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2020 – today
- 2023
[j1]Michelle S. Bester, Aaron E. Maxwell
, Isaac Nealey, Michael R. Gallagher, Nicholas S. Skowronski, Brenden E. McNeil:
Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison. Remote. Sens. 15(18): 4407 (2023)- [c5]Ivannia Gomez Moreno, Isaac Nealey, Daniel Roten, Mai H. Nguyen, Daniel Crawl, Kate O'Laughlin, Melissa Floca, Scott Pokswinski, Ilkay Altintas:
Visualization and Labeling of Terrestrial LiDAR Data for Three-Dimensional Fuel Classification. e-Science 2023: 1-2 - 2022
- [c4]Isaac Nealey, Daniela Encinas Pacheco, Ivannia Gomez Moreno, Melissa Floca, Daniel Crawl, Ilkay Altintas:
A Science-Enabled Virtual Reality Demonstration to Increase Social Acceptance of Prescribed Burns. e-Science 2022: 429-430 - [c3]Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Silvio Rizzi, Jurgen Schulze:
Sort-Last In-Transit Data Visualization with SENSEI, Catalyst, and Unreal Engine. LDAV 2022: 1-2 - [c2]Isaac Nealey, Nicola J. Ferrier, Joseph A. Insley, Victor A. Mateevitsi, Michael E. Papka, Silvio Rizzi:
Cinema Transfer: A Containerized Visualization Workflow. ISC Workshops 2022: 324-343
2010 – 2019
- 2019
- [c1]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. IPDPS Workshops 2019: 865-873 - [i1]Ilkay Altintas, Kyle Marcus, Isaac Nealey, Scott L. Sellars, John Graham, Dima Mishin, Joel Polizzi, Daniel Crawl, Thomas A. DeFanti, Larry Smarr:
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure. CoRR abs/1903.06802 (2019)
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