Dr. Christine M. Schubert Kabban Profile

Dr. Christine M. Schubert Kabban

Professor at Air Force Institute of Technology

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Author

Publications (21)

Proceedings Article | 25 April 2023 Presentation + Paper

Simple and multiple linear regression for probability of detection

Christine Knott, Christine Schubert Kabban, John Aldrin

Proceedings Volume 12491, 1249103 (2023) https://doi.org/10.1117/12.2660140

KEYWORDS: Data modeling, Statistical modeling, Statistical analysis, Linear regression, Inspection, Modeling, Covariance, Air force, Metals

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Proceedings Article | 14 May 2019 Presentation + Paper

Sequence theory for classification in multi-label ATR classification tasks

Christine Schubert Kabban, Mark Oxley

Proceedings Volume 11018, 110180H (2019) https://doi.org/10.1117/12.2520394

KEYWORDS: Classification systems, Automatic target recognition, Information science, Defense and security, Sensors, Mathematics, Data processing, System identification, Mathematical modeling, Information fusion

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Proceedings Article | 7 May 2019 Presentation + Paper

Sequential and parallel fusion of detection and classification systems

Mark Oxley, Christine Schubert-Kabban

Proceedings Volume 11018, 110180G (2019) https://doi.org/10.1117/12.2518787

KEYWORDS: Sodium, Classification systems, Tantalum, Sensors, Receivers, Automatic target recognition, Defense technologies, Throat, Probability theory, Mathematics

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Proceedings Article | 7 June 2018 Presentation + Paper

Detection system fusion based on the predictive value curve and its variations

Mark Oxley, Christine Schubert Kabban

Proceedings Volume 10646, 106460G (2018) https://doi.org/10.1117/12.2309742

KEYWORDS: Probability theory, Mathematics, Detection theory

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Proceedings Article | 9 May 2018 Paper

Improving ATR system performance through sequences of classification tasks

Christine Schubert Kabban, Mark Oxley

Proceedings Volume 10646, 106460H (2018) https://doi.org/10.1117/12.2304925

KEYWORDS: Classification systems, Automatic target recognition, Sensors, Information science, Defense and security, Statistical analysis, Mathematics, Target recognition, Information fusion, Associative arrays

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Proceedings Article | 2 May 2017 Presentation + Paper

Fusion within a classification system family

Mark Oxley, Christine Schubert Kabban

Proceedings Volume 10200, 102000H (2017) https://doi.org/10.1117/12.2265966

KEYWORDS: Sensors, Solids, Mathematics, Error analysis, Probability theory, Binary data, Dielectrophoresis, Defense and security

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Proceedings Article | 2 May 2017 Paper

Event induced bias in label fusion

Christine Schubert Kabban, Alexander Venzin, Mark Oxley

Proceedings Volume 10200, 102000G (2017) https://doi.org/10.1117/12.2264632

KEYWORDS: Classification systems, Probability theory, Field emission displays, Fourier transforms, Target detection, Computing systems, Environmental sensing, Data processing, Barium, Information science

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Proceedings Article | 17 May 2016 Paper

Multi-performance fusion of classification systems

Mark Oxley, James Fitch, Christine Schubert Kabban, Steven Thorsen

Proceedings Volume 9842, 98420G (2016) https://doi.org/10.1117/12.2225573

KEYWORDS: Signal processing, Classification systems, Yield improvement, Receivers, Mathematics, Sensors, Magnesium, Matrices, Projection systems, Defense and security

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Proceedings Article | 21 May 2015 Paper

Optimal fusion rules for multi-label fusion of independent classification system families

James Fitch, Mark Oxley, Christine Schubert Kabban

Proceedings Volume 9474, 94740T (2015) https://doi.org/10.1117/12.2178883

KEYWORDS: Classification systems, Sensors, Magnesium, Matrices, Receivers, Computing systems, Error analysis, Nomenclature, Mathematics, Defense and security

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Proceedings Article | 18 May 2012 Paper

Feature fusion of detection systems via their ROC functions

Mark Oxley, James Fitch, Christine Schubert Kabban

Proceedings Volume 8392, 839213 (2012) https://doi.org/10.1117/12.920353

KEYWORDS: Probability theory, Berkelium, Receivers, Classification systems, Sensors, Target detection, Roentgenium, Mathematics, Error analysis, Radon

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Proceedings Article | 18 May 2012 Paper

