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2020 – today
- 2022
[c6]Mark Plagge, Ben Feinberg, John McFarland, Fred Rothganger, Sapan Agarwal
, Amro Awad, Clayton Hughes, Suma George Cardwell:
ATHENA: Enabling Codesign for Next-Generation AI/ML Architectures. ICRC 2022: 13-23- [c5]John McFarland, Amro Awad:
Transpose-xen: virtualized mixed-criticality through dynamic allocation. SAC 2022: 3-12 - 2020
- [j1]John McFarland, Erin DeCarlo:
A Monte Carlo framework for probabilistic analysis and variance decomposition with distribution parameter uncertainty. Reliab. Eng. Syst. Saf. 197: 106807 (2020)
2010 – 2019
- 2016
- [c4]Edwin Valentijn, K. G. Begeman, Andrey N. Belikov, Danny Boxhoorn, Jarle Brinchmann, John McFarland, H. Holties, K. H. Kuijken, Gijs A. Verdoes Kleijn, Willem-Jan Vriend, O. Rees Williams, Jos B. T. M. Roerdink, Lambert R. B. Schomaker, Morris A. Swertz, A. Tsyganov, G. J. W. van Dijk:
Target and (Astro-)WISE technologies Data federations and its applications. Astroinformatics 2016: 333-340 - 2011
- [i1]Hugo Buddelmeijer, O. Rees Williams, John McFarland, Andrey N. Belikov:
Astro-WISE processing of wide-field images and other data. CoRR abs/1111.6792 (2011) - 2010
- [c3]Johnson Mwebaze, John McFarland, Danny Booxhorn, Edwin Valentijn:
Towards a provenance framework for sub-image processing for astronomical data. CIKM 2010: 1277-1280 - [c2]Johnson Mwebaze, John McFarland, Danny Boxhoorn, Hugo Buddelmeijer, Edwin Valentijn:
Using Data Lineage for Sub-image Processing. IPAW 2010: 289-291 - [c1]Johnson Mwebaze, John McFarland, Danny Booxhorn, Edwin Valentijn:
A data lineage model for distributed sub-image processing. SAICSIT 2010: 209-219
Coauthor Index
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