As the world races to build artificial superintelligence, one maverick bioengineer is testing how much unprogrammed intelligence may already be lurking in our simplest algorithms to determine whether ...

Abstract: Feature selection for high-risk disease diagnosis is critical for accurate risk assessment, yet existing methods fail to incorporate medical domain knowledge, potentially leading to ...

Sperm preparation is a critical step in assisted reproduction, aiming to isolate spermatozoa with optimal characteristics and high fertilizing potential. Traditional sperm selection methods involve ...

Abstract: Ensemble feature selection combines feature subsets with diversity, potentially providing a better approximation of the optimal feature subset. While extensive research has focused on ...

This project consists of developing a software application using the Java programming language, focused on analyzing the performance of sorting algorithms. The main objective is to compare the ...

We revisit the problem of concretely efficient secure computation of sorting and selection (e.g., maximum, median, or top-k) on secret-shared data, focusing on the case of security against a single ...