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Alvaro Velasquez

13 papers hereh-index 13413 citations50 works total

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

author position
  • first author2
  • middle author9
  • last author2

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • cs.NE3
  • cs.AI1
  • cs.DC1
  • eess.SY1
same name
  • Alvaro Velasquez — 10 papers, h 7
  • Alvaro Velasquez — 9 papers, h 5
  • Alvaro Velasquez — 7 papers, h 3
  • Alvaro Velasquez — 7 papers, h 3
  • Alvaro Velasquez — 7 papers, h 3
  • Alvaro Velasquez — 6 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
20202022
most citedProtein Folding Neural Networks Are Not Robust

12 citations · 25 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2021

Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks

Edward Verenich, Tobias Martin, Alvaro Velasquez +2

Convolutional neural networks (CNN) are now being widely used for classifying and detecting pulmonary abnormalities in chest radiographs. Two complementary generalization propertie…

cs.CV2020

Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia

Edward Verenich, Alvaro Velasquez, Nazar Khan +1

Trust in predictions made by machine learning models is increased if the model generalizes well on previously unseen samples and when inference is accompanied by cogent explanation…

cs.CV2020★ 5 cited

The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes

Rashik Shadman, M. G. Sarwar Murshed, Edward Verenich +2

The use of transfer learning with deep neural networks has increasingly become widespread for deploying well-tested computer vision systems to newer domains, especially those with…

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