Domingo Mata-Padrino
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Also affiliated: West Virginia University (2026)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Domingo Mata-Padrino's research focuses on developing predictive models for beef cattle performance, specifically investigating dry matter intake (DMI) and water intake. His work utilizes advanced machine learning techniques, including Gradient Boosting Machines (GPBoost) and Long Short-Term Memory (LSTM) networks, to create generalizable models for cattle under grazing conditions. These models aim to predict individual animal intake without requiring precise birth dates, employing MLOps and flask frameworks for deployment. Mata-Padrino has also characterized individual water intake patterns in beef cattle. His research has resulted in four publications in 2026, indicating recent activity in this area.
Metrics
- Publications: 4
Selected Publications
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Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates (2026)
Collaboration Network
Top Collaborators
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
- Deployable DMI prediction using GPBoost, MLOps, and flask without the need for exact birth dates
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