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Books and Theses
- 2024
[b1]Ryan Benkert:
Transitional Information Extraction. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Journal Articles
- 2024
- [j3]Ryan Benkert
, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona:
Gaussian Switch Sampling: A Second-Order Approach to Active Learning. IEEE Trans. Artif. Intell. 5(1): 38-50 (2024) - [j2]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Effective Data Selection for Seismic Interpretation Through Disagreement. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - 2022
- [j1]Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022)
Conference and Workshop Papers
- 2024
- [c5]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Transitional Uncertainty with Layered Intermediate Predictions. ICML 2024 - 2023
- [c4]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. IEEE Big Data 2023: 1269-1278 - 2022
- [c3]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. ICIP 2022: 2196-2200 - [c2]Yash-Yee Logan, Ryan Benkert, Ahmad Mustafa, Ghassan AlRegib:
Patient Aware Active Learning for Fine-Grained OCT Classification. ICIP 2022: 3908-3912 - 2021
- [c1]Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Explaining Deep Models Through Forgettable Learning Dynamics. ICIP 2021: 3692-3696
Informal and Other Publications
- 2024
- [i9]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Transitional Uncertainty with Layered Intermediate Predictions. CoRR abs/2405.17494 (2024) - [i8]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Effective Data Selection for Seismic Interpretation through Disagreement. CoRR abs/2406.05149 (2024) - [i7]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Targeting Negative Flips in Active Learning using Validation Sets. CoRR abs/2411.10896 (2024) - 2023
- [i6]Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Explaining Deep Models through Forgettable Learning Dynamics. CoRR abs/2301.04221 (2023) - [i5]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib:
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data. CoRR abs/2301.05106 (2023) - [i4]Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona:
Gaussian Switch Sampling: A Second Order Approach to Active Learning. CoRR abs/2302.12018 (2023) - [i3]Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib:
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation. CoRR abs/2302.14644 (2023) - [i2]Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami:
FOCAL: A Cost-Aware Video Dataset for Active Learning. CoRR abs/2311.10591 (2023) - 2022
- [i1]Yash-Yee Logan, Ryan Benkert, Ahmad Mustafa, Gukyeong Kwon, Ghassan AlRegib:
Patient Aware Active Learning for Fine-Grained OCT Classification. CoRR abs/2206.11485 (2022)
Coauthor Index
aka: Ghassan AlRegib
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