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Found 5 papers, 1 papers with code
A Review of Modern Approaches for Coronary Angiography Imaging Analysis
Coronary Heart Disease (CHD) is a leading cause of death in the modern world.
MLT-LE: predicting drug-target binding affinity with multi-task residual neural networks
However, these methods typically use a single-task approach for prediction, thus ignoring the additional information that can be extracted from the data and used to drive the learning process.
A biologically-inspired multi-modal evaluation of molecular generative machine learning
While generative models have recently become ubiquitous in many scientific areas, less attention has been paid to their evaluation.
Learning Invariant Representations of Molecules for Atomization Energy Prediction
The accurate prediction of molecular energetics in chemical compound space is a crucial ingredient for rational compound design.
Subject independent EEG-based BCI decoding
In the quest to make Brain Computer Interfacing (BCI) more usable, dry electrodes have emerged that get rid of the initial 30 minutes required for placing an electrode cap.
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