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Seyedsaman Emami

Universidad Autónoma de Madrid

5 papers hereh-index 5108 citations12 works total

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

author position
  • first author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV1
affiliations
  • Universidad Autónoma de Madrid
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedSequential Training of Neural Networks with Gradient Boosting

33 citations · 86 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

cs.CV2023★ 17 cited

A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks

Seyedsaman Emami, Gonzalo Martínez-Muñoz

Deep learning has revolutionized the computer vision and image classification domains. In this context Convolutional Neural Networks (CNNs) based architectures are the most widely…

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