Frontiers

Interpretable machine learning models to predict survival in esophageal cancer: a study based on the SEER database and external validation in China

The final, formatted version of the article will be published soon. Objective:We developed interpretable machine learning(ML) models to predict the overall survival(OS) of esophageal cancer patients.

Which Machine Learning Models Are Most Used In Crypto Signal Generation?

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

LinkedIn will use your data to train its AI models unless you opt out

Opting out will stop LinkedIn from using data collected after the change takes effect, but any information gathered before ...
Tech Xplore

Literary character approach helps LLMs simulate more human-like personalities

After the advent of ChatGPT, the use of large language models (LLMs) has become increasingly widespread worldwide. LLMs are ...
Devdiscourse

New AI forecasting model promises greater stability for Kenya’s volatile food prices

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Convergence Bounds for Federated Learning for Linear Regression Model Tuning in Communication Systems

Abstract: Linear regression models are increasingly becoming important in communication system operational efficiency improvement with applications in prediction-based demodulation in Non Orthogonal ...