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Morteza Mousa Pasandi

2 papers hereh-index 341 citations6 works total

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

author position
  • first author2

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

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedModeling of Pruning Techniques for Deep Neural Networks Simplification

16 citations · 16 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2020

Convolutional Neural Network Pruning Using Filter Attenuation

Morteza Mousa-Pasandi, Mohsen Hajabdollahi, Nader Karimi +2

Filters are the essential elements in convolutional neural networks (CNNs). Filters are corresponded to the feature maps and form the main part of the computational and memory requ…

cs.CV2020★ 16 cited

Modeling of Pruning Techniques for Deep Neural Networks Simplification

Morteza Mousa Pasandi, Mohsen Hajabdollahi, Nader Karimi +1

Convolutional Neural Networks (CNNs) suffer from different issues, such as computational complexity and the number of parameters. In recent years pruning techniques are employed to…

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