Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Jean Utke"'
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Publikováno v:
Expert Systems with Applications. 212:118761
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863616
ICANN (1)
ICANN (1)
Many models such as Long Short Term Memory (LSTMs), Gated Recurrent Units (GRUs) and transformers have been developed to classify time series data with the assumption that events in a sequence are ordered. On the other hand, fewer models have been de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa44910c2c56f8e844dc875211e9cb85
https://doi.org/10.1007/978-3-030-86362-3_24
https://doi.org/10.1007/978-3-030-86362-3_24
Publikováno v:
ICCS
In C++, new features and semantics can be added to an existing software package without sweeping code changes by introducing a user-defined type using operator overloading. This approach is used, for example, to add capabilities such as algorithmic d
A number of problems in contemporary glaciology could benefit from the application of adjoint models. On a simple level, adjoint models can be used to calculate ice-sheet sensitivities with respect to spatially varying parameters such as the basal sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02e572aca15167f0132f5da3374e56d2
https://www.geosci-model-dev-discuss.net/gmd-2013-119/
https://www.geosci-model-dev-discuss.net/gmd-2013-119/
Publikováno v:
IEEE BigData
Deep learning models based on CNNs are predominantly used in image classification tasks. Such approaches, assuming independence of object categories, normally use a CNN as a feature learner and apply a flat classifier on top of it. Object classes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1d6f59549cde2d0332f0af299daceb9
http://arxiv.org/abs/1809.09574
http://arxiv.org/abs/1809.09574
Publikováno v:
ICCS
The separation of concerns in the development of numerical models not only leads to a separation into components but, based on their purpose, these components may also be written in different programming languages. The sensitivity analysis of a numer
Publikováno v:
Geoscientific Model Development, vol 9, iss 11
Geoscientific Model Development, Vol 9, Pp 3907-3918 (2016)
Larour, E; Utke, J; Bovin, A; Morlighem, M; & Perez, G. (2016). An approach to computing discrete adjoints for MPI-parallelized models applied to Ice Sheet System Model 4.11. GEOSCIENTIFIC MODEL DEVELOPMENT, 9(11), 3907-3918. doi: 10.5194/gmd-9-3907-2016. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/6mj8m29j
Geoscientific Model Development, Vol 9, Pp 3907-3918 (2016)
Larour, E; Utke, J; Bovin, A; Morlighem, M; & Perez, G. (2016). An approach to computing discrete adjoints for MPI-parallelized models applied to Ice Sheet System Model 4.11. GEOSCIENTIFIC MODEL DEVELOPMENT, 9(11), 3907-3918. doi: 10.5194/gmd-9-3907-2016. UC Irvine: Retrieved from: http://www.escholarship.org/uc/item/6mj8m29j
Within the framework of sea-level rise projections, there is a strong need for hindcast validation of the evolution of polar ice sheets in a way that tightly matches observational records (from radar, gravity, and altimetry observations mainly). Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d74eb969e5f265a9589ef171a85030
https://escholarship.org/uc/item/6mj8m29j
https://escholarship.org/uc/item/6mj8m29j
Within the framework of sea-level rise projections, there is a strong need for hindcast validation of the evolution of polar ice sheets in a way that tightly matches observational records (from radar and altimetry observations mainly). However, the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f4d135dc42be4636147e1836afce73
https://doi.org/10.5194/gmd-2016-99
https://doi.org/10.5194/gmd-2016-99