A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Researchers built the first public RISC-V dataset combining hardware performance counters with instruction traces and showed ...

Amin's research applies AI and machine learning especially multimodal, text, unsupervised, and graph-based methods to turn complex social-media, financial, organizational, e-commerce, database, and ...