Daniel Haas
Daniel Haas
Verified email at cs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Automating model search for large scale machine learning
ER Sparks, A Talwalkar, D Haas, MJ Franklin, MI Jordan, T Kraska
Proceedings of the Sixth ACM Symposium on Cloud Computing, 368-380, 2015
1022015
Argonaut: macrotask crowdsourcing for complex data processing
D Haas, J Ansel, L Gu, A Marcus
Proceedings of the VLDB Endowment 8 (12), 1642-1653, 2015
702015
Clamshell: Speeding up crowds for low-latency data labeling
D Haas, J Wang, E Wu, MJ Franklin
arXiv preprint arXiv:1509.05969, 2015
552015
Wisteria: Nurturing scalable data cleaning infrastructure
D Haas, S Krishnan, J Wang, MJ Franklin, E Wu
Proceedings of the VLDB Endowment 8 (12), 2004-2007, 2015
352015
Towards reliable interactive data cleaning: A user survey and recommendations
S Krishnan, D Haas, MJ Franklin, E Wu
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-5, 2016
332016
Detecting people in cubist art
S Ginosar, D Haas, T Brown, J Malik
European Conference on Computer Vision, 101-116, 2014
282014
The power of adaptivity in identifying statistical alternatives
KG Jamieson, D Haas, B Recht
Advances in Neural Information Processing Systems, 775-783, 2016
122016
System and method for management of processing workers
J Ansel, M Greenstein, D Haas, K Kamalov, A Marcus, M Olszewski, ...
US Patent App. 14/209,306, 2014
42014
Cioppino: Multi-tenant crowd management
D Haas, MJ Franklin
Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017
22017
Reducing error in context-sensitive crowdsourced tasks
D Haas, M Greenstein, K Kamalov, A Marcus, M Olszewski, M Piette
First AAAI Conference on Human Computation and Crowdsourcing, 2013
22013
App Store for EHRs and Patients Both.
T Franckle, D Haas, KD Mandl
AMIA Joint Summits on Translational Science proceedings AMIA Summit on …, 2012
22012
Workflow management for crowd worker tasks with fixed throughput and budgets
D Haas, J Ansel, Z Gu, A Marcus
US Patent App. 15/253,411, 2017
12017
On the detection of mixture distributions with applications to the most biased coin problem
K Jamieson, D Haas, B Recht
arXiv preprint arXiv:1603.08037, 2016
12016
Predictive model of task quality for crowd worker tasks
D Haas, J Ansel, Z Gu, A Marcus
US Patent App. 15/253,483, 2017
2017
Hierarchical review structure for crowd worker tasks
D Haas, J Ansel, Z Gu, A Marcus
US Patent App. 15/253,505, 2017
2017
High-Performance Systems for Crowdsourced Data Analysis
D Haas
UC Berkeley, 2017
2017
CarPhD
D Bruckner, D Haas, C Thompson
South Beach: A Model For the Healthy Consumption of Resources
D Haas, ER Sparks
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Articles 1–18