K. Bauer

发表

Selecting Optimal Experiments for Multiple Output

Lisa M. Belue, Multilayer Perceptrons, K. Bauer, 1997 .

Control‐variate selection criteria

K. Bauer, James R. Wilson, 1992 .

Simulation of stochastic activity networks using path control variates

Athanassios N. Avramidis, K. Bauer, James R. Wilson, 1991 .

Metamodelling techniques in multidimensional optimality analysis for linear programming

Kenneth W. Bauer, J. T Moore, K. Bauer, 1996 .

Chapter 1 FUSION OF MULTI-CLASS STEG-ANALYSIS SYSTEMS USING BAYESIAN MODEL AVERAGING

Gilbert L. Peterson, K. Bauer, B. M. Rodriguez, 2008 .

Outlier detection in hyperspectral imagery using closest distance to center with ellipsoidal multivariate trimming

K. Bauer, Ryan F Caulk, Kevin B Reyes, 2012 .

A Locally Adaptable Iterative RX Detector A Locally Adaptable Iterative RX Detector

Yuri P. Taitano, K. Bauer, Brian G. Geier, 2020 .

A Taylor series approach to the robust parameter design of computer simulations using kriging and radial basis function neural networks

Joseph P. Bellucci, K. Bauer, 2017 .

Covalidation Of Dissimilarly Structured Models

S. A. Wright, K. Bauer, 2012, Winter Simulation Conference Proceedings,.

Feature extraction and feature selection for classifying cyber traffic threats

Trevor J. Bihl, Kenneth W. Bauer, Thomas E. Dube, 2017 .

QUEST hierarchy for hyperspectral face recognition

Trevor J. Bihl, Kenneth W. Bauer, Steven K. Rogers, 2011, Defense + Commercial Sensing.

Selecting Optimal Experiments for Multiple Output Multilayer Perceptrons

Kenneth W. Bauer, Dennis W. Ruck, Lisa M. Belue, 1997, Neural Computation.

Finding Hyperspectral Anomalies Using Multivariate Outlier Detection

K.W. Bauer, T.E. Smetek, K. Bauer, 2007, 2007 IEEE Aerospace Conference.

Response surface methodology as a sensitivity analysis tool in decision analysis

Kenneth W. Bauer, Gregory S. Parnell, David A. Meyers, 1999 .

Confidence intervals for univariate discrete-event simulation output using the Kalman filter

Kenneth W. Bauer, Peter S. Maybeck, Mark A. Gallagher, 1992, WSC '92.

The effectiveness of using diversity to select multiple classifier systems with varying classification thresholds

Trevor J. Bihl, Kenneth W. Bauer, Mark A. Friend, 2018 .

Optimization of Automatic Target Recognition with a Reject Option Using Fusion and Correlated Sensor Data

Kenneth W. Bauer, Trevor I. Laine, K. Bauer, 2012 .

A mathematical framework to optimize ATR systems with non-declarations and sensor fusion

Kenneth W. Bauer, Trevor I. Laine, K. Bauer, 2008, Comput. Oper. Res..

Principal Component Reconstruction Error for Hyperspectral Anomaly Detection

Trevor J. Bihl, Kenneth W. Bauer, James A. Jablonski, 2015, IEEE Geoscience and Remote Sensing Letters.

AutoGAD: An Improved ICA-Based Hyperspectral Anomaly Detection Algorithm

Kenneth W. Bauer, Jason P. Williams, Robert J. Johnson, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Towards the mitigation of correlation effects in anomaly detection for hyperspectral imagery

Trevor J. Bihl, Kenneth W. Bauer, Jason P. Williams, 2013 .

A Locally Adaptable Iterative RX Detector

Kenneth W. Bauer, Brian A. Geier, Yuri P. Taitano, 2010, EURASIP J. Adv. Signal Process..

Mitigation of Correlation and Heterogeneity Effects in Hyperspectral Data

Trevor J. Bihl, Kenneth W. Bauer, Jason P. Williams, 2010 .

