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David R Chapman
Machine Learning
Computer Vision
Data-driven Visual Understanding
Intelligent Visual Interpretation Systems
About
David Chapman is an Associate Professor at the University of Miami, where he is part of the Department of Computer Science. His research focuses on machine learning and computer vision, with an emphasis on developing intelligent systems that can learn from data and interpret visual information. Through his work, he contributes to advancing data-driven methods and visual understanding technologies, bridging theoretical foundations with practical applications.
Research Performance Summary
1978-2025
Active Research Span
First Recorded Paper
Rapid diagnosis of amniotic fluid embolism
Year:
1978
Citations:
1
Venue:
Journal of the South Carolina Medical Association (1975) 74 (6)
Latest Recorded Paper
Island Wake Semgenetation from Synthetic Aperture Radar Using a Chebyshev U-Net
Year:
2025
Citations:
0
Venue:
IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Chapman
Halem
Nguyen
Research Impact by Period
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
25
Citations
323
Avg. Citations / Paper
12.9
H-Index
10
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Papers
16
Citations
106
Avg. Citations / Paper
6.6
H-Index
5
Papers
12
Citations
19
Avg. Citations / Paper
1.6
H-Index
2
Papers
1
Citations
1
Avg. Citations / Paper
1
H-Index
1
Contact and Professional Links
Detected Research Keywords
Generative Adversarial Network
Active Semi Supervised
Semi Supervised Learning
Radiance Data Climate
Data Climate Studies
Year Earth Science
Earth Science Data
Science Data Record
Sensor Gridded Data
Gridded Data Record