Field dossier · from the corpus
Interpretability
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Most cited work
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
Principal component analysis: a review and recent developments
A Unified Approach to Interpreting Model Predictions
The Mythos of Model Interpretability
A survey of methods for explaining black box models
fMRIPrep: a robust preprocessing pipeline for functional MRI
Recent work · 2024 onward
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
Advances in the Application of Machine Learning in Composite Materials
Machine learning-driven research in wood science: from prediction to understanding through the framework of Wood Informatics
Feature Engineering Enhanced Machine Learning Prediction of Pore Properties in Lignin-Derived Nanoporous Carbon for High-Performance Supercapacitor Applications
Applications of machine learning in materials science: From a methodological point of view
Machine learning–driven thermoelectric materials: Review on prediction, optimization, and discovery