Zobrazeno 1 - 10
of 118
pro vyhledávání: '"A. P. A. P. Bertozzi"'
Autor:
Lee, Wing Pok, Woo, Jonathan D., Triplett, Luke F., Gu, Yifan, Burnett, Sarah C., Ding, Lingyun, Bertozzi, Andrea L.
The dynamics of viscous thin-film particle-laden flows down inclined surfaces are commonly modeled with one of two approaches: a diffusive flux model or a suspension balance model. The diffusive flux model assumes that the particles migrate via a dif
Externí odkaz:
http://arxiv.org/abs/2410.23561
Autor:
Botti, Filippo, Ergasti, Alex, Rossi, Leonardo, Fontanini, Tomaso, Ferrari, Claudio, Bertozzi, Massimo, Prati, Andrea
The goal of style transfer is, given a content image and a style source, generating a new image preserving the content but with the artistic representation of the style source. Most of the state-of-the-art architectures use transformers or diffusion-
Externí odkaz:
http://arxiv.org/abs/2409.10385
Autor:
Aricia Duarte-Benvenuto, Josué Díaz-Delgado, Ana Carolina Ewbank, Kátia R. Groch, Vanessa dal Bianco, Samira Costa-Silva, Roberta Zamana-Ramblas, Cíntia Favero, Adriana Castaldo Colosio, Hernani da Cunha Gomes Ramos, Elitieri Santos-Neto, Jose Lailson-Brito, Vitor L. Carvalho, Vanessa L. Ribeiro, Carolina Pacheco Bertozzi, Caroline F. Pessi, Irene Sacristán, José Luiz Catão-Dias, Carlos Sacristán
Publikováno v:
Veterinary Quarterly, Vol 44, Iss 1, Pp 1-7 (2024)
Polyomaviruses (PyVs) are small double-stranded DNA viruses able to infect species across all vertebrate taxa. In cetaceans, PyVs have been reported only in short-beaked common dolphin (Delphinus delphis), common bottlenose dolphin (Tursiops truncatu
Externí odkaz:
https://doaj.org/article/97bce594db2f435bbab3866174a27075
In semantic image synthesis the state of the art is dominated by methods that use customized variants of the SPatially-Adaptive DE-normalization (SPADE) layers, which allow for good visual generation quality and editing versatility. By design, such l
Externí odkaz:
http://arxiv.org/abs/2308.16071
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 446-462 (2025)
In this article, we develop a contrastive graph-based active learning pipeline (CGAP) to identify surface water and near-water sediment pixels in multispectral images. The CGAP enhances the graph-based active learning pipeline (Chen et al., 2023), wh
Externí odkaz:
https://doaj.org/article/b44b9a71b24d4216b16e0b6a39d8909f
Autor:
Sergio M. Borghi, Aparecida D. Malvezi, Maria Isabel Lovo-Martins, Victor Fattori, Tiago H. Zaninelli, Mariana M. Bertozzi, Camila R. Ferraz, Thiago M. Cunha, Rubia Casagrande, Marli C. Martins-Pinge, Phileno Pinge-Filho, Waldiceu A. Verri, Jr.
Publikováno v:
Brain, Behavior, & Immunity - Health, Vol 42, Iss , Pp 100897- (2024)
Chagas’ disease is a life-threatening condition caused by Trypanosoma cruzi. Patients with chronic disease may develop gastrointestinal, neurological, or associated neuro-digestive dysfunctions. CNS invasion by T. cruzi can occur in the acute phase
Externí odkaz:
https://doaj.org/article/a1899c10dfa349ae86851ae383fd1dea
Autor:
Baker, Justin, Xia, Hedi, Wang, Yiwei, Cherkaev, Elena, Narayan, Akil, Chen, Long, Xin, Jack, Bertozzi, Andrea L., Osher, Stanley J., Wang, Bao
Learning neural ODEs often requires solving very stiff ODE systems, primarily using explicit adaptive step size ODE solvers. These solvers are computationally expensive, requiring the use of tiny step sizes for numerical stability and accuracy guaran
Externí odkaz:
http://arxiv.org/abs/2204.08621
Autor:
Miller, Kevin, Mauro, John, Setiadi, Jason, Baca, Xoaquin, Shi, Zhan, Calder, Jeff, Bertozzi, Andrea L.
We present a novel method for classification of Synthetic Aperture Radar (SAR) data by combining ideas from graph-based learning and neural network methods within an active learning framework. Graph-based methods in machine learning are based on a si
Externí odkaz:
http://arxiv.org/abs/2204.00005
Image-to-image (i2i) networks struggle to capture local changes because they do not affect the global scene structure. For example, translating from highway scenes to offroad, i2i networks easily focus on global color features but ignore obvious trai
Externí odkaz:
http://arxiv.org/abs/2109.04468
Autor:
Ji, Hangjie, Lafata, Kyle, Mowery, Yvonne, Brizel, David, Bertozzi, Andrea L., Yin, Fang-Fang, Wang, Chunhao
This paper develops a method of biologically guided deep learning for post-radiation FDG-PET image outcome prediction based on pre-radiation images and radiotherapy dose information. Based on the classic reaction-diffusion mechanism, a novel biologic
Externí odkaz:
http://arxiv.org/abs/2105.10650