv.org/abs/2408.15386
Autor:
Nascimento, Valfride, Laroca, Rayson, Ribeiro, Rafael O., Schwartz, William Robson, Menotti, David
Despite significant advancements in License Plate Recognition (LPR) through deep learning, most improvements rely on high-resolution images with clear characters. This scenario does not reflect real-world conditions where traffic surveillance often c
Externí odkaz:
http://arxiv.org/abs/2408.15103
Diffusion models have attained prominence for their ability to synthesize a probability distribution for a given dataset via a diffusion process, enabling the generation of new data points with high fidelity. However, diffusion processes are prone to
Externí odkaz:
http://arxiv.org/abs/2408.15094
The incorporation and adaptation of style guides play an essential role in software development, influencing code formatting, naming conventions, and structure to enhance readability and simplify maintenance. However, many of these guides often lack
Externí odkaz:
http://arxiv.org/abs/2408.14566
The area of study concerning the estimation of spatial sound, i.e., the distribution of a physical quantity of sound such as acoustic pressure, is called sound field estimation, which is the basis for various applied technologies related to spatial a
Externí odkaz:
http://arxiv.org/abs/2408.14731
Graph neural networks (GNNs) have demonstrated their effectiveness in various tasks supported by their generalization capabilities. However, the current analysis of GNN generalization relies on the assumption that training and testing data are indepe
Externí odkaz:
http://arxiv.org/abs/2408.13878