Matthew Kabrisky - Concepedia

Author

Matthew Kabrisky

U.S. Air Force Institute of Technology

Also Known As

M Kabrisky, M. KABRISKY, M. Kabrisky, Matthew K. Kabrisky, Matthew Kabrisky

Publications

Citations

H-Index

Concepts

All Affiliations

U.S. Air Force Institute of Technology Wright-Patterson Air Force Base

About

Matthew Kabrisky is an author at U.S. Air Force Institute of Technology specializing in engineering, pattern recognition, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	16	1.5K
2	Health Sciences	4	4	111
3	Social Sciences	3	3	87
4	Medicine	1	1	10
5	Anesthesia	1	1	10

Matthew Kabrisky

Publications

1.8K

Citations

H-Index

Page 1

	Year	Citations
The multilayer perceptron as an approximation to a Bayes optimal discriminant function D.W. Ruck, Steven K. Rogers, Matthew Kabrisky, IEEE Transactions on Neural Networks Artificial IntelligenceClassification MethodEngineeringMachine LearningComputational Learning Theory	1990	838
Feature Selection Using a Multilayer Perceptron Steven K. Rogers, Matthew Kabrisky	1990	226
Perceptual-based image fusion for hyperspectral data Terry A. Wilson, Steven K. Rogers, Matthew Kabrisky IEEE Transactions on Geoscience and Remote Sensing Hyperspectral ImagingImage AnalysisMachine VisionData ScienceHyperspectral Data	1997	119
Comparative analysis of backpropagation and the extended Kalman filter for training multilayer perceptrons D.W. Ruck, Steven K. Rogers, Matthew Kabrisky, IEEE Transactions on Pattern Analysis and Machine Intelligence Incremental LearningEngineeringMachine LearningMulti-sensor Information FusionMultilayer Perceptrons	1992	117
Neural networks for automatic target recognition Steven K. Rogers, John M. Colombi, Curtis E. Martin, Neural Networks Machine VisionMachine LearningEngineeringAutomatic Target RecognitionPattern Recognition	1995	116
Bayesian selection of important features for feedforward neural networks Kevin L. Priddy, Steven K. Rogers, Dennis W. Ruck, Neurocomputing Bayesian SelectionEngineeringMachine LearningComputational Learning TheoryPattern Recognition	1993	58
Spectral analysis of the electroencephalographic response to motion sickness. W Chelen, Matthew Kabrisky, Stephen Rogers PubMed BiofeedbackElectrophysiological EvaluationNeurodynamicsNeurophysiologyEeg Signal Processing	1993	54
Using neural networks to select wavelet features for breast cancer diagnosis Catherine M. Kocur, Steven K. Rogers, Lemuel R. Myers, IEEE Engineering in Medicine and Biology Magazine EngineeringMachine LearningBiometricsDiagnosisFeature Selection	1996	48
Artificial neural networks for early detection and diagnosis of cancer Steven K. Rogers, Dennis W. Ruck, Matthew Kabrisky Cancer Letters EngineeringMachine LearningMedical ImagingArtificial Neural NetworksCancer Detection	1994	30
The complex cepstrum applied to two-dimensional images James K. Lee, Matthew Kabrisky, Mark E. Oxley, Pattern Recognition Super-resolution ImagingImage FormationEngineeringPhysicsMicroscopy	1993	27

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