A multicentre study of 607 Chinese psychiatric nurses used interpretable machine learning to identify perceived pressure, age ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms—addressing a ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Operators have until Nov. 3 to voluntarily explain how algorithms influence marketing, promotions, and customer outreach.

Sofia University, a WASC Senior College and University Commission (WSCUC)-accredited institution, is expanding its graduate ...