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Larry Pyeatt
Artificial Intelligence
Assembly Language Programming
AI Textbooks Authorship
About
Dr. Pyeatt earned his BS and MS degrees at Texas Tech University, and then spent some time working in industry. He earned his doctorate in Computer Science, focusing on Artificial Intelligence, from Colorado State University in 1999. He spend 13 years as a professor at Texas Tech University before moving to the South Dakota School of Mines an Technology in 2012. Dr. Pyeatt has published many scientific papers in the field of artificial intelligence, and has published three textbooks on Assembly Language programming.
Research Performance Summary
1991-2023
Active Research Span
First Recorded Paper
Application of the neural ring pattern classifier to speech recognition
Year:
1991
Citations:
0
Venue:
N/A
Latest Recorded Paper
Deep Generative Modeling for Communication Systems Testing and Data Sharing
Year:
2023
Citations:
0
Venue:
N/A
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
Pyeatt
Randrianasolo
Moore
Research Impact by Period
Papers
3
Citations
6
Avg. Citations / Paper
2
H-Index
1
Papers
6
Citations
41
Avg. Citations / Paper
6.8
H-Index
3
Papers
14
Citations
360
Avg. Citations / Paper
25.7
H-Index
7
Papers
4
Citations
23
Avg. Citations / Paper
5.8
H-Index
3
Papers
9
Citations
74
Avg. Citations / Paper
8.2
H-Index
4
Papers
15
Citations
734
Avg. Citations / Paper
48.9
H-Index
9
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Contact and Professional Links
Detected Research Keywords
Partially Observable Markov
Observable Markov Decision
Reinforcement Learning Closed
Learning Closed Loop
Closed Loop Propofol
Loop Propofol Anesthesia
Cellular Encoding Applied
Encoding Applied Neurocontrol
Learning Race Experiments
Race Experiments Simulated