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Daniel Leeds
Models Of Biological Perception
Machine Learning
Signal Processing
Computer Vision
About
Dr. Daniel D. Leeds is an assistant professor of Computer and Information Science at Fordham University. He received his PhD in the Program in Neural Computation at Carnegie Mellon University, and received his SB and MEng degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. His research focuses on models of biological perception, developing techniques in machine learning, signal processing, and computer vision. He is a recipient of RK Mellon Foundation's Presidential Fellowship in Life Sciences as well as the National Science Foundation's IGERT Fellowship.
Research Performance Summary
2001-2022
Active Research Span
First Recorded Paper
Independent Manifolds in the Zebra Finch Song: A Strategy for Robust Social Interaction
Year:
2001
Citations:
0
Venue:
N/A
Latest Recorded Paper
Beliefs affecting concussion reporting among military cadets: advanced observations through machine learning
Year:
2022
Citations:
3
Venue:
Brain injury
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
Leeds
Tarr
Pyles
Research Impact by Period
Papers
13
Citations
64
Avg. Citations / Paper
4.9
H-Index
4
Papers
10
Citations
18
Avg. Citations / Paper
1.8
H-Index
2
Papers
9
Citations
84
Avg. Citations / Paper
9.3
H-Index
3
Papers
3
Citations
140
Avg. Citations / Paper
46.7
H-Index
2
Papers
1
Citations
0
Avg. Citations / Paper
0
H-Index
0
Contact and Professional Links
Detected Research Keywords
Comparing Visual Representations
Visual Representations Across
Representations Across Human
Across Human Fmri
Identifying Hubs Undergraduate
Hubs Undergraduate Course
Undergraduate Course Networks
Course Networks Scaled
Networks Scaled Co
Scaled Co Enrollments