A new two-stage differential evolution algorithm that borrows the foraging behavior of squirrels outperforms leading ...

NRDLC, a unified framework that removes noisy labels and selects informative features simultaneously for partial multi-label ...

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first ...

Linear programming (LP) is a mathematical optimization technique used to maximize or minimize a linear objective function subject to a set of linear constraints. The Simplex Method, developed by ...

We present a new optimization-based method for aggregating preferences in settings in which each voter expresses preferences over pairs of alternatives. Our approach to identifying a consensus partial ...

A data-driven method can turn the administrative chore of matching dissertation students with the right supervisor into an educational opportunity. Ana Santos explains how it works How do you pair ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...