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@maticvl
Flag of Serbia Leuven, Serbia
Member since October 6, 2015
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maticvl

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I have a very strong background in the machine learning and signal processing theory. During my PhD work in Belgium I worked on the project NeoGuard ([login to view URL]), where we developed the state of the art newborn's brain monitoring device to support diagnostics in major clinics. My expertise is: machine learning, signal processing, multi-linear (tensor) algebra, optimization, high dimensional datasets.
$40 USD/hr
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Experience

PhD student

Mar 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] .

Education

PhD

2010 - 2015 (5 years)

Master of Science, Electrical engineering, Signals and Systems, University of Belgrade

2009 - 2010 (1 year)

Diploma degree, Electrical engineering, Departement of Signals and Systems, University of Belgrade

2003 - 2007 (4 years)

Publications

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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