The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...

In an article for The Athletic reflecting on the England international’s exit, James Pearce reported that the player had informed Arne Slot of his decision face-to-face during the pause to the ...

Another study was done by [18], where predictive modeling of cardiovascular disease using Machine Learning Techniques. Random forest, decision tree, gradient-boosted tree, logistic regression.

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To address these challenges, we propose a novel Deep Learning-Augmented algorithm for automated sleep spindle detection in ADOC patients. This method combines Convolutional Neural Networks with ...

Who: Colin Raffel, 37, associate professor of computer science, University of Toronto, and associate research director at the Vector Institute Known for: Researching how to make machine learning ...

It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the ...