Machine learning model interpretability using SHAP values: Application to a seismic facies classification task

التفاصيل البيبلوغرافية
العنوان: Machine learning model interpretability using SHAP values: Application to a seismic facies classification task
المؤلفون: Heather Bedle, Matthew J. Pranter, Kurt J. Marfurt, Deepak Devegowda, David Lubo-Robles, Vikram Jayaram
المصدر: SEG Technical Program Expanded Abstracts 2020.
بيانات النشر: Society of Exploration Geophysicists, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Seismic facies, business.industry, Artificial intelligence, Machine learning, computer.software_genre, business, computer, Geology, Interpretability, Task (project management)
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1960e91cecd67b9ed7f3a92303843cbeTest
https://doi.org/10.1190/segam2020-3428275.1Test
رقم الانضمام: edsair.doi...........1960e91cecd67b9ed7f3a92303843cbe
قاعدة البيانات: OpenAIRE