Kevin Haas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
3
Active years
1996–2021
Best venue rank
A*
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | KDD | Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud. | 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 |
| 2019 | KDD | Towards ML Engineering with TensorFlow Extended (TFX). | Konstantinos Katsiapis, Kevin Haas |
| 2012 | SIGIR | Social annotations: utility and prediction modeling. | Patrick Pantel, Michael Gamon, Omar Alonso, Kevin Haas |
| 2011 | SIGIR | Enhanced results for web search. | Kevin Haas, Peter Mika, Paul Tarjan, Roi Blanco |
| 1996 | SIGMOD | LORE: A Lightweight Object REpository for Semistructured Data. | 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 |