Molecular property prediction using pretrained-BERT and Bayesian active learning : a data-efficient approach to drug design

Projects

Projects per year 2019 2019 2021 2024

• 2 Finished

Projects per year

Search results

• Finished

  MSCA AIDD /Kaski S.: Advanced machine learning for Innovative Drug Discovery

  Kaski, S. (Principal investigator), Masood, A. (Project Member) & Nahal, Y. (Project Member)

  01/01/2021 → 31/12/2024

  Project: EU H2020 MC

  • Active Learning 100%
  • Bidirectional Encoder Representations From Transformers 83%
  • Training Data 50%
  • Human-in-the-Loop 44%
  • Predictive Performance 36%

• -: Finnish Center for Artificial Intelligence

  Kaski, S. (Principal investigator)

  01/01/2019 → 31/12/2022

  Project: Academy of Finland: Other research funding

  • Reinforcement Learning 100%
  • Learning System 89%
  • Machine Learning 85%
  • Bayesian 75%
  • Approximation (Algorithm) 64%