IEEE

Predicting Social Media Virality Using Stacking Ensemble with Random Forest, XGBoost and Logistic Regression

Abstract: The research investigates predicting the virality of content on social media platforms using a stacking ensemble model with Random Forest, XGBoost, and Logistic Regression. Social media ...
GitHub

Global Factor, Stock, and Firm data

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Wall Street Journal

Locals Are Using AI to Fight Data Centers Being Built in Their Backyards

CINCINNATI—Late at night, or when her 18-month-old daughter is napping, Jessica Sharp logs onto Chat GPT and asks it to help her in her fight to stop a data center from being built just steps away ...
IEEE

Adaptive Ridge Regression-Based Data-Driven Current Prediction Modeling for PMSM Drives With High Robustness Against Data Noises

Abstract: This article presents an adaptive ridge regression (ARR)-based data-driven current prediction model aimed at enhancing robustness in permanent magnet synchronous motor (PMSM) drives.