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Books and Theses
- 2012
[b1]Kayur Patel:
Lowering the Barrier to Applying Machine Learning. University of Washington, USA, 2012
Journal Articles
- 2008
- [j1]Jeremy N. Bailenson, Nick Yee, Kayur Patel, Andrew C. Beall:
Detecting digital chameleons. Comput. Hum. Behav. 24(1): 66-87 (2008)
Conference and Workshop Papers
- 2022
- [c22]Mitchell L. Gordon
, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CHI 2022: 115:1-115:19 - [c21]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CHI 2022: 408:1-408:13 - 2021
- [c20]Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein:
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI 2021: 388:1-388:14 - 2020
- [c19]Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel:
Understanding and Visualizing Data Iteration in Machine Learning. CHI 2020: 1-13 - [c18]Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel:
The Future of Notebook Programming Is Fluid. CHI Extended Abstracts 2020: 1-8 - [c17]Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois:
Tempura: Query Analysis with Structural Templates. CHI 2020: 1-12 - [c16]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
- [c15]Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel:
App Usage Predicts Cognitive Ability in Older Adults. CHI 2019: 168 - 2015
- [c14]Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah:
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. AAAI 2015: 1763-1769 - 2014
- [c13]Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong:
Corporate learning at scale: lessons from a large online course at google. L@S 2014: 187-188 - 2011
- [c12]Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan:
Using Multiple Models to Understand Data. IJCAI 2011: 1723-1728 - 2010
- [c11]Kayur Patel:
Lowering the barrier to applying machine learning. CHI Extended Abstracts 2010: 2907-2910 - [c10]Kayur Patel, Naomi Bancroft, Steven Mark Drucker, James Fogarty, Amy J. Ko, James A. Landay:
Gestalt: integrated support for implementation and analysis in machine learning. UIST 2010: 37-46 - [c9]Kayur Patel:
Lowering the barrier to applying machine learning. UIST (Adjunct Volume) 2010: 355-358 - 2009
- [c8]Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld:
Amplifying community content creation with mixed initiative information extraction. CHI 2009: 1849-1858 - 2008
- [c7]Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison:
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning. AAAI 2008: 1563-1566 - [c6]Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner:
Intelligence in Wikipedia. AAAI 2008: 1609-1614 - [c5]Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison:
Investigating statistical machine learning as a tool for software development. CHI 2008: 667-676 - [c4]Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay, Jacob O. Wobbrock:
VoiceLabel: using speech to label mobile sensor data. ICMI 2008: 69-76 - 2006
- [c3]Kayur Patel, Mike Y. Chen, Ian E. Smith, James A. Landay:
Personalizing routes. UIST 2006: 187-190 - 2005
- [c2]Peter Bodík, Greg Friedman, Lukas Biewald, Helen Levine, George Candea, Kayur Patel, Gilman Tolle, Jonathan Hui, Armando Fox, Michael I. Jordan, David A. Patterson:
Combining Visualization and Statistical Analysis to Improve Operator Confidence and Efficiency for Failure Detection and Localization. ICAC 2005: 89-100 - [c1]Kayur Patel, Walter Macklem, Sebastian Thrun, Michael Montemerlo:
Active Sensing for High-Speed Offroad Driving. ICRA 2005: 3162-3168
Informal and Other Publications
- 2022
- [i3]Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein:
Jury Learning: Integrating Dissenting Voices into Machine Learning Models. CoRR abs/2202.02950 (2022) - 2021
- [i2]Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel:
Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. CoRR abs/2110.12536 (2021) - 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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