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Daniel Haas
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2010 – 2019
- 2017
- [b1]Daniel Haas:
High-Performance Systems for Crowdsourced Data Analysis. University of California, Berkeley, USA, 2017 - [c6]Daniel Haas, Michael J. Franklin:
Cioppino: Multi-Tenant Crowd Management. HCOMP 2017: 41-50 - 2016
- [c5]Kevin G. Jamieson, Daniel Haas, Benjamin Recht:
The Power of Adaptivity in Identifying Statistical Alternatives. NIPS 2016: 775-783 - [c4]Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu:
Towards reliable interactive data cleaning: a user survey and recommendations. HILDA@SIGMOD 2016: 9 - [i3]Kevin G. Jamieson, Daniel Haas, Benjamin Recht:
On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem. CoRR abs/1603.08037 (2016) - 2015
- [j4]Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik:
Detecting people in Cubist art. AI Matters 1(3): 16-18 (2015) - [j3]Daniel Haas, Jason Ansel, Lydia Gu, Adam Marcus:
Argonaut: Macrotask Crowdsourcing for Complex Data Processing. Proc. VLDB Endow. 8(12): 1642-1653 (2015) - [j2]Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu:
Wisteria: Nurturing Scalable Data Cleaning Infrastructure. Proc. VLDB Endow. 8(12): 2004-2007 (2015) - [j1]Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin:
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. Proc. VLDB Endow. 9(4): 372-383 (2015) - [c3]Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan
, Tim Kraska:
Automating model search for large scale machine learning. SoCC 2015: 368-380 - [i2]Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin:
CLAMShell: Speeding up Crowds for Low-latency Data Labeling. CoRR abs/1509.05969 (2015) - 2014
- [c2]Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik:
Detecting People in Cubist Art. ECCV Workshops (1) 2014: 101-116 - [i1]Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik:
Detecting People in Cubist Art. CoRR abs/1409.6235 (2014) - 2013
- [c1]Daniel Haas, Matthew Greenstein, Kainar Kamalov, Adam Marcus, Marek Olszewski, Marc Piette:
Reducing Error in Context-Sensitive Crowdsourced Tasks. HCOMP (Works in Progress / Demos) 2013
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