Nicole Mitchell
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Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory
Machine Learning-Based Prediction of Sites of Metabolism in Drugs: Exploring Feature Extraction Methods on Molecular Graphs
Applying Graph Convolutional Neural Networks for Drug Metabolism Prediction
Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteins
Road Identification in Satellite Images Using Image Segmentation Approaches
Evaluating DINC 2.0: An Improved Version of an Incremental Docking Protocol for Large Ligands
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