Search Results for author:
Found 2 papers, 1 papers with code
Insights into performance evaluation of com-pound-protein interaction prediction methods
We also show that random pairing for gen-erating synthetic negative examples for training and performance evaluation results in models with better generalization performance in comparison to more sophisticated strategies used in existing studies.
D-OccNet: Detailed 3D Reconstruction Using Cross-Domain Learning
Deep learning based 3D reconstruction of single view 2D image is becoming increasingly popular due to their wide range of real-world applications, but this task is inherently challenging because of the partial observability of an object from a single perspective.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
