Virginia R. de - Concepedia

Author

Virginia R. de

University of California San Diego ORCID

Also Known As

De Sa, Virginia, Ravishankar, Srinivas, Sa, Virginia de, V. R. de Sa, V. de Sa, Virginia De Sa, Virginia R de Sa, Virginia R. De Sa, Virginia R. de, Virginia R. de Sa

127

Publications

3.1K

Citations

H-Index

104

Concepts

All Affiliations

University of California San Diego University of Pittsburgh Northeastern University University of Rochester University of British Columbia

About

Virginia R. de is an author at University of California San Diego specializing in social sciences, cognitive science, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	439
2	Health Sciences	5	5	247
3	Language Studies	4	4	1.3K
4	Medicine	4	4	163
5	Management	1	1	75

Virginia R. de

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
On the nature and scope of featural representations of word meaning. Ken McRae, Virginia R. de, Mark S. Seidenberg Journal of Experimental Psychology General NeuropsychologyNeurolinguisticsSemantic ProcessingFeatural RepresentationsPsycholinguistics	1997	592
On the nature and scope of featural representations of word meaning. Ken McRae, Virginia R. de, Mark S. Seidenberg Journal of Experimental Psychology General Philosophy Of LanguageCognitive ScienceSyntaxLinguistic SemanticsFeatural Representations	1997	564
Learning Classification with Unlabeled Data Virginia R. de	1993	204
Further evidence for feature correlations in semantic memory. Ken McRae, George S. Cree, Robyn Westmacott, Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale NeurolinguisticsSemantic ProcessingCognitionPsycholinguisticsSemantics	1999	106
Category Learning Through Multimodality Sensing Virginia R. de, Dana H. Ballard Neural Computation	1998	105
Predicting Reaching Targets from Human EEG Paul S. Hammon, Scott Makeig, Howard Poizner, IEEE Signal Processing Magazine Motor ControlSocial SciencesSuccessful DecodingKinesiologyCognitive Electrophysiology	2008	104
Explaining brightness illusions using spatial filtering and local response normalization Alan Robinson, Paul S. Hammon, Virginia R. de Vision Research Early VisionCognitive ScienceMachine VisionImage AnalysisEngineering	2007	102
Using single-trial EEG to predict and analyze subsequent memory Eunho Noh, Grit Herzmann, Tim Curran, NeuroImage Cognitive ScienceSingle-trial EegEeg Signal ProcessingMemoryCognitive Electrophysiology	2013	90
Multi-view kernel construction Virginia R. de, Patrick W. Gallagher, Joshua M. Lewis, Machine Learning EngineeringMachine LearningSynthetic Fmri DataUnsupervised Machine LearningImage Analysis	2009	85
Preprocessing and Meta-Classification for Brain-Computer Interfaces Paul S. Hammon, Virginia R. de IEEE Transactions on Biomedical Engineering Artificial IntelligenceEngineeringMachine LearningBrain State ClassificationBrain State	2007	80

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