Reducing Error in Context-Sensitive Crowdsourced Tasks. - Daniel Haas; Matthew Greenstein; Kainar Kamalov; Adam Marcus 002; Marek Olszewski; Marc Piette (HCOMP (Works in Progress / Demos), 2013)

Automating model search for large scale machine learning. - Evan Randall Sparks; Ameet Talwalkar; Daniel Haas; Michael J. Franklin; Michael I. Jordan; Tim Kraska (SoCC, 2015)

Detecting people in Cubist art. - Shiry Ginosar; Daniel Haas; Timothy Brown; Jitendra Malik (AI Matters, 2015)

Argonaut: Macrotask Crowdsourcing for Complex Data Processing. - Daniel Haas; Jason Ansel; Lydia Gu; Adam Marcus 002 (Proc. VLDB Endow., 2015)

Wisteria: Nurturing Scalable Data Cleaning Infrastructure. - Daniel Haas; Sanjay Krishnan; Jiannan Wang 001; Michael J. Franklin; Eugene Wu 002 (Proc. VLDB Endow., 2015)

CLAMShell: Speeding up Crowds for Low-latency Data Labeling. - Daniel Haas; Jiannan Wang 001; Eugene Wu 002; Michael J. Franklin (Proc. VLDB Endow., 2015)

The Power of Adaptivity in Identifying Statistical Alternatives. - Kevin G. Jamieson; Daniel Haas; Benjamin Recht (NIPS, 2016)

Towards reliable interactive data cleaning: a user survey and recommendations. - Sanjay Krishnan; Daniel Haas; Michael J. Franklin; Eugene Wu 002 (HILDA@SIGMOD, 2016)

On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem. - Kevin G. Jamieson; Daniel Haas; Benjamin Recht (CoRR, 2016)

Cioppino: Multi-Tenant Crowd Management. - Daniel Haas; Michael J. Franklin (HCOMP, 2017)

High-Performance Systems for Crowdsourced Data Analysis. - Daniel Haas (2017)

DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging. - Giulia Monopoli; Daniel Haas; Ashay Singh; Eivind Westrum Aabel; Margareth Ribe; Anna Isotta Castrini; Nina Eide Hasselberg; Cecilie Bugge; Christian Five; Kristina Haugaa; Nickolas Forsch; Vajira Thambawita; et al. (Comput. Biol. Medicine, 2025)