Match tier
Likely match
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-08
D
Dakota S. Dale
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Researcher
Also affiliated: Walmart (United States) (2025)
Unknown Researcher
3 h-index
8 pubs
28 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: 28
Selected Publications
-
Twitter-Based OSINT for Cyber Event Analytics (2025)
-
Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
-
Dataset for Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
-
CVSS Base Score Prediction Using an Optimized Machine Learning Scheme (2023)
-
Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery (2023)
-
AI-based Cyber Event OSINT via Twitter Data (2023)
-
COVID19 Diagnosis Using Chest X-rays and Transfer Learning (2022)
Collaboration Network
Top Collaborators
Lü Liang
University of North Texas (US)
3 shared publications
- 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
Liheng Zhong
State of California (US)
3 shared publications
- 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
Michele L. Reba
Agricultural Research Service (US)
3 shared publications
- 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
Benjamin R. K. Runkle
University of Arkansas at Fayetteville
3 shared publications
In database
- 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
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
2 shared publications
In database
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
- Twitter-Based OSINT for Cyber Event Analytics
Jonathan Stubblefield
Arkansas State University (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 State University
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
Arkansas State University (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
Mohammad Nadim
University of Arkansas at Fayetteville
Machine Learning Applications
Remote Sensing in Agriculture
Network Security and Intrusion Detection
Donghoon Kim
Arkansas State University
Machine Learning Applications
Advanced Neural Network Applications
Remote Sensing in Agriculture
Imraul Emmaka
University of Arkansas at Little Rock
Machine Learning Applications
Advanced Neural Network Applications
Network Security and Intrusion Detection
Divya Nimma
Arkansas Tech University
Machine Learning Applications
Advanced Neural Network Applications
Remote Sensing in Agriculture
Zheng Hu
University of Arkansas at Fayetteville
Machine Learning Applications
Advanced Neural Network Applications
Network Security and Intrusion Detection
Quang Sang Truong
University of Arkansas at Fayetteville
Machine Learning Applications
Advanced Neural Network Applications
Medical Imaging Techniques and Applications