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2020 – today
- 2024
[c9]Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee:
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CHASE 2024: 25-36- [c8]Sydney Pugh, Ivan Ruchkin, James Weimer, Insup Lee:
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems. ICCPS 2024: 212-223 - [i2]Jean Park, Sydney Pugh, Kaustubh Sridhar, Mengyu Liu, Navish Yarna, Ramneet Kaur, Souradeep Dutta, Elena Bernardis, Oleg Sokolsky, Insup Lee:
Automating Weak Label Generation for Data Programming with Clinicians in the Loop. CoRR abs/2407.07982 (2024) - 2023
- [c7]Sydney Pugh
, Souradeep Dutta, Ramneet Kaur, Yahan Yang, Elena Bernardis, Insup Lee:
Automated Labeling Function Generation using Distance Functions for Physiological Alarm Suppression. ICCPS 2023: 249-250 - [i1]Sydney Pugh, Ivan Ruchkin, Insup Lee, James Weimer:
Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare. CoRR abs/2309.00543 (2023) - 2022
- [j2]Sydney Pugh, Ivan Ruchkin, Christopher P. Bonafide, Sara B. DeMauro, Oleg Sokolsky, Insup Lee, James Weimer:
Evaluating Alarm Classifiers with High-confidence Data Programming. ACM Trans. Comput. Heal. 3(4): 43:1-43:24 (2022) - [c6]Amanda Watson, Jean Park, Sydney Pugh, Oleg Sokolsky, James Weimer, Insup Lee:
Medical Cyber-Physical Systems: IoMT Applications and Challenges. IEEECONF 2022: 998-1004 - 2021
- [c5]Sydney Pugh, Ivan Ruchkin, Christopher P. Bonafide, Sara B. DeMauro, Oleg Sokolsky, Insup Lee, James Weimer:
High-Confidence Data Programming for Evaluating Suppression of Physiological Alarms. CHASE 2021: 70-81 - [c4]Pengyuan Lu, Xian Li, Sooyong Jang, Alexander Lee, Sydney Pugh, Amanda Watson, Ragnhildur I. Bjarnadottir, Robert Lucero, George Demiris, Ani Nenkova, James Weimer, Insup Lee:
FRED: Fall Risk Evaluation Database Based on Electronic Health Record Data. CHASE 2021: 130-131 - 2020
- [j1]Leon Moonen, David W. Binkley, Sydney Pugh:
On Adaptive Change Recommendation. J. Syst. Softw. 164: 110550 (2020)
2010 – 2019
- 2019
- [c3]Sydney Pugh, M. S. Raunak, D. Richard Kuhn, Raghu Kacker:
Systematic testing of post-quantum cryptographic implementations using metamorphic testing. MET@ICSE 2019: 2-8 - 2018
- [c2]Sydney Pugh, David W. Binkley, Leon Moonen:
[Research Paper] The Case for Adaptive Change Recommendation. SCAM 2018: 129-138 - [c1]Sydney Pugh, David W. Binkley:
Change Impact using Dynamic History Analysis: (Abstract Only). SIGCSE 2018: 275
Coauthor Index
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last updated on 2024-10-23 20:29 CEST by the dblp team
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