Selecting optimal experiments for feedforward multilayer perceptrons

Kenneth W. Bauer, Lisa M. Belue, K. Bauer, 1995 .

Neural network feature selection for breast cancer diagnosis

Jeffrey W. Hoffmeister, Kenneth W. Bauer, Steven K. Rogers, 1995, SPIE Defense + Commercial Sensing.

Optimization Framework for a Multiple Classifier System with Non-Registered Targets

Kenneth W. Bauer, Timothy W. Albrecht, K. Bauer, 2008 .

Response Surface Analysis Of Stochastic Network Performance

Kenneth W. Bauer, A. B. Marsh, Thomas G. Bailey, 1989, 1989 Winter Simulation Conference Proceedings.

How common random numbers affect multinomial selection

Kenneth W. Bauer, John O. Miller, K. Bauer, 1997, WSC '97.

Designing experiments for single output multilayer perceptrons

Kenneth W. Bauer, Lisa M. Belue, K. Bauer, 1999 .

Journal of Quantitative Analysis in Sports Predicting NBA Games Using Neural Networks

Kenneth W Bauer, Earl Bednar, Bernard Loeffelholz, 2011 .

Feature screening using signal-to-noise ratios

Kenneth W. Bauer, Stephen G. Alsing, Kelly A. Greene, 2000, Neurocomputing.

PCRSM: A decision support system for simulation metamodel construction

Kenneth W. Bauer, Gregory J. Meidt, K. Bauer, 1992, Simul..

Hyperspectral anomaly detection using enhanced global factors

Kenneth W. Bauer, Todd J. Paciencia, K. Bauer, 2016, SPIE Defense + Security.

Malware target recognition via static heuristics

Gilbert L. Peterson, Kenneth W. Bauer, Steven K. Rogers, 2012, Comput. Secur..

An Empirical Examination of Multiple Objective Risk Attitudes

Kenneth W. Bauer, Mark E. Oxley, William K. Klimack, 2015, Decis. Anal..

A confidence paradigm for classification systems with out-of-library considerations

Kenneth W. Bauer, Nathan J. Leap, K. Bauer, 2012, Intell. Decis. Technol..

Mathematical description of a discrete event simulation (DEVS) using factor analytic method

Kenneth W. Bauer, John O. Miller, June D. Rodriguez, 2012, J. Oper. Res. Soc..

Improved N-dimensional data visualization from hyper-radial values

Trevor J. Bihl, Kenneth W. Bauer, Trevor Bihl, 2019, Journal of Algorithms & Computational Technology.

Convergence for Receiver Operating Characteristic Curves and the Performance of Neural Networks

Kenneth W. Bauer, Mark E. Oxley, Stephen G. Alsing, 2002 .

Evaluating the fusion of multiple classifiers via ROC curves

Kenneth W. Bauer, Mark E. Oxley, Justin M. Hill, 2003, SPIE Defense + Commercial Sensing.

Receiver operating characteristic curves and fusion of multiple classifiers

Kenneth W. Bauer, Mark E. Oxley, K. Bauer, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

Mahalanobis masking: a method for the sensitivity analysis of anomaly detection algorithms for hyperspectral imagery

Kenneth W. Bauer, Adam J. Messer, K. Bauer, 2018 .

Method of sensitivity analysis in anomaly detection algorithms for hyperspectral images

Kenneth W. Bauer, Adam J. Messer, K. Bauer, 2017, Defense + Security.

Clustering hyperspectral imagery for improved adaptive matched filter performance

Kenneth W. Bauer, Mark A. Friend, Jason P. Williams, 2013 .

Improved Hyperspectral Image Processing Algorithm Testing Using Synthetic Imagery and Factorial Designed Experiments

Kenneth W. Bauer, Joseph P. Bellucci, Timothy E. Smetek, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Remote discrimination of large-caliber gun firing signatures

Kenneth W. Bauer, Glen P. Perram, Bryan J. Steward, 2012 .

