Manuel Serna-Aguilera

Researcher

University of Arkansas at Fayetteville

unknown

1 h-index 6 pubs 12 cited

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Biography and Research Information

OverviewAI-generated summary

Manuel Serna-Aguilera's research focuses on the application of deep learning techniques to video analysis for the detection of neurodevelopmental conditions, particularly autism spectrum disorder. His work involves developing novel datasets and algorithms to improve classification accuracy. He has published research on video-based autism detection using deep learning, and on creating datasets that leverage specific behaviors for neurodivergent classification. Serna-Aguilera has also explored continual learning approaches for vision-brain understanding and investigated neural cell video synthesis utilizing optical-flow diffusion. His scholarly output includes six publications with 12 citations and an h-index of 1. He has collaborated with Xuan-Bac Nguyen, Han-Seok Seo, Khoa Luu, and Asmita Singh on multiple publications.

Metrics

  • h-index: 1
  • Publications: 6
  • Citations: 12

Selected Publications

  • COBRA: A Continual Learning Approach to Vision-Brain Understanding (2026) DOI
  • Video-Based Autism Detection with Deep Learning (2024) DOI

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