15 citations · 17 across the 9 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 15 cited
Man-recon: manifold learning for reconstruction with deep autoencoder for smart seismic interpretation
Ahmad Mustafa, Ghassan AlRegib
Deep learning can extract rich data representations if provided sufficient quantities of labeled training data. For many tasks however, annotating data has significant costs in ter…
cs.LG2022★ 2 cited
Explainable Machine Learning for Hydrocarbon Prospect Risking
Ahmad Mustafa, Ghassan AlRegib
Hydrocarbon prospect risking is a critical application in geophysics predicting well outcomes from a variety of data including geological, geophysical, and other information modali…
eess.IV2022
Patient Aware Active Learning for Fine-Grained OCT Classification
Yash-yee Logan, Ryan Benkert, Ahmad Mustafa +2
This paper considers making active learning more sensible from a medical perspective. In practice, a disease manifests itself in different forms across patient cohorts. Existing fr…