Dakota S. Dale
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Biography and Research Information
OverviewAI-generated summary
Dakota S. Dale's research focuses on the application of artificial intelligence and machine learning techniques to analyze complex data. Dale has published work on using AI for cybersecurity event analysis through open-source intelligence from Twitter data, as well as developing deep learning models for mapping agricultural systems, specifically contour levee rice production, from high-resolution imagery. Another area of Dale's work involves predicting the Common Vulnerability Scoring System (CVSS) base score using optimized machine learning schemes. Additionally, Dale has investigated the use of transfer learning with deep learning for COVID-19 diagnosis based on chest X-rays. Dale collaborates with researchers at the University of Arkansas at Fayetteville, including Qinghua Li, Benjamin R. K. Runkle, and Kylie McClanahan, and also with Jennifer Fowler from Arkansas State University.
Metrics
- h-index: 4
- Publications: 8
- Citations: 30
Selected Publications
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Twitter-Based OSINT for Cyber Event Analytics (2025)
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Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
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Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
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CVSS Base Score Prediction Using an Optimized Machine Learning Scheme (2023)
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Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
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AI-based Cyber Event OSINT via Twitter Data (2023)
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COVID19 Diagnosis Using Chest X-rays and Transfer Learning (2022)
Collaboration Network
Top Collaborators
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- AI-based Cyber Event OSINT via Twitter Data
- Twitter-Based OSINT for Cyber Event Analytics
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
- Twitter-Based OSINT for Cyber Event Analytics
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
- AI-based Cyber Event OSINT via Twitter Data
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
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