Jonathan Raad

  • Assistant Researcher

Research Interest

  • Transformers networks
  • Large language models
  • Multimodal learning

Coadvisor

Latest Publicactions

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure
  • L. A. Bugnon
  • L. Di Persia
  • M. Gerard
  • J. Raad
  • S. Prochetto
  • E. Fenoy
  • U. Chorostecki
  • F. Ariel
  • G. Stegmayer
  • D. H. Milone

Briefings in Bioinformatics - 2024

Transfer learning: The key to functionally annotate the protein universe
  • L. A. Bugnon
  • E. Fenoy
  • A. Edera
  • J. Raad
  • G. Stegmayer
  • D. H. Milone

Patterns - 2023

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches
  • L. A. Bugnon
  • A. Edera
  • S. Prochetto
  • M. Gerard
  • J. Raad
  • E. Fenoy
  • M. Rubiolo
  • U. Chorostecki
  • G. Gabaldon
  • F. Ariel
  • L. Di Persia
  • D. H. Milone
  • G. Stegmayer

Briefing in Bioinformatics - 2022

miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs
  • J. Raad
  • L. A. Bugnon
  • D. H. Milone
  • G. Stegmayer

Bioinformatics - 2021

Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19
  • L. A. Bugnon
  • J. Raad
  • G. Merino
  • C. Yones
  • F. Ariel
  • D. H. Milone
  • G. Stegmayer

Machine Learning with Applications - 2021

More Publications