Garrett Katz

Syracuse University, Department of Electrical Engineering & Computer Science

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research output per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Garrett Katz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Network

Recent external collaboration on country level. Dive into details by clicking on the dots.

1 Finished
1 Active

A Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning
Katz, G.
Office of Naval Research, University of Maryland, College Park
1/1/19 → 12/31/21
Project: Research project
Machine Learning with Baked-In Knowledge for Forecasting Large Complex Spatiotemporal Neurocomputational Systems with Application to Weather Forecasting
Katz, G.
Defense Advanced Research Projects Agency, University of Maryland, College Park
9/24/18 → 6/24/19
Project: Research project

90 Citations
6 h-Index
14 Article
10 Conference contribution

A novel application of levenshtein distance for assessment of high-level motor planning underlying performance during learning of complex motor sequences
Hauge, T. C., Katz, G. E., Davis, G. P., Jaquess, K. J., Reinhard, M. J., Costanzo, M. E., Reggia, J. A. & Gentili, R. J., Apr 2020, In : Journal of Motor Learning and Development. 8, 1, p. 67-86 20 p.
Research output: Contribution to journal › Article
1 Scopus citations
Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm
Salman, A. S., Salman, O. S. & Katz, G. E., 2020, Intelligent Computing - Proceedings of the 2020 Computing Conference. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 198-213 16 p. (Advances in Intelligent Systems and Computing; vol. 1229 AISC).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot
Hauge, T. C., Katz, G. E., Davis, G. P., Huang, D. W., Reggia, J. A. & Gentili, R. J., 2020, (Accepted/In press) In : International Journal of Social Robotics.
Research output: Contribution to journal › Article
A programmable neural virtual machine based on a fast store-erase learning rule
Katz, G. E., Davis, G. P., Gentili, R. J. & Reggia, J. A., Nov 2019, In : Neural Networks. 119, p. 10-30 21 p.
Research output: Contribution to journal › Article
Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation
Krishnagopal, S., Katz, G., Girvan, M. & Reggia, J., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851853. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning

Machine Learning with Baked-In Knowledge for Forecasting Large Complex Spatiotemporal Neurocomputational Systems with Application to Weather Forecasting

A novel application of levenshtein distance for assessment of high-level motor planning underlying performance during learning of complex motor sequences

Extending CNN Classification Capabilities Using a Novel Feature to Image Transformation (FIT) Algorithm

High-Level Motor Planning Assessment During Performance of Complex Action Sequences in Humans and a Humanoid Robot

A programmable neural virtual machine based on a fast store-erase learning rule

Encoding of a Chaotic Attractor in a Reservoir Computer: A Directional Fiber Investigation