Zobrazeno 1 - 10
of 90 299
pro vyhledávání: '"Dantas A"'
Autor:
Felix, Isaac de Macêdo, Tromer, Raphael Matozo, Machado, Leonardo Dantas, Galvão, Douglas Soares, Ribeiro Jr, Luiz Antônio, Pereira Jr, Marcelo Lopes
The thermal conductivity of two-dimensional (2D) materials is critical in determining their suitability for several applications, from electronics to thermal management. In this study, we have used Molecular Dynamics (MD) simulations to investigate t
Externí odkaz:
http://arxiv.org/abs/2409.10355
We obtain an infinite-dimensional cone of singular twisted Hilbert spaces $Z(\varphi)$ which are isomorphic to their duals but not to their conjugate duals. We do that by showing that the subset of all bi-Lipschitz maps from $[0, \infty)$ to $\mathbb
Externí odkaz:
http://arxiv.org/abs/2408.07827
Autor:
Ienco, Dino, Dantas, Cassio Fraga
Publikováno v:
British Machine Vision Conference, Nov 2024, Glasgow, United Kingdom
Cross-modal knowledge distillation (CMKD) refers to the scenario in which a learning framework must handle training and test data that exhibit a modality mismatch, more precisely, training and test data do not cover the same set of data modalities. T
Externí odkaz:
http://arxiv.org/abs/2408.07080
Autor:
Dantas AAG, Pereira ARR, Castro SS, Dantas THM, Ferreira CWS, Barbosa IR, Câmara SMA, Dantas DS
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 13, Pp 883-889 (2020)
Amanda Almeida Gomes Dantas,1 Alianny Raphaely Rodrigues Pereira,2 Shamyr Sulyvan de Castro,3 Thaissa Hamana de Macedo Dantas,1 Caroline Wanderley Souto Ferreira,1,2 Isabelle Ribeiro Barbosa,1,2 Saionara Maria Aires da Câmara,1,2 Diego de Sousa Dant
Externí odkaz:
https://doaj.org/article/5e566ba11f9b42e798b52f982fd9331d
Computer vision methods that explicitly detect object parts and reason on them are a step towards inherently interpretable models. Existing approaches that perform part discovery driven by a fine-grained classification task make very restrictive assu
Externí odkaz:
http://arxiv.org/abs/2407.04538
The Kitaev honeycomb model provides a paradigmatic example of an exactly solvable quantum spin liquid (QSL), in which the spin degrees of freedom fractionalize into itinerant Majorana fermions coupled to a static background of $\mathbb{Z}_{2}$ gauge
Externí odkaz:
http://arxiv.org/abs/2406.19140
Publikováno v:
ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania
Semi-supervised domain adaptation methods leverage information from a source labelled domain with the goal of generalizing over a scarcely labelled target domain. While this setting already poses challenges due to potential distribution shifts betwee
Externí odkaz:
http://arxiv.org/abs/2406.14087
In this paper we prove that a free nilpotent group of finite rank is transitive self-similar. In contrast, we prove that a free metabelian group of rank $r \geq 2$ is not transitive self-similar.
Externí odkaz:
http://arxiv.org/abs/2406.10665
In this paper, we present some sufficient conditions on a metric space $M$ for which every molecule is a strongly subdifferentiable (SSD, for short) point in the Lipschitz-free space $\mathcal{F}(M)$ over $M$. Our main result reads as follows: if $(M
Externí odkaz:
http://arxiv.org/abs/2406.01269
A finitely generated group is said to be an automata group if it admits a faithful self-similar finite-state representation on some regular $m$-tree. We prove that if $G$ is a subgroup of an automata group, then for each finitely generated abelian gr
Externí odkaz:
http://arxiv.org/abs/2405.16678