Feature Selection for RF Fingerprinting With Multiple Discriminant Analysis and Using ZigBee Device Emissions

Trevor J. Bihl, Michael A. Temple, Kenneth W. Bauer, 2016, IEEE Transactions on Information Forensics and Security.

A risk-based comparison of classification systems

Kenneth W. Bauer, Steven N. Thorsen, Mark E. Oxley, 2012, Defense + Commercial Sensing.

Integrated feature architecture selection

Kenneth W. Bauer, Steven K. Rogers, Jean M. Steppe, 1996, IEEE Trans. Neural Networks.

Determining input features for multilayer perceptrons

Kenneth W. Bauer, Lisa M. Belue, K. Bauer, 1995, Neurocomputing.

Cyber anomaly detection: Using tabulated vectors and embedded analytics for efficient data mining

Trevor J. Bihl, Bradley C. Boehmke, Cade M. Saie, 2018, Journal of Algorithms & Computational Technology.

Fusion of Steganalysis Systems Using Bayesian Model Averaging

Gilbert L. Peterson, Kenneth W. Bauer, Benjamin M. Rodriguez, 2008, IFIP Int. Conf. Digital Forensics.

Topological Data Analysis for Enhancing Embedded Analytics for Enterprise Cyber Log Analysis and Forensics

Trevor J. Bihl, Kenneth W. Bauer, Bradley C. Boehmke, 2020, HICSS.

Improved Target Identification of Correlated Input Data Using Recurrent Neural Networks and Feature Selection

Kenneth W. Bauer, Trevor I. Laine, K. Bauer, 2003 .

Vibrometry-based vehicle identification framework using nonlinear autoregressive neural networks and decision fusion

Trevor J. Bihl, Kenneth W. Bauer, Marc R. Ward, 2014, NAECON 2014 - IEEE National Aerospace and Electronics Conference.

Sensitivity analysis of a large-scale transportation simulation using design of experiments and factor analysis

Kenneth W. Bauer, Glenn G. Rousseau, K. Bauer, 1996, WSC.

Estimation procedures based on control variates with known covariance matrix

James R. Wilson, Kenneth W. Bauer, Sekhar Venkatraman, 1987, WSC '87.

Statistical Analysis of High-Level Features from State of the Union Addresses

Trevor J. Bihl, Kenneth W. Bauer, K. Bauer, 2017, Int. J. Inf. Syst. Soc. Chang..

Standardized routing variables: a new class of control variates

K. Bauer, James R. Wilson, 1993 .

Control Variate Selection for Multiresponse Simulation.

Kenneth W Bauer, K. Bauer, 1987 .

Selecting training and test images for optimized anomaly detection algorithms in hyperspectral imagery through robust parameter design

Kenneth W. Bauer, Frank M. Mindrup, Mark A. Friend, 2011, Defense + Commercial Sensing.

Malware Target Recognition of Unknown Threats

Kenneth W. Bauer, Steven K. Rogers, Michael R. Grimaila, 2013, IEEE Systems Journal.

Improved feature screening in feedforward neural networks

Kenneth W. Bauer, Jean M. Steppe, J. M. Steppe, 1996, Neurocomputing.

Automatic Target Recognition System Evaluation Using Decision Analysis Techniques

Kenneth W. Bauer, J. O. Miller, Brian Bassham, 2006 .

The life and death of ATR/sensor fusion and the hope for resurrection

Kenneth W. Bauer, Mark E. Oxley, Steven K. Rogers, 2008, SPIE Defense + Commercial Sensing.

A confidence paradigm for classification systems

Kenneth W. Bauer, Nathan J. Leap, K. Bauer, 2008, SPIE Defense + Commercial Sensing.

Feature saliency measures

Kenneth W. Bauer, J. M. Steppe, K. Bauer, 1997 .

Input Feature Selection For Automatic Target Recognition of Temporal Data

Kenneth W. Bauer, Trevor I. Laine, K. Bauer, 2005 .