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Journal Articles
- 2012
[j1]Weijie Chen, Waleed A. Yousef, Brandon D. Gallas
, Elizabeth R. Hsu, Samir Lababidi, Rong Tang, Gene A. Pennello, W. Fraser Symmans, Lajos Pusztai:
Uncertainty estimation with a finite dataset in the assessment of classification models. Comput. Stat. Data Anal. 56(5): 1016-1027 (2012)
Conference and Workshop Papers
- 2024
- [c6]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. AISTATS 2024: 181-189 - [c5]Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio:
Monitoring machine learning-based risk prediction algorithms in the presence of performativity. AISTATS 2024: 919-927 - [c4]Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia:
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR 2024: 587-608 - 2023
- [c3]Alexis Burgon, Nicholas Petrick, Berkman Sahiner, Gene Pennello, Ravi K. Samala:
Decision region analysis to deconstruct the subgroup influence on AI/ML predictions. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [c2]Ravi K. Samala, Berkman Sahiner, Gene Pennello, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick:
Deciphering deep ensembles for lung nodule analysis. Medical Imaging: Computer-Aided Diagnosis 2022 - [c1]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. UAI 2022: 674-684
Informal and Other Publications
- 2023
- [i4]Jean Feng, Alexej Gossmann, Romain Pirracchio, Nicholas Petrick, Gene Pennello, Berkman Sahiner:
Is this model reliable for everyone? Testing for strong calibration. CoRR abs/2307.15247 (2023) - [i3]Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia:
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR abs/2311.11463 (2023) - 2022
- [i2]Jean Feng, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio, Alexej Gossmann:
Sequential algorithmic modification with test data reuse. CoRR abs/2203.11377 (2022) - [i1]Jean Feng, Alexej Gossmann, Gene Pennello, Nicholas Petrick, Berkman Sahiner, Romain Pirracchio:
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventions. CoRR abs/2211.09781 (2022)
Coauthor Index
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