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Mohammadreza Iman

3 papers hereh-index 3641 citations5 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 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedA Review of Deep Transfer Learning and Recent Advancements

686 citations · 1.4k across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 686 cited

EXPANSE: A Deep Continual / Progressive Learning System for Deep Transfer Learning

Mohammadreza Iman, John A. Miller, Khaled Rasheed +2

Deep transfer learning techniques try to tackle the limitations of deep learning, the dependency on extensive training data and the training costs, by reusing obtained knowledge. H…

cs.LG2022★ 686 cited

A Review of Deep Transfer Learning and Recent Advancements

Mohammadreza Iman, Khaled Rasheed, Hamid R. Arabnia

Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two major constraints: dependency on extensive labeled data…

eess.AS2020

A Comparative Study of Machine Learning Models for Tabular Data Through Challenge of Monitoring Parkinson's Disease Progression Using Voice Recordings

Mohammadreza Iman, Amy Giuntini, Hamid Reza Arabnia +1

People with Parkinson's disease must be regularly monitored by their physician to observe how the disease is progressing and potentially adjust treatment plans to mitigate the symp…

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