This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

High-dimensional classification addresses situations in which the number of variables far exceeds the number of observations. Traditional methods often falter in these settings due to overfitting, ...

Statistical analyses are a crucial component of the biomedical research process and are necessary to draw inferences from biomedical research data. The application of sound statistical methodology is ...

Abstract: We present a method that uses Mahalanobis distance to study some decision and classification problems. Four examples are used to show the diversity of possible applications of our method.

ABSTRACT: The objective of this paper is to compare the average annual and total cost of obtaining a university degree in three different universities: an Open and Distance Learning university serving ...

In this tutorial we'll bring the TensorFlow 2 Quickstart to Valohai, taking advantage of Valohai versioned experiments, data inputs, outputs and exporting metadata to easily track & compare your ...

Abstract: Text classification is the task of assigning predefined categories to text documents. It is a common machine learning problem. Statistical text classification that makes use of machine ...