output
20182026
most citedA unified framework for evaluating the robustness of machine-learning interpretability for prospect risking

5 citations

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cs.LG2026★ 5 cited

A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking

Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar +1

In geophysics, hydrocarbon prospect risking involves assessing the risks associated with hydrocarbon exploration by integrating data from various sources. Machine learning-based cl…