Sebastiano Busato

Works (2)

Updated: January 18th, 2025 05:01

2024 article

Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates

Washburn, J. D., Varela, J. I., Xavier, A., Chen, Q., Ertl, D., Gage, J. L., … Leon, N. (2024, December 27). (M. Sillanpää, Ed.). GENETICS, Vol. 12.

By: J. Washburn, J. Varela *, A. Xavier *, Q. Chen n , D. Ertl, J. Gage n , J. Holland n , D. Lima * ...

Ed(s): M. Sillanpää

author keywords: genotype by environment; prediction; competition; maize; yield; phenotype
Sources: Web Of Science, ORCID, NC State University Libraries
Added: November 22, 2024

2022 review

Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies

[Review of ]. CURRENT OPINION IN PLANT BIOLOGY, 71.

By: S. Busato n, M. Gordon n, M. Chaudhari  n, I. Jensen *, T. Akyol*, S. Andersen *, C. Williams n 

author keywords: Machine learning; Deep learning; Plant-associated microbiome; Compositional data analysis
MeSH headings : Microbiota; Algorithms; Machine Learning; Plants
TL;DR: The analysis is expanded to other fields to quantify the degree to which mitigation approaches improve the performance of ML and describe the mathematical basis for this. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 30, 2023

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