IEEE

An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor

Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...
Frontiers

Clinical Problem Selection for Machine Learning-Based Clinical Decision Support in the Intensive Care Unit: Complexity, Actionability, and the Way Forward

1 Department of Pediatrics, Division of Cardiology, University of Michigan Medical School, Ann Arbor, United States 2 Department of Computational Medicine and Bioinformatics, University of Michigan ...
IEEE

A Data-Driven Approach to Gold Price Forecasting Using Supervised Learning: An Empirical Study with Decision Tree and Random Forest

Abstract: Predicting commodity prices like gold forms a central part of economic decision-making, investment plans, and economic policy formulation. This paper discusses the application and comparison ...
Devdiscourse

Advanced AI model pushes aviation toward data-driven decarbonization

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...