A General-Purpose Machine Learning R Library for Sparse Kernels Methods With an Application for Genome-Based Prediction

A guide for kernel generalized regression methods for genomic-enabled prediction

(2021) Abelardo Montesinos-López et al.   HEREDITY

Deep‐learning power and perspectives for genomic selection

(2021) Osval Antonio Montesinos‐López et al.   Plant Genome

GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens

(2020) Tankred Ott et al.   Applications in Plant Sciences

Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

(2020) Jaime Cuevas et al.   Frontiers in Genetics

Deep Kernel for Genomic and Near Infrared Predictions in Multi-Environment Breeding Trials

(2019) Jaime Cuevas et al.   G3-Genes Genomes Genetics

Novel cascaded Gaussian mixture model-deep neural network classifier for speaker identification in emotional talking environments

(2018) Ismail Shahin et al.   NEURAL COMPUTING & APPLICATIONS

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

(2017) Massaine Bandeira e Souza et al.   G3-Genes Genomes Genetics

Genomic Prediction of Genotype × Environment Interaction Kernel Regression Models

(2016) Jaime Cuevas et al.   Plant Genome

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Genome-Wide Regression and Prediction with the BGLR Statistical Package

(2014) P. Perez et al.   GENETICS

Prediction of Genetic Values of Quantitative Traits in Plant Breeding Using Pedigree and Molecular Markers

(2010) J. Crossa et al.   GENETICS

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics