The machine learning model, built using logistic regression, marked a substantial improvement, with 87.35% overall accuracy.

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University of California, Irvine, and an associate member of the Institute of Polar ...

The core premise of the study lies in addressing the persistent limitations of traditional tsunami prediction systems. These ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

Using attention-based multi-instance learning to aggregate tile embeddings to train an MLP model was optimal for the UNI and Prov-GigaPath models (mean AUROCs, 0.913 and 0.908, respectively). The ...