Machine learning models show promise in predicting colorectal cancer and advanced polyps, but validation gaps remain.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

The main goal of the study is to determine which algorithm, using classic machine learning and deep learning models, accurately predicts photos when given by the user. In the first part of the study, ...

Lecture recording is a common system that higher-education institutions use as a tool to deliver quality education. This study focuses on designing an automated lecture capture system that would ...

This project provides an efficient implementation of the text clustering algorithm "sequential Information Bottleneck" (sIB), introduced by Slonim, Friedman and Tishby (2002). The project is packaged ...

CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to ...