Listar por autor "Montesinos-Lopez, J.C."
Mostrando ítems 1-10 de 10
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Article
A Bayesian genomic multi-output regressor stacking model for predicting multi-trait multi-environment plant breeding data
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J.; Cuevas, J.; Montesinos-Lopez, J.C.; Salas Gutiérrez, Z.; Lillemo, M.; Juliana, P.; Singh, R.P. (Genetics Society of America, 2019)
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Article
A guide for kernel generalized regression methods for genomic-enabled prediction
Montesinos-Lopez, A.; Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Flores-Cortes, C.A.; Rosa-Santamaria, R. de la; Crossa, J. (Springer Nature, 2021)
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Article
A multi-trait gaussian kernel genomic prediction model under three tunning strategies
Kismiantini; Montesinos-Lopez, A.; Cano-Paez, B.; Montesinos-Lopez, J.C.; Chavira-Flores, M.; Montesinos-Lopez, O.A.; Crossa, J. (MDPI, 2022)
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Article
A multivariate Poisson deep learning model for genomic prediction of count data
Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Singh, P.K.; Lozano-Ramirez, N.; Barrón-López, A.; Montesinos-Lopez, A.; Crossa, J. (Genetics Society of America, 2020)
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Article
A zero altered Poisson random forest model for genomic-enabled prediction
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Mosqueda-Gonzalez, B.A.; Montesinos-Lopez, J.C.; Crossa, J.; Lozano-Ramirez, N.; Singh, P.K.; Valladares-Anguiano, F.A. (Genetics Society of America, 2021)
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Article
Application of a Poisson deep neural network model for the prediction of count data in genome-based prediction
Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Salazar, E.; Barron, J.A.; Montesinos-Lopez, A.; Buenrostro-Mariscal, R.; Crossa, J. (Wiley, 2021)
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Article
Bayesian multitrait kernel methods improve multienvironment genome-based prediction
Montesinos-Lopez, O.A.; Montesinos-Lopez, J.C.; Montesinos-Lopez, A.; Ramirez-Alcaraz, J.M.; Poland, J.A.; Singh, R.P.; Dreisigacker, S.; Crespo Herrera, L.A.; Mondal, S.; Velu, G.; Juliana, P.; Huerta-Espino, J.; Shrestha, S.; Varshney, R.K.; Crossa, J. (Oxford University Press, 2022)
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Article
A bayesian poisson-lognormal model for count data for multiple-trait multiple-environment genomic-enabled prediction
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J.; Toledo, F.H.; Montesinos-Lopez, J.C.; Singh, P.K.; Juliana, P.; Salinas-Ruiz, J. (Genetics Society of America, 2017)
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Article
Comparing gradient boosting machine and Bayesian threshold BLUP for genome-based prediction of categorical traits in wheat breeding
Montesinos-Lopez, O.A.; Gonzalez, H.N.; Montesinos-Lopez, A.; Daza-Torres, M.; Lillemo, M.; Montesinos-Lopez, J.C.; Crossa, J. (Wiley, 2022)
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Article
Prediction of multiple-trait and multiple-environment genomic data using recommender systems
Montesinos-Lopez, O.A.; Montesinos-Lopez, A.; Crossa, J.; Montesinos-Lopez, J.C.; Mota-Sanchez, D.; Estrada-González, F.; Gillberg, J.; Singh, R.G.; Mondal, S.; Juliana, P. (Genetics Society of America, 2018)