Christine M. Schubert-Kabban

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Statistical Analyses

Recurrent Neural Networks

Top Venues

J. Complex Networks

Publications

Jeffrey Choate, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert-Kabban
An analysis of precision: occlusion and perspective geometry's role in 6D pose estimation. Neural Comput. Appl. 36 (3) (2024)
Anthony J. Rose, Scott R. Graham, Christine M. Schubert-Kabban, Jacob J. Krasnov, Wayne C. Henry
ScriptBlock Smuggling: Uncovering Stealthy Evasion Techniques in PowerShell and .NET Environments. J. Cybersecur. Priv. 4 (2) (2024)
George A. Reis, Michael E. Miller, Eric E. Geiselman, Brent T. Langhals, Christine M. Schubert-Kabban, Julie Ann Jackson
Effect of visual field asymmetries on performance while utilizing aircraft attitude symbology. Displays 77 (2023)
Tor J. Langehaug, Scott R. Graham, Christine M. Schubert-Kabban, Brett J. Borghetti
MADFAM: MicroArchitectural Data Framework and Methodology. IEEE Access 10 (2022)
Alex Contarino, Christine M. Schubert-Kabban, Chancellor Johnstone, Fairul Mohd-Zaid
Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods. CoRR (2022)
Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Christine M. Schubert-Kabban, Jacob A. Martin, Joseph Meola
Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Christopher M. Rondeau, Michael A. Temple, J. Addison Betances, Christine M. Schubert-Kabban
Extending critical infrastructure element longevity using constellation-based ID verification. Comput. Secur. 100 (2021)
Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban, Michael Miller
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks. Sensors 21 (16) (2021)
Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models. Sensors 21 (9) (2021)
Juan D. Jurado, John F. Raquet, Christine M. Schubert-Kabban
Single-Filter Finite Fault Detection and Exclusion Methodology for Real-Time Validation of Plug-and-Play Sensors. IEEE Trans. Aerosp. Electron. Syst. 57 (1) (2021)
Eric E. Geiselman, Michael E. Miller, Eric Heft, Christine M. Schubert-Kabban
Human performance evaluation of user interfaces for spatially-constrained text portrayal and access. Displays 68 (2021)
Jonathon S. Gipson, Christine M. Schubert-Kabban, Robert C. Leishman, Juan D. Jurado
Real-time Trajectory Optimization for Collaborative Self-Localization in Random Aircraft Formations. PLANS (2020)
Brent J. Stone, Scott R. Graham, Barry E. Mullins, Christine M. Schubert-Kabban
Unsupervised Time Series Extraction from Controller Area Network Payloads. CoRR (2019)
Mark E. Oxley, Christine M. Schubert-Kabban
Fusion within a Detection System Family. FUSION (2019)
Ryan G. Hefron, Brett J. Borghetti, Christine M. Schubert-Kabban, James C. Christensen, Justin Estepp
Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks. Sensors 18 (5) (2018)
Brent C. Nolan, Scott R. Graham, Barry E. Mullins, Christine M. Schubert-Kabban
Unsupervised Time Series Extraction from Controller Area Network Payloads. VTC Fall (2018)
Fairul Mohd-Zaid, Christine M. Schubert-Kabban, Richard F. Deckro
Erratum to "A test on the L-moments of the degree distribution of a Barabási-Albert network for detecting nodal and edge degradation". J. Complex Networks 6 (2) (2018)
Fairul Mohd-Zaid, Christine M. Schubert-Kabban, Richard F. Deckro
A test on the L-moments of the degree distribution of a Barabási-Albert network for detecting nodal and edge degradation. J. Complex Networks 6 (1) (2018)
Mark E. Oxley, Christine M. Schubert-Kabban
Fusion of Dependent Detection Systems Using Copula Theory. FUSION (2018)
Ryan G. Hefron, Brett J. Borghetti, James C. Christensen, Christine M. Schubert-Kabban
Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation. Pattern Recognit. Lett. 94 (2017)
James A. Fitch, Mark E. Oxley, Christine M. Schubert-Kabban
Optimal fusion rules for label fusion of dependent classification systems. FUSION (2015)
Hiren J. Patel, Christine M. Schubert-Kabban, Rusty O. Baldwin, David P. Montminy
Statistical analysis and comparison of linear regression attacks on the advanced encryption standard. Int. J. Inf. Commun. Technol. 7 (2/3) (2015)
Brandon M. Greenwell, Christine M. Schubert-Kabban
investr: An R Package for Inverse Estimation. R J. 6 (1) (2014)