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M. Hussain

8 papers hereh-index 273.2k citations90 works total

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

author position
  • middle author6

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG3
  • eess.IV1
same name
  • M. Hussain — 13 papers, h 13
  • M. Hussain — 9 papers, h 6
  • M. Hussain — 7 papers
  • M. Hussain — 6 papers, h 5
  • M. Hussain — 4 papers, h 42
  • M. Hussain — 4 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedAutomatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models

11 citations · 18 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2019★ 11 cited

Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models

Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh +1

Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) sign…

cs.LG2019

An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks

Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh

Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discrimina…

cs.LG2019

Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents

Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi +1

In this paper, we have proposed a brain signal classification method, which uses eigenvalues of the covariance matrix as features to classify images (topomaps) created from the bra…

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