Kayur Patel

Publication Activity (10 Years)

Years Active: 2005-2022
Publications (10 Years): 11

Top Topics

Data Representations

Machine Learning

Confusion Matrix

Top Venues

Publications

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)
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 (2022)
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)
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)
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 (2021)
Fred Hohman, Kanit Wongsuphasawat, Mary Beth Kery, Kayur Patel
Understanding and Visualizing Data Iteration in Machine Learning. CHI (2020)
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 (2020)
Mary Beth Kery, Donghao Ren, Kanit Wongsuphasawat, Fred Hohman, Kayur Patel
The Future of Notebook Programming Is Fluid. CHI Extended Abstracts (2020)
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)
Tongshuang Wu, Kanit Wongsuphasawat, Donghao Ren, Kayur Patel, Chris DuBois
Tempura: Query Analysis with Structural Templates. CHI (2020)
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)
Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. AAAI (2015)
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)
Kayur Patel, Steven Mark Drucker, James Fogarty, Ashish Kapoor, Desney S. Tan
Using Multiple Models to Understand Data. IJCAI (2011)
Kayur Patel
Lowering the barrier to applying machine learning. CHI Extended Abstracts (2010)
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)
Kayur Patel
Lowering the barrier to applying machine learning. UIST (Adjunct Volume) (2010)
Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty, Daniel S. Weld
Amplifying community content creation with mixed initiative information extraction. CHI (2009)
Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison
Investigating statistical machine learning as a tool for software development. CHI (2008)
Kayur Patel, James Fogarty, James A. Landay, Beverly L. Harrison
Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning. AAAI (2008)
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)
Daniel S. Weld, Fei Wu, Eytan Adar, Saleema Amershi, James Fogarty, Raphael Hoffmann, Kayur Patel, Michael Skinner
Intelligence in Wikipedia. AAAI (2008)
Jeremy N. Bailenson, Nick Yee, Kayur Patel, Andrew C. Beall
Detecting digital chameleons. Comput. Hum. Behav. 24 (1) (2008)
Kayur Patel, Mike Y. Chen, Ian E. Smith, James A. Landay
Personalizing routes. UIST (2006)
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)
Kayur Patel, Walter Macklem, Sebastian Thrun, Michael Montemerlo
Active Sensing for High-Speed Offroad Driving. ICRA (2005)