TRANSFORMER-BASED ARTIFICIAL NEURAL NETWORKS FOR THE CONVERSION BETWEEN CHEMICAL NOTATIONS



Addressing Threats to Validity in Supervised Machine Learning: A Framework and Best Practices for Education Researchers

Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods.Drawing on an integrative arrethe bush balm literature review and exten

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