Stephen Marshall - Concepedia

Author

Stephen Marshall

Also Known As

J. A. Marshall, S. J. Higdon, Marshal Steven, Marshall Stephen, Marshall, S, Marshall, Stephen, Rudin S.D., S Marshall, S. MARSHALL, S. Marshall, Stephen D Marshall

360

Publications

8.1K

Citations

H-Index

229

Concepts

All Affiliations

University of Strathclyde Guangdong Polytechnic Normal University Northwestern Polytechnical University Tianjin University

About

Stephen Marshall is an author at University of Strathclyde specializing in engineering, image analysis, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	37	82	6.3K
2	Health Sciences	17	18	1.4K
3	Education	5	5	153
4	Medicine	4	4	151
5	Management	1	1	12

Stephen Marshall

103

Publications

Citations

H-Index

Page 1

	Year	Citations
Activation Functions: Comparison of trends in Practice and Research for Deep Learning Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, arXiv (Cornell University) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAi Foundation	2018	1.2K
Breast cancer detection using deep convolutional neural networks and support vector machines Dina A. Ragab, Maha Sharkas, Stephen Marshall, PeerJ Convolutional Neural NetworkEngineeringMachine LearningFeature ExtractionBreast Cancer Detection	2019	486
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging Jaime Zabalza, Jinchang Ren, Jiangbin Zheng, Neurocomputing Image AnalysisMachine LearningData ScienceEngineeringAutoencoders	2015	392
Biocatalytic induction of supramolecular order Andrew R. Hirst, Sangita Roy, Meenakshi Arora, Nature Chemistry Asymmetric CatalysisEngineeringBiocatalysisCatalysisSupramolecular Order	2010	359
Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing Jaime Zabalza, Jinchang Ren, Mingqiang Yang, ISPRS Journal of Photogrammetry and Remote Sensing RadarImage AnalysisImproved Feature ExtractionEngineeringSynthetic Aperture Radar	2014	239
A framework for breast cancer classification using Multi-DCNNs Dina A. Ragab, Omneya Attallah, Maha Sharkas, Computers in Biology and Medicine EngineeringMachine LearningData ScienceDeep LearningPattern Recognition	2021	189
Novel Two-Dimensional Singular Spectrum Analysis for Effective Feature Extraction and Data Classification in Hyperspectral Imaging Jaime Zabalza, Jinchang Ren, Jiangbin Zheng, IEEE Transactions on Geoscience and Remote Sensing EngineeringMultispectral ImagingFeature ExtractionImage AnalysisData Science	2015	164
Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement Yijun Yan, Jinchang Ren, Genyun Sun, Pattern Recognition Machine VisionImage AnalysisVisual AttentionEngineeringScene Interpretation	2018	151
Convergence Criteria for Genetic Algorithms David Greenhalgh, Stephen Marshall SIAM Journal on Computing Memetic AlgorithmEngineeringGenetic AlgorithmsLong TimePerformance Guarantee	2000	143
Activation functions: comparison of trends in practice and research for deep learning Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAi Foundation	2021	139

Page 1