D
Dakota S. Dale Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
3 h-index
8 pubs
25 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Dakota S. Dale's research focuses on the application of machine learning and deep learning techniques to diverse data sources. Recent work includes developing deep learning solutions for mapping rice production systems using very high-resolution imagery and utilizing AI for cyber event open-source intelligence (OSINT) gathering from Twitter data. Dale has also investigated machine learning schemes for predicting CVSS base scores and explored COVID-19 diagnosis using chest X-rays and transfer learning. Collaborations include work with Benjamin R. K. Runkle and Kylie McClanahan at the University of Arkansas at Fayetteville, and Jennifer Fowler and Emily S. Bellis at Arkansas State University, with multiple shared publications.
Metrics
- h-index: 3
- Publications: 8
- Citations: 25
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
Lü Liang
University of North Texas (US)
4 shared publications
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep Learning Solutions for Very High Resolution Mapping of Contour Levee Rice Production Systems
- 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
Liheng Zhong
State of California
4 shared publications
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep Learning Solutions for Very High Resolution Mapping of Contour Levee Rice Production Systems
- 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
Michele L. Reba
Agricultural Research Service (US)
4 shared publications
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep Learning Solutions for Very High Resolution Mapping of Contour Levee Rice Production Systems
- 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
Benjamin R. K. Runkle
University of Arkansas at Fayetteville
4 shared publications
In database
- Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery
- Deep Learning Solutions for Very High Resolution Mapping of Contour Levee Rice Production Systems
- 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
Kylie McClanahan
Walmart (United States)
2 shared publications
In database
- AI-based Cyber Event OSINT via Twitter Data
- Twitter-Based OSINT for Cyber Event Analytics
Qinghua Li
University of Arkansas at Fayetteville (US)
2 shared publications
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
- Twitter-Based OSINT for Cyber Event Analytics
Jonathan Stubblefield
Arkansas Biosciences Institute (US)
1 shared publication
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Jason Causey
Arkansas State University
1 shared publication
In database
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Jake Qualls
Arkansas State University
1 shared publication
In database
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Emily S. Bellis
Arkansas State University
1 shared publication
In database
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Jennifer Fowler
Arkansas Biosciences Institute
1 shared publication
In database
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Karl Walker
University of Arkansas at Pine Bluff (US)
1 shared publication
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Xiuzhen Huang
Cedars-Sinai Medical Center (US)
1 shared publication
- COVID19 Diagnosis Using Chest X-rays and Transfer Learning
Qinghua Li
University of Arkansas at Fayetteville
1 shared publication
In database
- AI-based Cyber Event OSINT via Twitter Data
Dinesh T. Vasireddy
1 shared publication
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
Similar Researchers
Based on overlapping research topics
Fahad Layth Malallah
University of Arkansas at Little Rock
Machine Learning Applications
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Mohammad Nadim
University of Arkansas at Fayetteville
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Yu Sun
University of Central Arkansas
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Ngan Le
University of Arkansas at Fayetteville
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Zheng Hu
University of Arkansas at Fayetteville
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Network Security and Intrusion Detection
Edidiong Elijah Akpan
Arkansas Tech University
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Network Security and Intrusion Detection