book-chapterTop 1% cited
Support vector machine
Machine Learning · 2019 · pp. 101–121
Derek Pisner✉(The University of Texas at Austin)David M. Schnyer(The University of Texas at Austin)
Functional Brain Connectivity StudiesEEG and Brain-Computer InterfacesBrain Tumor Detection and ClassificationSupport vector machineOverfittingSimplicityMachine learningArtificial intelligenceNeuroimagingContext (archaeology)Computer scienceSchizophrenia (object-oriented programming)Flexibility (engineering)
Citations
936
FWCI
116.43
field-weighted impact
References
62
Percentile
100%
vs. same field & year
Citations per year
References
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
Neuroscience & Biobehavioral Reviews · 2012 · 1,006 citations
Decoding mental states from brain activity in humans
Nature reviews. Neuroscience · 2006 · 1,890 citations
Global Epidemiology of Dementia: Alzheimer’s and Vascular Types
BioMed Research International · 2014 · 753 citations
Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
Neurobiology of Aging · 2010 · 584 citations
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults
Journal of Cognitive Neuroscience · 2007 · 2,043 citations
Libsvm : A library for support vector machines
Medical Entomology and Zoology · 2008 · 10,114 citations
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