Artificial Intelligence and Machine Learning have both been hot button topics for a few years now, but the two terms are ...

🏆 A ranked list of awesome atomistic machine learning (AML) projects ... All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from ...

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We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

AI’s promise in the crypto market is significant but should be viewed with tempered expectations. It excels at processing vast quantities of data, identifying patterns, and executing trades faster ...

Three typical machine learning models, including random forest forest by penalizing attributes (FPA) and rotation forest were merged by random subspace algorithm ... susceptibility maps were generated ...

In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA ... “Transfer learning based multi-layer extreme ...

Abstract: Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on One-Class ...

Machine learning algorithms can be applied to recorded S-parameters in order to classify the stage of Alzheimer's disease in the brain. •The research presented in this work targets research in ...