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Christine M. Schubert-Kabban
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2020 – today
- 2025
- [j20]Anthony J. Rose, Christine M. Schubert-Kabban, Scott R. Graham, Wayne C. Henry, Christopher M. Rondeau:
Malware classification through Abstract Syntax Trees and L-moments. Comput. Secur. 148: 104082 (2025) - 2024
- [j19]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): 153-166 (2024) - [j18]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): 1261-1281 (2024) - 2023
- [j17]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: 102404 (2023) - 2022
- [j16]Tor J. Langehaug, Scott R. Graham, Christine M. Schubert-Kabban, Brett J. Borghetti:
MADFAM: MicroArchitectural Data Framework and Methodology. IEEE Access 10: 23511-23531 (2022) - [i2]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 abs/2210.05354 (2022) - 2021
- [j15]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: 102073 (2021) - [j14]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: 102003 (2021) - [j13]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): 3225 (2021) - [j12]Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban, Michael E. Miller:
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks. Sensors 21(16): 5617 (2021) - [j11]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: 127-140 (2021) - [j10]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): 66-75 (2021) - 2020
- [j9]Stéphane Guerrier, Juan D. Jurado, Mehran Khaghani, Gaetan Bakalli, Mucyo Karemera, Roberto Molinari, Samuel Orso, John F. Raquet, Christine M. Schubert, Jan Skaloud, Haotian Xu, Yuming Zhang:
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration. IEEE Trans. Instrum. Meas. 69(10): 7542-7551 (2020) - [c9]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: 118-124
2010 – 2019
- 2019
- [c8]Mark E. Oxley, Christine M. Schubert-Kabban:
Fusion within a Detection System Family. FUSION 2019: 1-8 - [i1]Brent J. Stone, Scott R. Graham, Barry E. Mullins, Christine M. Schubert-Kabban:
Unsupervised Time Series Extraction from Controller Area Network Payloads. CoRR abs/1904.03078 (2019) - 2018
- [j8]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): 24-53 (2018) - [j7]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): 317-319 (2018) - [j6]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): 1339 (2018) - [c7]Mark E. Oxley, Christine M. Schubert-Kabban:
Fusion of Dependent Detection Systems Using Copula Theory. FUSION 2018: 1268-1273 - [c6]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: 1-5 - 2017
- [j5]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: 96-104 (2017) - 2015
- [j4]Christine M. Schubert, Tobias Guennel:
Comparing Performance of Multiclass Classification Systems with ROC Manifolds: When Volume and Correct Classification Fails. Commun. Stat. Simul. Comput. 44(3): 719-738 (2015) - [j3]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): 159-184 (2015) - [c5]James A. Fitch, Mark E. Oxley, Christine M. Schubert-Kabban:
Optimal fusion rules for label fusion of dependent classification systems. FUSION 2015: 605-612 - 2014
- [j2]Brandon M. Greenwell, Christine M. Schubert-Kabban:
investr: An R Package for Inverse Estimation. R J. 6(1): 90 (2014) - 2012
- [c4]Erin T. Ryan, David R. Jacques, John M. Colombi, Christine M. Schubert:
A Proposed Methodology to Characterize the Accuracy of Life Cycle Cost Estimates for DoD Programs. CSER 2012: 361-369 - 2011
- [j1]Christine M. Schubert, Steven N. Thorsen, Mark E. Oxley:
The ROC manifold for classification systems. Pattern Recognit. 44(2): 350-362 (2011)
2000 – 2009
- 2009
- [c3]Mark E. Oxley, Steven N. Thorsen, Christine M. Schubert:
The ROC manifold of fused independent classification systems. FUSION 2009: 466-473 - 2008
- [c2]Mark E. Oxley, Steven N. Thorsen, Kenneth W. Bauer Jr., Christine M. Schubert:
Performances of an ATR system via its ROC manifold. FUSION 2008: 1-6 - 2007
- [c1]Mark E. Oxley, Steven N. Thorsen, Christine M. Schubert:
A Boolean Algebra of receiver operating characteristic curves. FUSION 2007: 1-8
Coauthor Index
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