Evidential meta-model for molecular property prediction.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: The usefulness of supervised molecular property prediction (MPP) is well-recognized in many applications. However, the insufficiency and the imbalance of labeled data make the learning problem difficult. Moreover, the reliability of the predictions is also a huddle in the deployment of MPP models in safety-critical fields.

Authors

  • Kyung Pyo Ham
    Department of Artificial Intelligence, Ajou University, Suwon 16499, Republic of Korea.
  • Lee Sael
    Department of Computer Science, Stony Brook University, Stony Brook, USA.