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researcher

M. Muzammel

2 papers here

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

author position
  • first author1
  • middle author1

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

fields
  • cs.SD1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedAudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis

61 citations · 61 across the 1 of their papers we have counts for

collaborators

2 papers

cs.SD2020★ 61 cited

AudVowelConsNet: A Phoneme-Level Based Deep CNN Architecture for Clinical Depression Diagnosis

Muhammad Muzammel, Hanan Salam, Yann Hoffmann +2

Depression is a common and serious mood disorder that negatively affects the patient's capacity of functioning normally in daily tasks. Speech is proven to be a vigorous tool in de…

q-bio.NC2020

EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review

Sana Yasin, Syed Asad Hussain, Sinem Aslan +3

Mental disorders represent critical public health challenges as they are leading contributors to the global burden of disease and intensely influence social and financial welfare o…

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