Virginia de Sa
Virginia de Sa
Professor of Cognitive Science, Associate Director of the Halicioglu Data Science Institute, UCSD
Verified email at - Homepage
Cited by
Cited by
On the nature and scope of featural representations of word meaning.
K McRae, VR De Sa, MS Seidenberg
Journal of Experimental Psychology: General 126 (2), 99, 1997
Learning classification with unlabeled data
VR de Sa
Advances in neural information processing systems, 112-119, 1994
Spectral clustering with two views
VR De Sa
ICML workshop on learning with multiple views, 20-27, 2005
Further evidence for feature correlations in semantic memory.
K McRae, GS Cree, R Westmacott, VRD Sa
Canadian Journal of Experimental Psychology/Revue canadienne de psychologie …, 1999
Predicting reaching targets from human EEG
PS Hammon, S Makeig, H Poizner, E Todorov, VR De Sa
IEEE Signal Processing Magazine 25 (1), 69-77, 2007
Benefitting from the variables that variable selection discards
R Caruana, VR de Sa
Journal of Machine Learning Research 3, 1245-1264, 2003
Category learning through multimodality sensing
VR De Sa, DH Ballard
Neural Computation 10 (5), 1097-1117, 1998
Preprocessing and meta-classification for brain-computer interfaces
PS Hammon, VR de Sa
IEEE Transactions on Biomedical Engineering 54 (3), 518-525, 2007
Explaining brightness illusions using spatial filtering and local response normalization
AE Robinson, PS Hammon, VR de Sa
Vision research 47 (12), 1631-1644, 2007
Using single-trial EEG to predict and analyze subsequent memory
E Noh, G Herzmann, T Curran, VR de Sa
NeuroImage 84, 712-723, 2014
Multi-view kernel construction
VR De Sa, PW Gallagher, JM Lewis, VL Malave
Machine learning 79 (1-2), 47-71, 2010
In the footsteps of biological motion and multisensory perception: judgments of audiovisual temporal relations are enhanced for upright walkers
AP Saygin, J Driver, VR de Sa
Psychological Science 19 (5), 469-475, 2008
Human cluster evaluation and formal quality measures: A comparative study
J Lewis, M Ackerman, V de Sa
Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012
Single-trial classification of gait and point movement preparation from human EEG
P Velu, VR de Sa
Frontiers in neuroscience 7, 84, 2013
Homeostatic synaptic scaling in self-organizing maps
TJ Sullivan, VR De Sa
Neural Networks 19 (6-7), 734-743, 2006
Unsupervised classification learning from cross-modal environmental structure
V De Sa
A behavioral investigation of dimensionality reduction
J Lewis, L Van der Maaten, V de Sa
Proceedings of the Annual Meeting of the Cognitive Science Society 34 (34), 2012
Promoting poor features to supervisors: Some inputs work better as outputs
R Caruana, VR De Sa
Advances in Neural Information Processing Systems, 389-395, 1997
Deep recurrent convolutional neural networks for classifying P300 BCI signals
RK Maddula, J Stivers, M Mousavi, S Ravindran, VR de Sa
Proceedings of the 7th Graz Brain-Computer Interface Conference, DOI: 10 …, 2017
Improving motor imagery BCI with user response to feedback
M Mousavi, AS Koerner, Q Zhang, E Noh, VR de Sa
Brain-Computer Interfaces 4 (1-2), 74-86, 2017
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