Zobrazeno 1 - 10
of 598
pro vyhledávání: '"Teixeira, Joao P."'
Autor:
Azevedo, Pedro, Araújo, Emanuella, Pierre, Gabriel, Costa, Willams de Lima, Teixeira, João Marcelo, Ferreira, Valter, Jones, Roberto, Teichrieb, Veronica
Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when deployed in other regions. Specifically, for scene classification, a h
Externí odkaz:
http://arxiv.org/abs/2406.03273
Autor:
da Silva, Daniel Peixoto Pinto, Casanova, Edresson, Gris, Lucas Rafael Stefanel, Junior, Arnaldo Candido, Finger, Marcelo, Svartman, Flaviane, Raposo, Beatriz, Martins, Marcus Vinícius Moreira, Aluísio, Sandra Maria, Berti, Larissa Cristina, Teixeira, João Paulo
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis of a convolutional neural network based model for COVID-19 detection i
Externí odkaz:
http://arxiv.org/abs/2211.14372
Autor:
Zhang, Oufan, Haghighatlari, Mojtaba, Li, Jie, Teixeira, Joao Miguel Correia, Namini, Ashley, Liu, Zi-Hao, Forman-Kay, Julie D, Head-Gordon, Teresa
We have developed a Generative Recurrent Neural Networks (GRNN) that learns the probability of the next residue torsions $X_{i+1}=\ [\phi_{i+1},\psi_{i+1},\omega _{i+1}, \chi_{i+1}]$ from the previous residue in the sequence $X_i$ to generate new IDP
Externí odkaz:
http://arxiv.org/abs/2206.12667
Autor:
Li, Jie, Zhang, Oufan, Lee, Seokyoung, Namini, Ashley, Liu, Zi Hao, Teixeira, João Miguel Correia, Forman-Kay, Julie D, Head-Gordon, Teresa
We consider a generic representation problem of internal coordinates (bond lengths, valence angles, and dihedral angles) and their transformation to 3-dimensional Cartesian coordinates of a biomolecule. We show that the internal-to-Cartesian process
Externí odkaz:
http://arxiv.org/abs/2205.04676
Publikováno v:
Boundary-Layer Meteorol. 175 (2020) 343-368
We investigate the effects of condensation and liquid water loading on the stably stratified surface layer, with an eye towards understanding the influence of turbulent mixing on fog formation. Direct numerical simulations (DNS) of dry and moist open
Externí odkaz:
http://arxiv.org/abs/2012.04128
Autor:
MacDonald, Michael, Teixeira, João
Publikováno v:
J. Atmos. Sci. 77 (2020) 3161-3170
We present a turbulent kinetic energy (TKE) closure scheme for the stably stratified atmosphere in which the mixing lengths for momentum and heat are not parameterized in the same manner. The key difference is that, while the mixing length for heat t
Externí odkaz:
http://arxiv.org/abs/2012.04126
Publikováno v:
In Procedia Computer Science 2024 239:1188-1195
Dismantling a dogma: the inflated significance of neutral genetic diversity in conservation genetics
Autor:
Teixeira, João C, Huber, Christian D
The current rate of species extinction is rapidly approaching unprecedented highs and life on Earth presently faces a sixth mass extinction event driven by anthropogenic activity, climate change and ecological collapse. The field of conservation gene
Externí odkaz:
http://arxiv.org/abs/2007.02569
Autor:
Casanova, Edresson, Junior, Arnaldo Candido, Shulby, Christopher, de Oliveira, Frederico Santos, Teixeira, João Paulo, Ponti, Moacir Antonelli, Aluisio, Sandra Maria
Speech provides a natural way for human-computer interaction. In particular, speech synthesis systems are popular in different applications, such as personal assistants, GPS applications, screen readers and accessibility tools. However, not all langu
Externí odkaz:
http://arxiv.org/abs/2005.05144
Autor:
Lincoff, James, Krzeminski, Mickael, Haghighatlari, Mojtaba, Teixeira, João M. C., Gomes, Gregory-Neal W., Gradinaru, Claudiu C., Forman-Kay, Julie D., Head-Gordon, Teresa
Characterization of proteins with intrinsic or unfolded state disorder comprises a new frontier in structural biology, requiring the characterization of diverse and dynamic structural ensembles. We introduce a comprehensive Bayesian framework, the Ex
Externí odkaz:
http://arxiv.org/abs/1912.12582