Daniel Haas

15 papers B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging.
Comput. Biol. Medicine
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, Gabriel Balaban, Mary M. Maleckar
2017 B conf
Cioppino: Multi-Tenant Crowd Management.
HCOMP
Daniel Haas, Michael J. Franklin
2017 — —
High-Performance Systems for Crowdsourced Data Analysis.
Daniel Haas
2016 J jnl
On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem.
CoRR
Kevin Jamieson, Daniel Haas, Benjamin Recht
2016 — conf
The Power of Adaptivity in Identifying Statistical Alternatives.
NIPS
Kevin Jamieson, Daniel Haas, Benjamin Recht
2016 — conf
Towards reliable interactive data cleaning: a user survey and recommendations.
HILDA@SIGMOD
Sanjay Krishnan, Daniel Haas, Michael J. Franklin, Eugene Wu
2015 J jnl
Argonaut: Macrotask Crowdsourcing for Complex Data Processing.
Proc. VLDB Endow.
Daniel Haas, Jason Ansel, Lydia Gu, Adam Marcus
2015 — conf
Automating model search for large scale machine learning.
SoCC
Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska
2015 J jnl
CLAMShell: Speeding up Crowds for Low-latency Data Labeling.
CoRR
Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin
2015 J jnl
CLAMShell: Speeding up Crowds for Low-latency Data Labeling.
Proc. VLDB Endow.
Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin
2015 J jnl
Detecting people in Cubist art.
AI Matters
Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik
2015 J jnl
Wisteria: Nurturing Scalable Data Cleaning Infrastructure.
Proc. VLDB Endow.
Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu
2014 — conf
Detecting People in Cubist Art.
ECCV Workshops (1)
Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik
2014 J jnl
Detecting People in Cubist Art.
CoRR
Shiry Ginosar, Daniel Haas, Timothy Brown, Jitendra Malik
2013 — conf
Reducing Error in Context-Sensitive Crowdsourced Tasks.
HCOMP (Works in Progress / Demos)
Daniel Haas, Matthew Greenstein, Kainar Kamalov, Adam Marcus, Marek Olszewski, Marc Piette