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Study on crowdsourcing data science project
“Maticvl did a great job, very professional, reliable and precise! Thank you!”fridaj 2 years ago
PhD studentMar 2010
I have been developing algorithms for automated diagnostics in ill newborns. There, I used machine learning and signal processing theory concepts. [login to view URL] .
PhD2010 - 2015 (5 years)
Master of Science, Electrical engineering, Signals and Systems, University of Belgrade2009 - 2010 (1 year)
Diploma degree, Electrical engineering, Departement of Signals and Systems, University of Belgrade2003 - 2007 (4 years)
Holistic approach for automated background EEG assessment in asphyxiated full-term infants.
The algorithm classifies 1 h of continuous neonatal EEG (cEEG) into a mild, moderate or severe background abnormality grade. It is based on adaptive EEG segmentation and mapping of the segments into the so-called segments' feature space. Further classification has been achieved using recently developed tensor decomposition/classification methods that reduce the size of the model and extract a significant and discriminative set of features.
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