José Crossa
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- International Maize and Wheat Improvement Center, Colegio de Postgraduadosas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0001-9429-5855
- OpenAlex ID
- A5076158905, A5108245001, A5124588837, A5126469777, A5136205230, A5137516363as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 83
A Bayesian Decision Theory Approach for Genomic Selection,
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data,
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction,
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding,
A chickpea genetic variation map based on the sequencing of 3,366 genomes,
A Comparison of the Adoption of Genomic Selection Across Different Breeding Institutions,
A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library,
A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction
+75 more
← Authored by 83
A Bayesian Decision Theory Approach for Genomic Selection,
A Bayesian Genomic Multi-output Regressor Stacking Model for Predicting Multi-trait Multi-environment Plant Breeding Data,
A Bayesian Poisson-lognormal Model for Count Data for Multiple-Trait Multiple-Environment Genomic-Enabled Prediction,
A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding,
A chickpea genetic variation map based on the sequencing of 3,366 genomes,
A Comparison of the Adoption of Genomic Selection Across Different Breeding Institutions,
A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library,
A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction
+75 more
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Summary
José Crossa is a human[1].