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Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment
  Classification
v1v2v3 (latest)

Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification

7 March 2018
Vaibhav Sinha
Sukrut Rao
V. Balasubramanian
ArXiv (abs)PDFHTMLGithub (43★)

Papers citing "Fast Dawid-Skene: A Fast Vote Aggregation Scheme for Sentiment Classification"

10 / 10 papers shown
Title
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
R. Joyce
Derek Everett
Maya Fuchs
Edward Raff
James Holt
89
0
0
04 Feb 2025
Mixture of Experts based Multi-task Supervise Learning from Crowds
Mixture of Experts based Multi-task Supervise Learning from Crowds
Tao Han
Huaixuan Shi
Xinyi Ding
Xiao Ma
Huamao Gu
Yili Fang
93
0
0
18 Jul 2024
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm:
  how does it work and how can we improve it?
Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?
Tanguy Lefort
Antoine Affouard
Benjamin Charlier
J. Lombardo
Mathias Chouet
Hervé Goëau
Joseph Salmon
P. Bonnet
Alexis Joly
101
0
0
05 Jun 2024
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object
  Detection with Repeated Labels
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels
David Tschirschwitz
C. Benz
Morris Florek
Henrik Norderhus
Benno Stein
Volker Rodehorst
61
1
0
18 Sep 2023
CROWDLAB: Supervised learning to infer consensus labels and quality
  scores for data with multiple annotators
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
Hui Wen Goh
Ulyana Tkachenko
Jonas W. Mueller
100
10
0
13 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting
  Areas Under the Margin
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin
Tanguy Lefort
Benjamin Charlier
Alexis Joly
Joseph Salmon
73
5
0
30 Sep 2022
Ensemble learning using individual neonatal data for seizure detection
Ensemble learning using individual neonatal data for seizure detection
A. Borovac
S. Gudmundsson
G. Thorvardsson
S. M. Moghadam
P. Nevalainen
N. Stevenson
S. Vanhatalo
T. Runarsson
FedML
40
9
0
11 Apr 2022
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label
  Sentiment Analysis
End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
Gerhard Johann Hagerer
Dávid Szabó
Andreas Koch
Maria Luisa Ripoll Dominguez
Christian Widmer
Maximilian Wich
Hannah Danner
Georg Groh
24
8
0
03 Nov 2021
Improving Human-Labeled Data through Dynamic Automatic Conflict
  Resolution
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution
David Q. Sun
Hadas Kotek
Christopher Klein
Mayank Gupta
W. Li
Jason D. Williams
35
11
0
08 Dec 2020
Some people aren't worth listening to: periodically retraining
  classifiers with feedback from a team of end users
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users
J. Lockhart
Samuel A. Assefa
T. Balch
Manuela Veloso
16
1
0
27 Apr 2020
1