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2020 – today
- 2021
[c8]Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. KDD 2021: 2974-2983- [i2]Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi:
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. CoRR abs/2109.03285 (2021)
2010 – 2019
- 2019
- [c7]Konstantinos Katsiapis, Kevin Haas:
Towards ML Engineering with TensorFlow Extended (TFX). KDD 2019: 3182 - [c6]Denis Baylor, Kevin Haas, Konstantinos Katsiapis, Sammy Leong, Rose Liu, Clemens Mewald, Hui Miao, Neoklis Polyzotis, Mitchell Trott, Martin Zinkevich:
Continuous Training for Production ML in the TensorFlow Extended (TFX) Platform. OpML 2019: 51-53 - 2013
- [b1]Kevin Haas:
Statistical Learning Theory of Protein Dynamics. University of California, Berkeley, USA, 2013 - 2012
- [c5]Patrick Pantel, Michael Gamon, Omar Alonso, Kevin Haas:
Social annotations: utility and prediction modeling. SIGIR 2012: 285-294 - [c4]Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas:
User Taglines: Alternative Presentations of Expertise and Interest in Social Media. SocialInformatics 2012: 236-243 - [i1]Hemant Purohit, Alex Dow, Omar Alonso, Lei Duan, Kevin Haas:
User Taglines: Alternative Presentations of Expertise and Interest in Social Media. CoRR abs/1212.1927 (2012) - 2011
- [c3]Kevin Haas, Peter Mika, Paul Tarjan, Roi Blanco:
Enhanced results for web search. SIGIR 2011: 725-734
2000 – 2009
- 2008
- [c2]Alfredo Alba, Varun Bhagwan, Julia Grace, Daniel Gruhl, Kevin Haas, Meenakshi Nagarajan, Jan Pieper, Christine Robson, Nachiketa Sahoo:
Applications of Voting Theory to Information Mashups. ICSC 2008: 10-17 - 2006
- [j1]Alfredo Alba, Varun Bhagwan, Mike Ching, Alex Cozzi, Raj Desai, Daniel Gruhl, Kevin Haas, Linda Kato, Jeff Kusnitz, Bryan Langston, Ferdy Nagy, Linda A. Nguyen, Jan Pieper, Savitha Srinivasan, Anthony Stuart, Renjie Tang:
A funny thing happened on the way to a billion .... IEEE Data Eng. Bull. 29(4): 27-36 (2006)
1990 – 1999
- 1996
- [c1]Dallan Quass, Jennifer Widom, Roy Goldman, Kevin Haas, Qingshan Luo, Jason McHugh, Svetlozar Nestorov, Anand Rajaraman, Hugo Rivero, Serge Abiteboul, Jeffrey D. Ullman, Janet L. Wiener:
LORE: A Lightweight Object REpository for Semistructured Data. SIGMOD Conference 1996: 549
Coauthor Index
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