Machine learning solutions for predicting protein–protein interactions,Wiley Interdisciplinary Reviews: Computational Molecular Science - X-MOL
Chemical complexity challenge: Is multi-instance machine learning a solution ?
Machine learning used to predict synthesis of complex novel materials - International Institute for Nanotechnology
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MIT Researchers Have Developed a Unified Framework that Uses Machine Learning to Simultaneously Predict Molecular Properties and Generate New Molecules Using Only a Small Amount of Data for Training - MarkTechPost
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Chemical complexity challenge: Is multi-instance machine learning a solution ?
Computational Chemistry as Applied in Environmental Research: Opportunities and Challenges
Andy Palmer on LinkedIn: Chemical complexity challenge: Is multi‐instance machine learning a…
Chemical hardness-driven interpretable machine learning approach for rapid search of photocatalysts
Frontiers Unifying complexity science and machine learning
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Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework