Kayur Patel
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
6
Active years
2005–2022
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CHI | Jury Learning: Integrating Dissenting Voices into Machine Learning Models. | Mitchell L. Gordon, Michelle S. Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein |
| 2022 | CHI | Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels. | Jochen Grtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel |
| 2021 | CHI | The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. | Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein |
| 2020 | CHI | Understanding and Visualizing Data Iteration in Machine Learning. | Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel |
| 2020 | CHI | The Future of Notebook Programming Is Fluid. | Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel |
| 2020 | CHI | Tempura: Query Analysis with Structural Templates. | Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois |
| 2020 | UIST | mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. | Mary Beth Kery, Donghao Ren, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Kayur Patel |
| 2019 | CHI | App Usage Predicts Cognitive Ability in Older Adults. | Mitchell L. Gordon, Leon A. Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, Kayur Patel |
| 2015 | AAAI | Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. | Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah |
| 2011 | IJCAI | Using Multiple Models to Understand Data. | Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan |
| 2010 | CHI | Lowering the barrier to applying machine learning. | Kayur Patel |
| 2010 | UIST | Lowering the barrier to applying machine learning. | Kayur Patel |
| 2010 | UIST | Gestalt: integrated support for implementation and analysis in machine learning. | Kayur Patel, Naomi Bancroft, Steven Mark Drucker, James Fogarty, Amy J. Ko, James A. Landay |
| 2009 | CHI | Amplifying community content creation with mixed initiative information extraction. | Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld |
| 2008 | AAAI | Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning. | Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison |
| 2008 | AAAI | Intelligence in Wikipedia. | Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner |
| 2008 | CHI | Investigating statistical machine learning as a tool for software development. | Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison |
| 2008 | ICMI | VoiceLabel: using speech to label mobile sensor data. | Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay, Jacob O. Wobbrock |
| 2006 | UIST | Personalizing routes. | Kayur Patel, Mike Y. Chen, Ian E. Smith, James A. Landay |
| 2005 | ICRA | Active Sensing for High-Speed Offroad Driving. | Kayur Patel, Walter Macklem, Sebastian Thrun, Michael Montemerlo |