Christopher A. Ramezan

According to our database, Christopher A. Ramezan authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

The modern cybersecurity analyst: An international position analysis.

Christopher A. Ramezan, Mohammad J. Ahmad, Ludwig Christian Schaupp, Frank W. Hatten, Michael A. Starling

Comput. Secur., 2026

IT Attacks, OT Panic: Mischaracterizations of Cyberattacks on Critical Infrastructure in Public Discourse.

Christopher A. Ramezan, Ian Frist, Ludwig Christian Schaupp, Jared Lemons

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership.

Christopher A. Ramezan

Comput. Secur., 2025

2024

An analysis of qualifications and requirements for geographic information systems (GIS) positions in the United States.

Christopher A. Ramezan, Aaron E. Maxwell, Joshua T. Meadows

Trans. GIS, August, 2024

2022

Transferability of Recursive Feature Elimination (RFE)-Derived Feature Sets for Support Vector Machine Land Cover Classification.

Christopher A. Ramezan

Remote. Sens., December, 2022

Enhancing Reproducibility and Replicability in Remote Sensing Deep Learning Research and Practice.

Aaron E. Maxwell, Michelle S. Bester, Christopher A. Ramezan

Remote. Sens., 2022

2021

Effects of Training Set Size on Supervised Machine-Learning Land-Cover Classification of Large-Area High-Resolution Remotely Sensed Data.

Christopher A. Ramezan, Timothy A. Warner, Aaron E. Maxwell, Bradley S. Price

Remote. Sens., 2021

2020

Semantic Segmentation Deep Learning for Extracting Surface Mine Extents from Historic Topographic Maps.

Aaron E. Maxwell, Michelle S. Bester, Luis Andrés Guillén, Christopher A. Ramezan, Dennis J. Carpinello, Yiting Fan, Faith M. Hartley, Shannon M. Maynard, Jaimee L. Pyron

Remote. Sens., 2020

2019

Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification.

Christopher A. Ramezan, Timothy A. Warner, Aaron E. Maxwell

Remote. Sens., 2019

Large-Area, High Spatial Resolution Land Cover Mapping Using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations.

Aaron E. Maxwell, Michael P. Strager, Timothy A. Warner, Christopher A. Ramezan, Alice N. Morgan, Cameron E. Pauley

Remote. Sens., 2019