Abstract: The growing reliance on Artificial Intelligence (AI) in high-stakes domains has heightened concerns over the interpretability of machine learning models. While AI systems using large models ...
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Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Data sources PubMed, Embase, Web of Science, SCOPUS, Cochrane, Global Health Index Medicus, PAHO, Global Health OVID, Africa-Wide Information, IndMed, WHO Mortality Database, Demographic and Health ...
Sparse regression is a group of machine-learning methods that tries to make accurate predictions while using only a small number of variables. One widely used example is the LASSO. These methods are ...
Abstract: To enhance the training efficiency and prediction accuracy of multistep short-term wind power prediction (WPP) and to tackle the challenge that data cleaning with only a single model fails ...
Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors ...
Designing innovative cancer therapies requires extensive characterization of the genetic, biochemical and cellular alterations causing tumor development and progression. Cancer hallmarks involve ...
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