15 citations · 25 across the 5 of their papers we have counts for
5 papers
Explaining Deep Models through Forgettable Learning Dynamics
Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib
Even though deep neural networks have shown tremendous success in countless applications, explaining model behaviour or predictions is an open research problem. In this paper, we a…
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…
Open-Set Recognition with Gradient-Based Representations
Jinsol Lee, Ghassan AlRegib
Neural networks for image classification tasks assume that any given image during inference belongs to one of the training classes. This closed-set assumption is challenged in real…
A novel attention model for salient structure detection in seismic volumes
Muhammad Amir Shafiq, Zhiling Long, Haibin Di +1
A new approach to seismic interpretation is proposed to leverage visual perception and human visual system modeling. Specifically, a saliency detection algorithm based on a novel a…
Self-Supervised Delineation of Geological Structures using Orthogonal Latent Space Projection
Oluwaseun Joseph Aribido, Ghassan AlRegib, Yazeed Alaudah
We developed two machine learning frameworks that could assist in automated litho-stratigraphic interpretation of seismic volumes without any manual hand labeling from an experienc…