Daniel Haas

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	Sve	Od 2020.
Citati	796	439
H-indeks	10	9
i10-indeks	10	9

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Michael FranklinUniversity of ChicagoPotvrđena adresa e-pošte na uchicago.edu
Adam MarcusCo-Founder at Unlimited Labs/B12Potvrđena adresa e-pošte na marcua.net
Eugene WuColumbia UniversityPotvrđena adresa e-pošte na cs.columbia.edu
Sanjay KrishnanUniversity of ChicagoPotvrđena adresa e-pošte na cs.uchicago.edu
Jiannan WangAssociate Professor, Simon Fraser UniversityPotvrđena adresa e-pošte na sfu.ca
Tim KraskaMITPotvrđena adresa e-pošte na mit.edu
Ameet TalwalkarCMUPotvrđena adresa e-pošte na cmu.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Shiry GinosarAssistant Professor, TTIC and Visiting Faculty Researcher, Google DeepMindPotvrđena adresa e-pošte na ttic.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Kenneth D. MandlProfessor, Harvard Med. Director, Computational Health Informatics Program, Boston Children'sPotvrđena adresa e-pošte na harvard.edu
Evan R. SparksHPE, Determined AI

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Daniel Haas

UC Berkeley

Potvrđena adresa e-pošte na cs.berkeley.edu - Početna stranica

databases crowdsourcing


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	203	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	109	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	108	2016
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	98	2017
Clamshell: Speeding up crowds for low-latency data labeling D Haas, J Wang, E Wu, MJ Franklin arXiv preprint arXiv:1509.05969, 2015	84	2015
Detecting people in cubist art S Ginosar, D Haas, T Brown, J Malik AI Matters 1 (3), 16-18, 2015	69	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	53	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	17	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
Predictive model of task quality for crowd worker tasks D Haas, J Ansel, Z Gu, A Marcus US Patent App. 15/253,483, 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
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

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