Robert J. Marks - Concepedia

Author

Robert J. Marks

Also Known As

Marks II, Robert J., Marks II,Robert J, Marks, Robert, Marks, Robert J., R J. Marks II, R MARKS, R Marks, R. J. Marks, R. J. Marks II, R. Jackson Marks

474

Publications

9.9K

Citations

H-Index

258

Concepts

All Affiliations

University of Washington Baylor University Jet Propulsion Laboratory Boeing (United States)

About

Robert J. Marks is an author at University of Washington specializing in engineering, computer science, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	41	118	6.6K
2	Health Sciences	10	10	779
3	Business	3	3	81
4	Education	3	3	200
5	Humanities	1	1	11

Robert J. Marks

142

Publications

7.4K

Citations

H-Index

Page 1

	Year	Citations
Electric load forecasting using an artificial neural network Dong-Chul Park, M.A. El-Sharkawi, Robert J. Marks, IEEE Transactions on Power Systems Intelligent ForecastingForecasting MethodologyElectrical EngineeringForecasting TechniqueEngineering	1991	1.4K
The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals Yunxin Zhao, Les Atlas, Robert J. Marks IEEE Transactions on Acoustics Speech and Signal Processing Spectral TheoryEngineeringSpectrum EstimationFunctional AnalysisBiomedical Signal Analysis	1990	425
Swarm intelligence for routing in communication networks I. Kassabalidis, M.A. El-Sharkawi, Robert J. Marks, Network Routing AlgorithmNetwork ScienceEngineeringFirefly AlgorithmNetworked Swarm	2002	199
Power system security assessment using neural networks: feature selection using Fisher discrimination Craig A. Jensen, M.A. El-Sharkawi, Robert J. Marks IEEE Transactions on Power Systems EngineeringMachine LearningSecurity AssessmentFeature SelectionTraining Features	2001	172
Power System Security Assessment Using Neural Networks: Feature Selection Using Fisher Discrimination Craig A. Jensen, M.A. El-Sharkawi, Robert J. Marks IEEE Power Engineering Review EngineeringMachine LearningSecurity AssessmentFeature SelectionTraining Features	2001	160
Query-based learning applied to partially trained multilayer perceptrons Jenq–Neng Hwang, J.J. Choi, Sung‐Kwun Oh, IEEE Transactions on Neural Networks Artificial IntelligenceEngineeringMachine LearningSequential LearningNeural Network	1991	152
Minimum power broadcast trees for wireless networks: integer programming formulations Arindam Das, Robert J. Marks, M.A. El-Sharkawi, Topology ControlNetwork ScienceWireless Multicast/broadcast SessionsEngineeringNetwork Analysis	2003	141
An adaptively trained neural network Dong-Chul Park, M.A. El-Sharkawi, Robert J. Marks IEEE Transactions on Neural Networks	1991	121
Inversion of snow parameters from passive microwave remote sensing measurements by a neural network trained with a multiple scattering model Leung Tsang, Z. Chen, Sung‐Kwun Oh, IEEE Transactions on Geoscience and Remote Sensing EngineeringNeural NetworkEarth ScienceSnow TemperatureData Science	1992	117
A performance comparison of trained multilayer perceptrons and trained classification trees Les Atlas, Ronald A. Cole, Yeshwant K. Muthusamy, Proceedings of the IEEE Speech SciencesMachine LearningEngineeringMultilayer PerceptronsMultilayer Perceptron	1990	112

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