Guilherme J. M. Rosa

According to our database, Guilherme J. M. Rosa authored at least 12 papers between 2009 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Prediction of Carcass Bruising and Associated Losses in Beef Cattle.

Fabio Martins Guerra Nunes Dias, Fredson V. Silva, Flávio T. Rafael Moura, André G. M. Silva, Marcos F. S. V. D'Angelo, José Bento S. Ferraz, Guilherme J. M. Rosa

IEEE Access, 2026

2025

Enhancing Breast Density Assessment in Mammograms Through Artificial Intelligence.

Naila Camila da Rocha, Abner Macola Pacheco Barbosa, Yaron Oliveira Schnr, Lucas Dias Borges Peres, Luis Gustavo Modelli de Andrade, Guilherme Jordão de Magalhães Rosa, Eduardo Carvalho Pessoa, José Eduardo Corrente, Liciana Vaz de Arruda Silveira

J. Imaging Inform. Medicine, 2025

2024

Multi-modal machine learning for the early detection of metabolic disorder in dairy cows using a cloud computing framework.

Rafael E. P. Ferreira, Maria Angels de Luis Balaguer, Tiago Bresolin, Ranveer Chandra, Guilherme J. M. Rosa, Heather M. White, João R. R. Dórea

Comput. Electron. Agric., 2024

Monitoring mortality events in floor-raised broilers using machine learning algorithms trained with feeding behavior time-series data.

Anderson A. C. Alves, Arthur F. A. Fernandes, Vivian Breen, Rachel Hawken, Guilherme J. M. Rosa

Comput. Electron. Agric., 2024

2022

Using dorsal surface for individual identification of dairy calves through 3D deep learning algorithms.

Rafael E. P. Ferreira, Tiago Bresolin, Guilherme J. M. Rosa, João R. R. Dórea

Comput. Electron. Agric., 2022

2020

Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia.

Arthur F. A. Fernandes, Eduardo M. Turra, Érika R. de Alvarenga, Tiago L. Passafaro, Fernando B. Lopes, Gabriel F. O. Alves, Vikas Singh, Guilherme J. M. Rosa

Comput. Electron. Agric., 2020

2019

Record linkage for farm-level data analytics: Comparison of deterministic, stochastic and machine learning methods.

Vera Cardoso Ferreira Aiken, João Ricardo Rebouças Dórea, Juliano Sabella Acedo, Fernando Gonçalves de Sousa, Fábio Guerra Dias, Guilherme Jordão de Magalhães Rosa

Comput. Electron. Agric., 2019

2018

Applying family analyses to electronic health records to facilitate genetic research.

Xiayuan Huang, Robert C. Elston, Guilherme J. M. Rosa, John Mayer, Zhan Ye, Terrie E. Kitchner, Murray H. Brilliant, David Page, Scott J. Hebbring

Bioinform., 2018

2015

Exploring causal networks underlying fat deposition and muscularity in pigs through the integration of phenotypic, genotypic and transcriptomic data.

Francisco Peñagaricano, Bruno Valente, Juan P. Steibel, Ronald O. Bates, Catherine W. Ernst, Hasan Khatib, Guilherme J. M. Rosa

BMC Syst. Biol., 2015

2009

Optimizing design of two-stage experiments for transcriptional profiling.

Juan P. Steibel, Guilherme J. M. Rosa, Robert J. Tempelman

Comput. Stat. Data Anal., 2009

A mixture model approach for the analysis of small exploratory microarray experiments.

William M. Muir, Guilherme J. M. Rosa, Barry R. Pittendrigh, Z. Xu, S. D. Rider, Matthew Fountain, Joe Ogas

Comput. Stat. Data Anal., 2009

Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide.

David B. Allison, Peter M. Visscher, Guilherme J. M. Rosa, Christopher I. Amos

Comput. Stat. Data Anal., 2009