Zobrazeno 1 - 10
of 27 360
pro vyhledávání: '"Ochoa P."'
Autor:
Isaza, Veronica Henao, Aguillon, David, Quintero, Carlos Andres Tobon, Lopera, Francisco, Gomez, John Fredy Ochoa
Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but obtaining large sa
Externí odkaz:
http://arxiv.org/abs/2411.17717
Autor:
Ochoa, Pablo, Salort, Ariel
In this article we study different extensions of the celebrated Hopf's boundary lemma within the context of a family of nonlocal, nonlinear and nonstandard growth operators. More precisely, we examine the behavior of solutions of the fractional $a-$L
Externí odkaz:
http://arxiv.org/abs/2411.13498
MolMiner: Transformer architecture for fragment-based autoregressive generation of molecular stories
Deep generative models for molecular discovery have become a very popular choice in new high-throughput screening paradigms. These models have been developed inheriting from the advances in natural language processing and computer vision, achieving e
Externí odkaz:
http://arxiv.org/abs/2411.06608
In this paper, we consider Dirichlet boundary value problem involving the anisotropic $p(x)$-Laplacian, where $p(x)= (p_1(x), ..., p_n(x))$, with $p_i(x)> 1$ in $\overline{\Omega}$. Using the topological degree constructed by Berkovits, we prove, und
Externí odkaz:
http://arxiv.org/abs/2411.03123
Computer science has historically presented barriers for non-native English speaking (NNES) students, often due to language and terminology challenges. With the rise of large language models (LLMs), there is potential to leverage this technology to s
Externí odkaz:
http://arxiv.org/abs/2411.02725
Autor:
Ochoa, Pablo, Silva, Analía
In this paper, we introduce a new higher-order Laplacian operator in the framework of Orlicz-Sobolev spaces, the biharmonic g-Laplacian $$\Delta_g^2 u:=\Delta \left(\dfrac{g(|\Delta u|)}{|\Delta u|} \Delta u\right),$$ where $g=G'$, with $G$ an N-func
Externí odkaz:
http://arxiv.org/abs/2411.01276
Autor:
Rivera, Eduardo Ochoa, Tewari, Ambuj
Bandit algorithms have garnered significant attention due to their practical applications in real-world scenarios. However, beyond simple settings such as multi-arm or linear bandits, optimal algorithms remain scarce. Notably, no optimal solution exi
Externí odkaz:
http://arxiv.org/abs/2410.20640
While recent advances in deep learning (DL) for surgical scene segmentation have yielded promising results on single-center and single-imaging modality data, these methods usually do not generalize well to unseen distributions or modalities. Even tho
Externí odkaz:
http://arxiv.org/abs/2410.14821
Autor:
Reyes-Amezcua, Ivan, Rojas-Ruiz, Michael, Ochoa-Ruiz, Gilberto, Mendez-Vazquez, Andres, Daul, Christian
Deep learning developments have improved medical imaging diagnoses dramatically, increasing accuracy in several domains. Nonetheless, obstacles continue to exist because of the requirement for huge datasets and legal limitations on data exchange. A s
Externí odkaz:
http://arxiv.org/abs/2409.19934
Autor:
Reyes-Amezcua, Ivan, Espinosa, Ricardo, Daul, Christian, Ochoa-Ruiz, Gilberto, Mendez-Vazquez, Andres
Accurate depth estimation in endoscopy is vital for successfully implementing computer vision pipelines for various medical procedures and CAD tools. In this paper, we present the EndoDepth benchmark, an evaluation framework designed to assess the ro
Externí odkaz:
http://arxiv.org/abs/2409.19930