Christine M. Schubert-Kabban

发表

Mark E. Oxley, Christine M. Schubert-Kabban, 2019, 2019 22th International Conference on Information Fusion (FUSION).

Erratum to "A test on the L-moments of the degree distribution of a Barabási-Albert network for detecting nodal and edge degradation"

Richard F. Deckro, Fairul Mohd-Zaid, Christine M. Schubert-Kabban, 2018, J. Complex Networks.

The ROC manifold for classification systems

Steven N. Thorsen, Mark E. Oxley, Christine M. Schubert-Kabban, 2011, Pattern Recognit..

Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation

James C. Christensen, Brett J. Borghetti, Christine M. Schubert-Kabban, 2017, Pattern Recognit. Lett..

An analysis of the influences of biological variance, measurement error, and uncertainty on retinal photothermal damage threshold studies

Raymond R. Hill, Christine M. Schubert-Kabban, David A. Wooddell, 2012, BiOS.

The ROC manifold of fused independent classification systems

Steven N. Thorsen, Mark E. Oxley, Christine M. Schubert-Kabban, 2009, 2009 12th International Conference on Information Fusion.

Unsupervised Time Series Extraction from Controller Area Network Payloads

Barry E. Mullins, Scott R. Graham, Christine M. Schubert-Kabban, 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).

Statistical analysis and comparison of linear regression attacks on the advanced encryption standard

Rusty O. Baldwin, Hiren J. Patel, Christine M. Schubert-Kabban, 2015, Int. J. Inf. Commun. Technol..

Sequential and parallel fusion of detection and classification systems

Mark E. Oxley, Christine M. Schubert-Kabban, 2019, Defense + Commercial Sensing.

Comparing Performance of Multiclass Classification Systems with ROC Manifolds: When Volume and Correct Classification Fails

Christine M. Schubert-Kabban, Tobias Guennel, T. Guennel, 2015, Commun. Stat. Simul. Comput..

Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks

James C. Christensen, Brett J. Borghetti, Christine M. Schubert-Kabban, 2018, Sensors.

A Boolean Algebra of receiver operating characteristic curves

Steven N. Thorsen, Mark E. Oxley, Christine M. Schubert-Kabban, 2007, 2007 10th International Conference on Information Fusion.

Performances of an ATR system via its ROC manifold

Kenneth W. Bauer, Steven N. Thorsen, Mark E. Oxley, 2008, 2008 11th International Conference on Information Fusion.

Real-time Trajectory Optimization for Collaborative Self-Localization in Random Aircraft Formations

Robert C. Leishman, Juan D. Jurado, Christine M. Schubert-Kabban, 2020, 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS).

Fusion of Dependent Detection Systems Using Copula Theory

Mark E. Oxley, Christine M. Schubert-Kabban, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Optimal fusion rules for label fusion of dependent classification systems

Mark E. Oxley, Christine M. Schubert-Kabban, James A. Fitch, 2015, 2015 18th International Conference on Information Fusion (Fusion).

A test on the L-moments of the degree distribution of a Barabási-Albert network for detecting nodal and edge degradation

Richard F. Deckro, Fairul Mohd-Zaid, Christine M. Schubert-Kabban, 2018, J. Complex Networks.

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks

Brett J. Borghetti, Christine M. Schubert-Kabban, Alexander Kamrud, 2021, Sensors.

Human performance evaluation of user interfaces for spatially-constrained text portrayal and access

Michael E. Miller, Eric E. Geiselman, Christine M. Schubert-Kabban, 2021, Displays.

The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models

Brett J. Borghetti, Christine M. Schubert-Kabban, Alexander Kamrud, 2021, Sensors.

Constructing Prediction Intervals with Neural Networks: An Empirical Evaluation of Bootstrapping and Conformal Inference Methods

Christine M. Schubert-Kabban, Fairul Mohd-Zaid, Chancellor Johnstone, 2022, ArXiv.

investr: An R Package for Inverse Estimation

Brandon M. Greenwell, Christine M. Schubert Kabban, Christine M. Schubert-Kabban, 2014, R J..

Effect of visual field asymmetries on performance while utilizing aircraft attitude symbology

Christine M. Schubert-Kabban, Brent T. Langhals, J. Jackson, 2023, Displays.

Extending critical infrastructure element longevity using constellation-based ID verification

Michael A. Temple, Christine M. Schubert Kabban, Christine M. Schubert-Kabban, 2021, Comput. Secur..

An exploratory study of hours of service and its safety impact on motorists

William A. Cunningham, Christine M. Schubert-Kabban, Jason R. Anderson, 2017 .