Explaining Deep Models Through Forgettable Learning Dynamics. - Ryan Benkert; Oluwaseun Joseph Aribido; Ghassan AlRegib (ICIP, 2021)

Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. - Ryan Benkert; Mohit Prabhushankar; Ghassan AlRegib (ICIP, 2022)

Patient Aware Active Learning for Fine-Grained OCT Classification. - Yash-Yee Logan; Ryan Benkert; Ahmad Mustafa 002; Ghassan AlRegib (ICIP, 2022)

Patient Aware Active Learning for Fine-Grained OCT Classification. - Yash-Yee Logan; Ryan Benkert; Ahmad Mustafa 002; Gukyeong Kwon; Ghassan AlRegib (CoRR, 2022)

Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation. - Ryan Benkert; Oluwaseun Joseph Aribido; Ghassan AlRegib (IEEE Trans. Geosci. Remote. Sens., 2022)

FOCAL: A Cost-Aware Video Dataset for Active Learning. - Kiran Kokilepersaud; Yash-Yee Logan; Ryan Benkert; Chen Zhou; Mohit Prabhushankar; Ghassan AlRegib; Enrique Corona; Kunjan Singh; Mostafa Parchami (IEEE Big Data, 2023)

Targeting Negative Flips in Active Learning using Validation Sets. - Ryan Benkert; Mohit Prabhushankar; Ghassan AlRegib (IEEE Big Data, 2024)

Transitional Uncertainty with Layered Intermediate Predictions. - Ryan Benkert; Mohit Prabhushankar; Ghassan AlRegib (ICML, 2024)

Effective Data Selection for Seismic Interpretation Through Disagreement. - Ryan Benkert; Mohit Prabhushankar; Ghassan AlRegib (IEEE Trans. Geosci. Remote. Sens., 2024)

Transitional Information Extraction. - Ryan Benkert (2024)

Gaussian Switch Sampling: A Second-Order Approach to Active Learning. - Ryan Benkert; Mohit Prabhushankar; Ghassan AlRegib; Armin Pacharmi; Enrique Corona (IEEE Trans. Artif. Intell., 2024)