Zobrazeno 1 - 10
of 26
pro vyhledávání: '"André R. Gonçalves"'
Autor:
Madeleine S. G. Casagrande, Fernando R. Martins, Nilton E. Rosário, Francisco J. L. Lima, André R. Gonçalves, Rodrigo S. Costa, Maurício Zarzur, Marcelo P. Pes, Enio Bueno Pereira
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4527 (2021)
Smoke aerosol plumes generated during the biomass burning season in Brazil suffer long-range transport, resulting in large aerosol optical depths over an extensive domain. As a consequence, downward surface solar irradiance, and in particular the dir
Externí odkaz:
https://doaj.org/article/5abe4183b1e5417687cd3e88ad3f915b
Autor:
André R. Gonçalves, Arcilan T. Assireu, Fernando R. Martins, Madeleine S. G. Casagrande, Enrique V. Mattos, Rodrigo S. Costa, Robson B. Passos, Silvia V. Pereira, Marcelo P. Pes, Francisco J. L. Lima, Enio B. Pereira
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2793 (2020)
Several studies show the effects of lake breezes on cloudiness over natural lakes and large rivers, but only few contain information regarding large flooded areas of hydroelectric dams. Most Brazilian hydropower plants have large water reservoirs tha
Externí odkaz:
https://doaj.org/article/42a453a6d59f403388b5266dbb444219
Publikováno v:
Particles
Volume 6
Issue 1
Pages: 198-216
Volume 6
Issue 1
Pages: 198-216
The description of the stellar interior of compact stars remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the saturation of hadronic matter ρ0=2.8×1014gcm−3, reg
Autor:
Hsi-Yen Ma, Gemma J. Anderson, Céline Bonfils, Baoxiang Pan, Jiwoo Lee, Yang Tian, André R. Gonçalves, Donald D. Lucas
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 10, Pp n/a-n/a (2021)
The fidelity of climate projections is often undermined by biases in climate models due to their simplification or misrepresentation of unresolved climate processes. While various bias correction methods have been developed to post‐process model ou
Autor:
Jennifer L. Stevens, Ana Paula Sales, Braden Soper, Priyadip Ray, André R. Gonçalves, Linda Coyle
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-40 (2020)
BMC Medical Research Methodology
BMC Medical Research Methodology
Background Machine learning (ML) has made a significant impact in medicine and cancer research; however, its impact in these areas has been undeniably slower and more limited than in other application domains. A major reason for this has been the lac
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 12:1-35
Alzheimer’s disease (AD), the most common type of dementia, not only imposes a huge financial burden on the health care system, but also a psychological and emotional burden on patients and their families. There is thus an urgent need to infer traj
Autor:
André R. Gonçalves, Arindam Banerjee, Xiaoli Liu, Alzheimer's Disease Neuroimaging Initiative, Dazhe Zhao, Peng Cao
Publikováno v:
Computerized Medical Imaging and Graphics. 66:100-114
Alzheimer's disease (AD) is a severe neurodegenerative disorder characterized by loss of memory and reduction in cognitive functions due to progressive degeneration of neurons and their connections, eventually leading to death. In this paper, we cons
Publikováno v:
IJCAI
Group LASSO is a widely used regularization that imposes sparsity considering groups of covariates. When used in Multi-Task Learning (MTL) formulations, it makes an underlying assumption that if one group of covariates is not relevant for one or a fe
Autor:
David P. Widemann, André R. Gonçalves, Jan F. Nygård, Braden Soper, Ana Paula Sales, Mari Nygård, Priyadip Ray
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0241225 (2020)
PLoS ONE, Vol 15, Iss 11, p e0241225 (2020)
Oncology is a highly siloed field of research in which sub-disciplinary specialization has limited the amount of information shared between researchers of distinct cancer types. This can be attributed to legitimate differences in the physiology and c