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ORCIDMary Beth Kery
Person information
- affiliation: Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- affiliation: Wellesley College, Computer Science Department, MA, USA
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Journal Articles
- 2014
[j1]Mary Beth Kery, Monica Feldman, Jonathan Livny, Brian Tjaden:
TargetRNA2: identifying targets of small regulatory RNAs in bacteria. Nucleic Acids Res. 42(Webserver-Issue): 124-129 (2014)
Conference and Workshop Papers
- 2024
- [c20]Fred Hohman
, Mary Beth Kery, Donghao Ren, Dominik Moritz:
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. CHI 2024: 645:1-645:18 - 2023
- [c19]Tiffany Tseng, Jennifer King Chen, Mona Abdelrahman, Mary Beth Kery, Fred Hohman, Adriana Hilliard, R. Benjamin Shapiro:
Collaborative Machine Learning Model Building with Families Using Co-ML. IDC 2023: 40-51 - [c18]Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CHI 2023: 832:1-832:20 - 2020
- [c17]Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel:
Understanding and Visualizing Data Iteration in Machine Learning. CHI 2020: 1-13 - [c16]Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel:
The Future of Notebook Programming Is Fluid. CHI Extended Abstracts 2020: 1-8 - [c15]Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel:
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. UIST 2020: 140-151 - 2019
- [c14]Amber Horvath, Mariann Nagy, Finn Voichick, Mary Beth Kery, Brad A. Myers:
Methods for Investigating Mental Models for Learners of APIs. CHI Extended Abstracts 2019 - [c13]Mary Beth Kery, Bonnie E. John, Patrick O'Flaherty, Amber Horvath, Brad A. Myers:
Towards Effective Foraging by Data Scientists to Find Past Analysis Choices. CHI 2019: 92 - [c12]Michael J. Muller, Melanie Feinberg, Timothy George, Steven J. Jackson, Bonnie E. John, Mary Beth Kery, Samir Passi:
Human-Centered Study of Data Science Work Practices. CHI Extended Abstracts 2019 - [c11]Amber Horvath, Sachin Grover, Sihan Dong, Emily Zhou, Finn Voichick, Mary Beth Kery, Shwetha Shinju, Daye Nam, Mariann Nagy, Brad A. Myers:
The Long Tail: Understanding the Discoverability of API Functionality. VL/HCC 2019: 157-161 - 2018
- [c10]Mary Beth Kery, Marissa Radensky, Mahima Arya, Bonnie E. John, Brad A. Myers:
The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool. CHI 2018: 174 - [c9]Mary Beth Kery, Brad A. Myers:
Interactions for Untangling Messy History in a Computational Notebook. VL/HCC 2018: 147-155 - [c8]Lauren Murphy, Mary Beth Kery, Oluwatosin Alliyu, Andrew Macvean, Brad A. Myers:
API Designers in the Field: Design Practices and Challenges for Creating Usable APIs. VL/HCC 2018: 249-258 - [c7]Mary Beth Kery:
Towards Scaffolding Complex Exploratory Data Science Programming Practices. VL/HCC 2018: 273-274 - 2017
- [c6]Mary Beth Kery, Amber Horvath, Brad A. Myers:
Variolite: Supporting Exploratory Programming by Data Scientists. CHI 2017: 1265-1276 - [c5]Julian Ramos Rojas, Mary Beth Kery, Stephanie Rosenthal, Anind K. Dey:
Sampling techniques to improve big data exploration. LDAV 2017: 26-35 - [c4]Mary Beth Kery, Brad A. Myers:
Exploring exploratory programming. VL/HCC 2017: 25-29 - [c3]Florian Kistner, Mary Beth Kery, Michael Puskas, Steven Moore, Brad A. Myers:
Moonstone: Support for understanding and writing exception handling code. VL/HCC 2017: 63-71 - [c2]Mary Beth Kery:
Tools to support exploratory programming with data. VL/HCC 2017: 321-322 - 2016
- [c1]Mary Beth Kery, Claire Le Goues, Brad A. Myers:
Examining programmer practices for locally handling exceptions. MSR 2016: 484-487
Parts in Books or Collections
- 2017
- [p1]Brad A. Myers, Amy J. Ko, Chris Scaffidi, Stephen Oney, YoungSeok Yoon, Kerry Shih-Ping Chang, Mary Beth Kery, Toby Jia-Jun Li:
Making End User Development More Natural. New Perspectives in End-User Development 2017: 1-22
Informal and Other Publications
- 2023
- [i4]Tiffany Tseng, Jennifer King Chen, Mona Abdelrahman, Mary Beth Kery, Fred Hohman, Adriana Hilliard, R. Benjamin Shapiro:
Collaborative Machine Learning Model Building with Families Using Co-ML. CoRR abs/2304.05444 (2023) - [i3]Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Fred Hohman:
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. CoRR abs/2304.05967 (2023) - [i2]Fred Hohman, Mary Beth Kery, Donghao Ren, Dominik Moritz:
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. CoRR abs/2310.04621 (2023) - 2020
- [i1]Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel:
mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. CoRR abs/2009.10643 (2020)
Coauthor Index
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