Pesquisa

Inteligência Computacional (Computacional Inteligence)

Livros (Books)

• Inteligência Computacional Aplicada ao Melhoramento Genético, Editora UFV, 2017

Artigos (Articles)

• Two-step genomic prediction using artificial neural networks – an effective strategy for reducing computational costs and increasing prediction accuracy. Acta Scientiarum. 2025.
• Evaluation of Bayesian methods of genomic association via chromosomic regions using simulated data. Scientia Agricola.
• Artificial neural networks classifiy cotton genotypes for length of fibers. Crop Breeding and Applied Biotechnology, 2017.
• Artificial neural network for leaf rust resistance prediction in Coffea arabica. Pesquisa Agropecuária Brasileira, 2017.
• Artificial neural network for prediction of the area under the disease progress curve of tomato late blight. Scientia Agricola, v. 74, p. 51-59, 2017.
• Redes neurais artificiais e análise discriminante linear na seleção precoce entre famílias de cana-de-açúcar. Crop Breeding and Applied Biotechnology, 2017.
• Accessing marker effects and heritability estimates from genome prediction by Bayesian regularized neural networks. Livestock Science, v. 1, p. 1, 2016.
•  Evaluation of the efficiency of artificial neural networks for genetic value prediction. Genetics and Molecular Research, v. 15, p. gmr.15017676, 2016.
• Using artificial neural networks to select upright cowpea (Vigna unguiculata) genotypes with high productivity and phenotypic stability. Genetics and Molecular Research, v. 15, p. gmr1504904, 2016.
• Redes neurais artificiais para identificar genótipos de feijão-caupi semiprostrado com alta adaptabilidade e estabilidade fenotípica. Pesquisa Agropecuária Brasileira, v. 50, p. 1054-1060, 2015.
• Application neural networks to predict volume in eucalyptus. Crop Breeding and Applied Biotechnology, v. 15, p. 125-131, 2015.
• Superiority of artificial neural networks for a genetic classification procedure. Genetics and Molecular Research, v. 14, p. 9898-9906, 2015.
• Neural networks for predicting breeding values and genetic gains. Scientia Agricola, v. 71, p. 443-541, 2014.
• SNPs selection using support vector regression and genetic algorithms in GWAS. BMC Genomics, v. 15, p.S4, 2014.
• Uso do método de Eberhart e Russel como informação a priori para aplicação de redes neurais artificiais e análise discriminante visando a classificação de genótipos de alfafa quanto à adaptabilidade e estabilidade fenotípica. Revista Brasileira de Biometria, v. 31, p. 176-188, 2013.
• Artificial neural networks in evaluating the adaptability and stability in alfafa genotypes. Crop Breeding and Applied Biotechnology, v. 12, p. 152-156, 2013.

Aprendizado Estatístico (Statistical Learning)

Livros (Books)

Artigos (Articles)

• Bayesian segmented regression model for adaptability and stability evaluation of cotton genotypes. Euphytica, 2020.
• Independent Component Analysis (ICA) based-clustering of temporal RNA-seq data. PLoS ONE 12(7): e0181195. https://doi.org/10.1371/journal.pone.0181195, 2017.
• Regularized quantile regression for SNP marker association of pig growth curves.  Journal of Animal Science and Biotechology, 2017.
• Regularized quantile regression applied to genome-enabled prediction of quantitative traits. Genetics and Molecular Research, v. 16, p. gmr16019538, 2017.
• Geminivirus data warehouse: a database enriched with machine learning approaches. BMC BIOINFORMATICS, v. 18, p. 1, 2017.
• Parallel Computing Applied to Genomic Selection in Plant Breeding. Revista Brasileira de Biometria, 2017
• Factor analysis applied to genome prediction for high-dimensional phenotypes in pigs. Genetics and Molecular Research, v. 15, p. gmr.150282, 2016.
• Multi-Trait analysis of growth traits: fitting reduced rank models using principal components for Simmental beef cattle. Ciência Rural, v. 9, p. 1-0, 2016.
• Comparison of dimensionality reduction methods to predict genomic breeding values for carcass traits in pigs. Genetics and Molecular Research, v. 14, p. 12217-12227, 2015.
• A discriminant function for validation of the cluster analysis and behavioral prediction of the coffee market. Food Research International, v. 00, p. 00, 2015.
• Metodologia para análise de adaptabilidade e estabilidade por meio de regressão quantílica. Pesquisa Agropecuária Brasileira, 2015.
• Multiple centroid method to evaluate the adaptability of alfalfa genotypes. Revista Ceres (Online), v. 66, p. 1-10, 2015.
• DETERMINAÇÃO DE FATORES EM CARACTERÍSTICAS DE SUÍNOS. Revista Brasileira de Biometria, v. 33, p. 130-138, 2015.
• Análise de agrupamento em seleção de modelos de regressão não lineares para descrever o acúmulo de matéria seca em plantas de alho. Revista Brasileira de Biometria, v. 31, p. 337-351, 2013.
• Associação entre respostas de métodos de adaptabilidade e estabilidade em alfafa. Semina. Ciências Agrárias (Impresso), v. 34, p. 2545-2554, 2013.
• Eficiência técnica da atividade leiteira em Minas Gerais: uma aplicação de regressão quantílica. Revista Brasileira de Zootecnia (Online), v. 41, p. 783-789, 2012.