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researcher

Sandra Amador

2 papers hereh-index 459 citations11 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

4 citations · 4 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2026★ 4 cited

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

Rafael Muñoz-Terol, Jesús Peral, Sandra Amador +1

Autism spectrum disorder (ASD) is a developmental disability characterized by challenges in social interaction and communication. As the causes of ASD remain unclear, identifying r…

cs.CV2024

Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

Oresti Banos, Zhoe Comas-González, Javier Medina +5

Background: Human Emotion Recognition (HER) has been a popular field of study in the past years. Despite the great progresses made so far, relatively little attention has been paid…

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