Daniel Haas

According to our database1, Daniel Haas authored at least 11 papers between 2013 and 2017.

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Bibliography

2017
High-Performance Systems for Crowdsourced Data Analysis.
PhD thesis, 2017

Cioppino: Multi-Tenant Crowd Management.
Proceedings of the Fifth AAAI Conference on Human Computation and Crowdsourcing, 2017

2016
On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem.
CoRR, 2016

Towards reliable interactive data cleaning: a user survey and recommendations.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2016

The Power of Adaptivity in Identifying Statistical Alternatives.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
CLAMShell: Speeding up Crowds for Low-latency Data Labeling.
Proc. VLDB Endow., 2015

Wisteria: Nurturing Scalable Data Cleaning Infrastructure.
Proc. VLDB Endow., 2015

Argonaut: Macrotask Crowdsourcing for Complex Data Processing.
Proc. VLDB Endow., 2015

Detecting people in Cubist art.
AI Matters, 2015

Automating model search for large scale machine learning.
Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

2013
Reducing Error in Context-Sensitive Crowdsourced Tasks.
Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013


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