Results 201 to 210 of about 159,034 (226)

Interpretable Machine Learning

2019
Brad Boehmke, Brandon Greenwell
openaire   +1 more source

Shapley variable importance cloud for interpretable machine learning

Patterns, 2022
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty   +2 more
exaly  

Discovery of Unconventional Proton‐Conducting Inorganic Solids via Defect‐Chemistry‐Trained, Interpretable Machine Learning

Advanced Energy Materials, 2023
Susumu Fujii, Junji Hyodo, Akihide Kuwabara   +2 more
exaly  

Interpretability in Machine Learning

2023
openaire   +1 more source

Model Interpretability: Advances in Interpretable Machine Learning

2021
Uday Kamath, John Liu
openaire   +1 more source

Review on Interpretable Machine Learning in Smart Grid

Energies, 2022
Chaojie Li, Renyou Xie
exaly  

Interpretable Machine Learning forFinancial Applications

2023
Boris Kovalerchuk, Evgenii Vityaev, Alexander Demin, Antoni Wilinski   +3 more
openaire   +1 more source

Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield

Agricultural and Forest Meteorology, 2023
Tongxi Hu, Gil Bohrer, Kaiguang Zhao
exaly  

Interpreting Machine Learning Models

2022
openaire   +1 more source

Language Interpretation Using Machine Learning

International Journal of Computational Intelligence Research (IJCIR), 2023
openaire   +1 more source