Brianna Annaratone
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Biography and Research Information
OverviewAI-generated summary
Brianna Annaratone's research focuses on the application of machine learning to ecological questions, particularly in the prediction of species habitats and distributions. Her recent publication, "Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models," published in 2023, exemplifies this focus. This work utilized Random Forest models to analyze environmental factors influencing the stonefly's presence. Annaratone has collaborated with researchers at the University of Arkansas at Fayetteville, including Ashley P. G. Dowling, Clay Prater, Michelle A. Evans‐White, and Daniel D. Magoulick, on shared publications. Her scholarly output includes one publication with an h-index of 1 and two total citations.
Metrics
- h-index: 1
- Publications: 1
- Citations: 2
Selected Publications
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Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models (2023)
Collaboration Network
Top Collaborators
- Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models
- Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models
- Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models
- Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models
- Predicting Habitat and Distribution of an Interior Highlands Regional Endemic Winter Stonefly (Allocapnia mohri) in Arkansas Using Random Forest Models
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