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Usman Mahmood
Georgia State University
Machine learningData collectionTransfer of learningPattern recognitionComputer scienceEmbeddingSchizophreniaFeature vector
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#1Usman Mahmood (GSU: Georgia State University)
#2Mahfuzur Rahman (GSU: Georgia State University)
Last. Sergey M. Plis (GSU: Georgia State University)H-Index: 2
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Differentiating multivariate dynamic signals is a difficult learning problem as the feature space may be large yet often only a few training examples are available. Traditional approaches to this problem either proceed from handcrafted features or require large datasets to combat the m >> n problem. In this paper, we show that the source of the problem---signal dynamics---can be used to our advantage and noticeably improve classification performance on a range of discrimination tasks when traini...
As a mental disorder progresses, it may affect brain structure, but brain function expressed in brain dynamics is affected much earlier. Capturing the moment when brain dynamics express the disorder is crucial for early diagnosis. The traditional approach to this problem via training classifiers either proceeds from handcrafted features or requires large datasets to combat the m>>nproblem when a high dimensional fMRI volume only has a single label that carries learning signal. Large datasets ...
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