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 | 188 | 2015 |
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 | 108 | 2015 |
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 | 101 | 2016 |
Clamshell: Speeding up crowds for low-latency data labeling D Haas, J Wang, E Wu, MJ Franklin arXiv preprint arXiv:1509.05969, 2015 | 82 | 2015 |
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 | 76 | 2017 |
Detecting people in cubist art S Ginosar, D Haas, T Brown, J Malik AI Matters 1 (3), 16-18, 2015 | 63 | 2015 |
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 | 51 | 2015 |
The power of adaptivity in identifying statistical alternatives KG Jamieson, D Haas, B Recht Advances in Neural Information Processing Systems 29, 2016 | 26 | 2016 |
Hierarchical review structure for crowd worker tasks D Haas, J Ansel, Z Gu, A Marcus US Patent App. 15/253,505, 2017 | 14 | 2017 |
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 | 10 | 2014 |
Reducing error in context-sensitive crowdsourced tasks D Haas, M Greenstein, K Kamalov, A Marcus, M Olszewski, M Piette Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 5 | 2013 |
Cioppino: Multi-tenant crowd management D Haas, M Franklin Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 …, 2017 | 4 | 2017 |
App Store for EHRs and Patients Both. T Franckle, D Haas, KD Mandl AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits …, 2013 | 4 | 2013 |
Predictive model of task quality for crowd worker tasks D Haas, J Ansel, Z Gu, A Marcus US Patent App. 15/253,483, 2017 | 3 | 2017 |
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 | 2 | 2016 |
High-Performance Systems for Crowdsourced Data Analysis D Haas University of California, Berkeley, 2017 | | 2017 |
CarPhD D Bruckner, D Haas, C Thompson | | |
South Beach: A Model For the Healthy Consumption of Resources D Haas, ER Sparks | | |