Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding von Montesinos‐Lopez, Osval Antonio, Montesinos‐Lopez, Abelardo, Acosta, Ricardo, Varshney, Rajeev K., Bentley, Alison, Crossa, Jose

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Multivariate Statistical Machine Learning Methods for Genomic Prediction von Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

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Prioritization-Driven Congestion Control in Networks for the Internet of Medical Things: A Cross-Layer Proposal von Buenrostro-Mariscal, Raymundo, Santana-Mancilla, Pedro C, Montesinos-López, Osval Antonio, Vazquez-Briseno, Mabel, Nieto-Hipolito, Juan Ivan

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Introduction to Experimental Designs with PROC GLIMMIX of SAS: Applications in Food Science and Agricultural Science von Salinas Ruíz, Josafhat, Montesinos López, Osval Antonio, Crossa, Jose

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GROWTH MINDSET, SCHOOL CONTEXT, AND MATHEMATICS ACHIEVEMENT IN INDONESIA: A MULTILEVEL MODEL von Kismiantini, Kismiantini, Setiawan, Ezra Putranda, Pierewan, Adi Cilik, Montesinos-Lopez, Osval Antonio

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Generalized Linear Mixed Models with Applications in Agriculture and Biology von Salinas Ruíz, Josafhat, Montesinos López, Osval Antonio, Hernández Ramírez, Gabriela, Crossa Hiriart, Jose

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A review of deep learning applications for genomic selection von Montesinos-López, Osval Antonio, Montesinos-López, Abelardo, Pérez-Rodríguez, Paulino, Barrón-López, José Alberto, Martini, Johannes W R, Fajardo-Flores, Silvia Berenice, Gaytan-Lugo, Laura S, Santana-Mancilla, Pedro C, Crossa, José

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Comparing gradient boosting machine and Bayesian threshold BLUP for genome‐based prediction of categorical traits in wheat breeding von Montesinos‐López, Osval Antonio, Gonzalez, Henry Nicole, Montesinos‐López, Abelardo, Daza‐Torres, María, Lillemo, Morten, Montesinos‐López, José Cricelio, Crossa, José

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Deep‐learning power and perspectives for genomic selection von Montesinos‐López, Osval Antonio, Montesinos‐López, Abelardo, Hernandez‐Suarez, Carlos Moises, Barrón‐López, José Alberto, Crossa, José

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A Review of Deep Learning Applications for the Next Generation of Cognitive Networks von Buenrostro-Mariscal, Raymundo, Santana-Mancilla, Pedro C., Montesinos-López, Osval Antonio, Nieto Hipólito, Juan Ivan, Anido-Rifón, Luis E.

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Prediction of count phenotypes using high-resolution images and genomic data von Kismiantini,  , Montesinos-López, Osval Antonio, Crossa, José, Setiawan, Ezra Putranda, Wutsqa, Dhoriva Urwatul

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A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction von Montesinos López, Osval Antonio, Mosqueda González, Brandon Alejandro, Palafox González, Abel, Montesinos López, Abelardo, Crossa, José

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Bayesian multitrait kernel methods improve multienvironment genome-based prediction von Montesinos-López, Osval Antonio, Montesinos-López, José Cricelio, Montesinos-López, Abelardo, Ramírez-Alcaraz, Juan Manuel, Poland, Jesse, Singh, Ravi, Dreisigacker, Susanne, Crespo, Leonardo, Mondal, Sushismita, Govidan, Velu, Juliana, Philomin, Espino, Julio Huerta, Shrestha, Sandesh, Varshney, Rajeev K, Crossa, José

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A Multivariate Poisson Deep Learning Model for Genomic Prediction of Count Data von Montesinos-López, Osval Antonio, Montesinos-López, José Cricelio, Singh, Pawan, Lozano-Ramirez, Nerida, Barrón-López, Alberto, Montesinos-López, Abelardo, Crossa, José

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Analysis of Genotype-by-Environment Interaction in Winter Wheat Growth in Organic Production System von López, Osval Antonio Montesinos, Baenziger, P. Stephen, EskridgeK, Kent M., Little, Richard S., Crúz, Eliel Martínez, Perez, Emeterio Franco

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Automated Machine Learning: A Case Study of Genomic "Image-Based" Prediction in Maize Hybrids von Galli, Giovanni, Sabadin, Felipe, Yassue, Rafael Massahiro, Galves, Cassia, Carvalho, Humberto Fanelli, Crossa, Jose, Montesinos-López, Osval Antonio, Fritsche-Neto, Roberto

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Maximum a posteriori Threshold Genomic Prediction Model for Ordinal Traits von Montesinos-López, Abelardo, Gutierrez-Pulido, Humberto, Montesinos-López, Osval Antonio, Crossa, José

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Optimal sample size for estimating the proportion of transgenic plants using the Dorfman model with a random confidence interval von Montesinos-López, Osval Antonio, Montesinos-López, Abelardo, Crossa, José, Eskridge, Kent, Sáenz, Ricardo A.

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Sample size under inverse negative binomial group testing for accuracy in parameter estimation von Montesinos-López, Osval Antonio, Montesinos-López, Abelardo, Crossa, José, Eskridge, Kent

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A guide for kernel generalized regression methods for genomic-enabled prediction von Montesinos-López, Abelardo, Montesinos-López, Osval Antonio, Montesinos-López, José Cricelio, Flores-Cortes, Carlos Alberto, de la Rosa, Roberto, Crossa, José

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