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pro vyhledávání: '"Divya Shanmugam"'
Autor:
Divya Shanmugam, Matthew Espinosa, Jeffrey Gassen, Agathe van Lamsweerde, Jack T. Pearson, Eleonora Benhar, Sarah Hill
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Many species exhibit seasonal patterns of breeding. Although humans can shield themselves from many season-related stressors, they appear to exhibit seasonal patterns of investment in reproductive function nonetheless, with levels of sex ste
Externí odkaz:
https://doaj.org/article/479d461768a14bd5bf054721a946bcdc
Autor:
Balachandran Krishnan, Divya Shanmugam
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 24, Iss 4, Pp 713-722 (2014)
In this paper, we study the controllability of nonlinear fractional integrodifferential systems with implicit fractional derivative. Sufficient conditions for controllability results are obtained through the notion of the measure of noncompactness of
Externí odkaz:
https://doaj.org/article/5e152aabce4e4de7b96c24eb8504a9a3
Autor:
Harini Suresh, Divya Shanmugam, Tiffany Chen, Annie G Bryan, Alexander D'Amour, John Guttag, Arvind Satyanarayan
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Modern machine learning systems are increasingly characterized by extensive personal data collection, despite the diminishing returns and increasing societal costs of such practices. Yet, data minimisation is one of the core data protection principle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077a9e3fa2bd5e2d30f251137b37809c
Test-time augmentation -- the aggregation of predictions across transformed versions of a test input -- is a common practice in image classification. Traditionally, predictions are combined using a simple average. In this paper, we present 1) experim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24664dcd7f07bf416cdafa91586bd619
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