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Sydney Pugh

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Journal Articles

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2022
[j2]
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  - journals/health/PughRBDSLW22
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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)
2020
[j1]
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Leon Moonen, David W. Binkley, Sydney Pugh:
On Adaptive Change Recommendation. J. Syst. Softw. 164: 110550 (2020)

Conference and Workshop Papers

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2024
[c9]
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  - conf/chase/ParkPSLYKDBS024
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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]
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Sydney Pugh, Ivan Ruchkin, James Weimer, Insup Lee:
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems. ICCPS 2024: 212-223
2023
[c7]
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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
2022
[c6]
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  - conf/acssc/WatsonPPSWL22
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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]
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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]
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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
2019
[c3]
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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]
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Sydney Pugh, David W. Binkley, Leon Moonen:
[Research Paper] The Case for Adaptive Change Recommendation. SCAM 2018: 129-138
[c1]
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Sydney Pugh, David W. Binkley:
Change Impact using Dynamic History Analysis: (Abstract Only). SIGCSE 2018: 275

Informal and Other Publications

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2024
[i2]
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  - journals/corr/abs-2407-07982
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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
[i1]
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  - journals/corr/abs-2309-00543
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Sydney Pugh, Ivan Ruchkin, Insup Lee, James Weimer:
Curating Naturally Adversarial Datasets for Trustworthy AI in Healthcare. CoRR abs/2309.00543 (2023)

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