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Hasti Narimanzadeh
Hasti Narimanzadeh
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Title
Cited by
Cited by
Year
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise
D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ...
Environmental Modelling & Software 145, 105206, 2021
482021
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
D Wallach, T Palosuo, P Thorburn, E Gourdain, S Asseng, B Basso, ...
European Journal of Agronomy 124, 126195, 2021
302021
Crowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method
H Narimanzadeh, A Badie-Modiri, IG Smirnova, THY Chen
Proceedings of the ACM on Human-Computer Interaction 7 (CSCW2), 1-29, 2023
12023
Learning Embeddings for Graphs and Other High Dimensional Data
H Nariman Zadeh
2020
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Articles 1–4