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researcher

Slobodan Simic

2 papers hereh-index 2167 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • q-bio.NC1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedEEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

136 citations · 216 across the 2 of their papers we have counts for

collaborators

2 papers

q-bio.NC2018★ 80 cited

Nonlinear analysis of EEG complexity in episode and remission phase of recurrent depression

Čukić Milena, Stokić Miodrag, Radenković Slavoljub +3

Biomarkers of Major Depressive Disorder(MDD), its phases and forms have long been sought. Research indicates that the complexity measures of the cortical electrical activity (EEG)…

stat.ML2018★ 136 cited

EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

Milena Cukic, David Pokrajac, Miodrag Stokic +3

Reliable diagnosis of depressive disorder is essential for both optimal treatment and prevention of fatal outcomes. In this study, we aimed to elucidate the effectiveness of two no…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.