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ORCIDRobert F. Chew
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- affiliation: RTI International, Research Triangle Park, NC, USA
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2020 – today
- 2026
[i7]Robert F. Chew, Stephanie Eckman, Christoph Kern, Frauke Kreuter:
From Ground Truth to Measurement: A Statistical Framework for Human Labeling. CoRR abs/2604.07591 (2026)- [i6]Thomas Reiter, Christoph Kern, Fedor Miasnikov, Sofiia Nikolenko, Robert F. Chew, Stephanie Eckman, Frauke Kreuter:
Reliable but Design-Sensitive: Instrument Uncertainty in LLM Annotation. CoRR abs/2609.35824 (2026) - 2025
- [c6]Stephanie Eckman
, Bolei Ma, Christoph Kern, Robert F. Chew, Barbara Plank, Frauke Kreuter:
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication. NLPerspectives 2025: 100-110 - [i5]Stephanie Eckman, Bolei Ma, Christoph Kern, Robert F. Chew, Barbara Plank, Frauke Kreuter:
Correcting Annotator Bias in Training Data: Population-Aligned Instance Replication (PAIR). CoRR abs/2501.06826 (2025) - [i4]Robert F. Chew, Matthew R. Williams, Elan A. Segarra, Alexander Preiss, Amanda Konet, Terrance D. Savitsky:
Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning. CoRR abs/2503.21528 (2025) - 2024
- [j6]Shawn T. O'Neil, Charisse R. Madlock-Brown, Kenneth J. Wilkins, Brenda M. McGrath, Hannah E. Davis, Gina S. Assaf, Hannah Wei, Parya Zareie, Evan T. French, Johanna Loomba, Julie A. McMurry, Andrea Zhou, Christopher G. Chute, Richard A. Moffitt, Emily R. Pfaff, Yun Jae Yoo, Peter Leese, Robert F. Chew, Michael Lieberman, Melissa A. Haendel:
Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programs. npj Digit. Medicine 7(1) (2024) - 2023
- [c5]Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. EMNLP (Findings) 2023: 14874-14886 - [i3]Robert F. Chew, John Bollenbacher, Michael Wenger, Jessica Speer, Annice Kim:
LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding. CoRR abs/2306.14924 (2023) - [i2]Christoph Kern, Stephanie Eckman, Jacob Beck, Rob Chew, Bolei Ma, Frauke Kreuter:
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. CoRR abs/2311.14212 (2023) - 2022
- [j5]Alexander M. Waldrop, John B. Cheadle, Kira Bradford, Alexander Preiss, Robert F. Chew, Jonathan R. Holt, Yaphet Kebede, Nathan Braswell, Matthew Watson, Virginia Hench, Andrew Crerar, Chris M. Ball, Carl Schreep, P. J. Linebaugh, Hannah Hiles, Rebecca R. Boyles, Chris Bizon, Ashok Kumar Krishnamurthy, Steven Cox:
Dug: a semantic search engine leveraging peer-reviewed knowledge to query biomedical data repositories. Bioinform. 38(12): 3252-3258 (2022) - [c4]Jacob Beck, Stephanie Eckman, Robert F. Chew, Frauke Kreuter:
Improving Labeling Through Social Science Insights: Results and Research Agenda. HCI (43) 2022: 245-261 - 2021
- [c3]Juan-Carlos Prieto, Hina Shah, Kasey Jones, Robert F. Chew, Hashiya M. Kana, Jerusha Weaver, Rebecca M. Flueckiger, Scott McPherson, Emily W. Gower:
Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification. MIDL 2021: 633-644
2010 – 2019
- 2019
- [j4]Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner:
SMART: An Open Source Data Labeling Platform for Supervised Learning. J. Mach. Learn. Res. 20: 82:1-82:5 (2019) - [j3]Kasey Jones, Rob Chew, Allison Witman, Yiyan Liu:
rollmatch: An R Package for Rolling Entry Matching. R J. 11(2): 243 (2019) - [j2]Robert F. Chew, Jonathan Thornburg, Darby Jack, Cara Smith, Qiang Yang, Steven N. Chillrud:
Identification of Bicycling Periods Using the MicroPEM Personal Exposure Monitor. Sensors 19(21): 4613 (2019) - 2018
- [j1]Robert F. Chew, Kasey Jones, Jennifer Unangst, James Cajka, Justine Allpress, Safaa Amer, Karol Krotki:
Toward Model-Generated Household Listing in Low- and Middle-Income Countries Using Deep Learning. ISPRS Int. J. Geo Inf. 7(11): 448 (2018) - [c2]Robert F. Chew, Annice Kim, Vivian Chen, Paul Ruddle, Antonio Morgan-Lopez:
Assessing Target Audiences of Digital Public Health Campaigns: A Computational Approach. SBP-BRiMS 2018: 286-291 - [c1]Georgiy V. Bobashev, Marc Sageman, Amanda Lewis Evans, John Wittenborn, Robert F. Chew:
Turning Narrative Descriptions of Individual Behavior into Network Visualization and Analysis: Example of Terrorist Group Dynamics. SBP-BRiMS 2018: 315-328 - [i1]Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner:
SMART: An Open Source Data Labeling Platform for Supervised Learning. CoRR abs/1812.06591 (2018)
Coauthor Index
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