Label fusion of classification systems via their ROC functions

James Fitch, Mark Oxley, Christine Schubert Kabban

Proceedings Volume 8392, 839214 (2012) https://doi.org/10.1117/12.920352

KEYWORDS: Magnesium, Binary data, Projection systems, Receivers, Sensors, Classification systems, Error analysis, Information fusion, Associative arrays, Radon

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Proceedings Article | 9 February 2012 Paper

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

David Wooddell, Christine Schubert-Kabban, Raymond Hill

Proceedings Volume 8221, 822114 (2012) https://doi.org/10.1117/12.914645

KEYWORDS: Laser damage threshold, Eye, Eye models, Retina, Data modeling, Directed energy weapons, Thermal modeling, Error analysis, Biological research, Animal model studies

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Proceedings Article | 5 May 2011 Paper

Sequential fusion

Mark Oxley, Kathleen Daly, Christine Schubert-Kabban, David Zitelli

Proceedings Volume 8050, 80500V (2011) https://doi.org/10.1117/12.884702

KEYWORDS: Fourier transforms, Classification systems, Probability theory, Radon, Automatic target recognition, Matrices, Lead, Niobium, Receivers, Throat

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Proceedings Article | 28 April 2010 Paper

Confidence of a ROC manifold

Mark Oxley, Christine Schubert, Steven Thorsen

Proceedings Volume 7697, 76970T (2010) https://doi.org/10.1117/12.850892

KEYWORDS: Classification systems, Radon, Probability theory, Fourier transforms, Automatic target recognition, Error analysis, Receivers, Matrices, Visualization, Stochastic processes

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Proceedings Article | 11 May 2009 Paper

The effects of correlation on the performance of ATR systems

Christine Schubert, Steven Thorsen, Mark Oxley

Proceedings Volume 7336, 73360U (2009) https://doi.org/10.1117/12.819281

KEYWORDS: Automatic target recognition, Computing systems, Signal processing, Sensor fusion, Target recognition, Current controlled current source, Receivers, Sensors

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Proceedings Article | 11 May 2009 Paper

Bounds on the ROC curves from fused correlated ATR systems

Christine Schubert, Mark Oxley, Kenneth Bauer

Proceedings Volume 7336, 73360K (2009) https://doi.org/10.1117/12.819282

KEYWORDS: Signal processing, Sensor fusion, Target recognition, Current controlled current source, Receivers

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Proceedings Article | 11 May 2009 Paper

ROC manifolds of multiple fused independent ATR systems

Mark Oxley, Christine Schubert, Steven Thorsen

Proceedings Volume 7336, 73360L (2009) https://doi.org/10.1117/12.819283

KEYWORDS: Classification systems, Probability theory, Radon, Automatic target recognition, Receivers, Sensors, Matrices, Mathematics, Medicine, Error analysis

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Proceedings Article | 7 May 2007 Paper

ROC curve formulas for fused correlated classification systems

Mark Oxley, Steven Thorsen, Christine Schubert

Proceedings Volume 6567, 65670W (2007) https://doi.org/10.1117/12.718777

KEYWORDS: Classification systems, Probability theory, Automatic target recognition, Sensors, Receivers, Binary data, Mathematics, Analytical research, Error analysis, Dielectrophoresis

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Proceedings Article | 17 May 2006 Paper

Performance measures for ATR systems with multiple classifiers and multiple labels

Christine Schubert, Steven Thorsen, Mark Oxley, Kenneth Bauer

Proceedings Volume 6235, 62350V (2006) https://doi.org/10.1117/12.668464

KEYWORDS: Classification systems, Probability theory, Lithium, Automatic target recognition, Sensors, Receivers, Mathematics, Biomedical engineering, Biomedical optics, Medicine

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Proceedings Article | 25 May 2005 Paper

Quantifying the performance of fused correlated multiple classifiers

Christine Schubert, Mark Oxley, Kenneth Bauer

Proceedings Volume 5809, (2005) https://doi.org/10.1117/12.602956

KEYWORDS: Automatic target recognition, Signal processing, Sensor fusion, Target recognition, Receivers, Sensors

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Proceedings Article | 9 August 2004 Paper

Quantifying the correlation effects of fused classifiers

Christine Schubert, Nathan Leap, Mark Oxley, Kenneth Bauer

Proceedings Volume 5429, (2004) https://doi.org/10.1117/12.542578

KEYWORDS: Probability theory, Receivers, Sensors, Target recognition, Analytical research, Feature extraction, Mathematics, Statistical modeling, Pattern recognition, Defense and security

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Showing 5 of 21 publications

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