Ensemble learning

Ensemble learning: A survey

A comparative analysis of gradient boosting algorithms

Ensemble deep learning: A review

A survey on ensemble learning

Domain Generalization: A Survey

Privacy preserving vertical federated learning for tree-based models

Machine learning descriptors in materials chemistry used in multiple experimentally validated studies: Oliynyk elemental property dataset

Benchmarking Large Language Models for Polymer Property Predictions

Feature Engineering Enhanced Machine Learning Prediction of Pore Properties in Lignin-Derived Nanoporous Carbon for High-Performance Supercapacitor Applications

Interpretable machine learning for thermoelectric materials design with Kolmogorov–Arnold networks

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets