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Found 4 papers, 2 papers with code
A Framework for Evaluating Predictive Models Using Synthetic Image Covariates and Longitudinal Data
This confirms the effectiveness of our framework in generating synthetic data with controlled levels of association, providing a valuable tool for healthcare research.
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Activity and property prediction models are the central workhorses in drug discovery and materials sciences, but currently they have to be trained or fine-tuned for new tasks.
Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks
Due to the current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, there is an urgent need for novel therapies and drugs.
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features
Emotional aspects play an important part in our interaction with music.
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