Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Aaron Gonzales"'
Autor:
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury
The harmful impacts of algorithmic decision systems have recently come into focus, with many examples of systems such as machine learning (ML) models amplifying existing societal biases. Most metrics attempting to quantify disparities resulting from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296505fb0c8d02fac7dd7b7f7fb02f8a
http://arxiv.org/abs/2202.01615
http://arxiv.org/abs/2202.01615
Autor:
John P. Pacanowski, Robert S. Dieter, Crystal L. Gadd, Aaron Gonzales, Luis R. Leon, Gregory J. Ziomek, Miguel Montero-Baker
Publikováno v:
Journal of Vascular Surgery. 64:1002-1008
Background The structural limitations of currently available laser-cut nitinol stents in the highly diseased arterial system of the lower extremity are well described. These devices are frequently used in long-segment occlusions, at the adductor hiat
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems, vol 29, iss 8
Groves, TL; Grant, RE; Gonzales, A; & Arnold, D. (2018). Unraveling network-induced memory contention: Deeper insights with machine learning. IEEE Transactions on Parallel and Distributed Systems, 29(8), 1907-1922. doi: 10.1109/TPDS.2017.2773483. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9nf7v5kg
Groves, TL; Grant, RE; Gonzales, A; & Arnold, D. (2018). Unraveling network-induced memory contention: Deeper insights with machine learning. IEEE Transactions on Parallel and Distributed Systems, 29(8), 1907-1922. doi: 10.1109/TPDS.2017.2773483. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/9nf7v5kg
© 1990-2012 IEEE. Remote Direct Memory Access (RDMA) is expected to be an integral communication mechanism for future exascale systems - enabling asynchronous data transfers, so that applications may fully utilize CPU resources while simultaneously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb96e5da15b18ba13bf6be8ba99ef67
https://escholarship.org/uc/item/9nf7v5kg
https://escholarship.org/uc/item/9nf7v5kg
Automated Computational Processing of 3-D MR Images of Mouse Brain for Phenotyping of Living Animals
Publikováno v:
Current Protocols in Molecular Biology
Magnetic resonance (MR) imaging provides a method to obtain anatomical information from the brain in vivo that is not typically available by optical imaging because of this organ's opacity. MR is nondestructive and obtains deep tissue contrast with 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e24400b830465f3031f61002d165a7de
https://resolver.caltech.edu/CaltechAUTHORS:20170710-083149452
https://resolver.caltech.edu/CaltechAUTHORS:20170710-083149452
Publikováno v:
Energy Technology. 1:350-358
Utilization of biomass and waste products for the production of synthesis gas is an important step towards generating useful fuels from renewable resources. Cellulose and glycerin are two such products that can either be decomposed into useful chemic
Publikováno v:
Energy Technology. 1:30-34
Fluid velocities in a continuous-flow, cylindrical, supercritical-water reactor are examined and mathematically modeled using a simplified Navier–Stokes equation. Within the system, a large number of moles of small gaseous species are generated fro
Autor:
Sunggyu Lee, Amber Tupper, Barbara Wheelden, Ryan Tschannen, Aaron Gonzales, Maxwell Tobias Tupper
Publikováno v:
Encyclopedia of Chemical Processing ISBN: 0824755634
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9043e3bdebfbcb94643d905e7346c4fc
https://doi.org/10.1081/e-echp-120053249
https://doi.org/10.1081/e-echp-120053249
Autor:
Aaron Gonzales, Maxwell Tobias Tupper, Amber R. Tupper, Ryan Tschannen, Sunggyu Lee, Barbara A. Wheelden
Publikováno v:
Handbook of Alternative Fuel Technologies ISBN: 9780429167751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c8451bba84c434a1579e38b8bf59b27
https://doi.org/10.1201/b17157-10
https://doi.org/10.1201/b17157-10
Publikováno v:
Alzheimer's & Dementia. 9
Publikováno v:
SAE Technical Paper Series.