Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new deep learning method that improves the classification accuracy of mixed ...

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The COVID-19 pandemic proved to be a major public health challenge that had an ...

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study ...

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...

ABSTRACT: Machine learning (ML) has revolutionized risk management by enabling organizations to make data-driven decisions with higher accuracy and speed. However, as machine learning models grow more ...