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End-to-End Learning from Noisy Crowd to Supervised Machine Learning
  Models

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models

International Conference on Cognitive Machine Intelligence (ICCMI), 2020
13 November 2020
Taraneh Younesian
Chi Hong
Amirmasoud Ghiassi
Robert Birke
L. Chen
    NoLaFedML
ArXiv (abs)PDFHTML

Papers citing "End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models"

1 / 1 papers shown
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell
  Electrodes
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell ElectrodesVISIGRAPP (VISIGRAPP), 2022
S. B. Jensen
T. Moeslund
S. J. Andreasen
MedIm
141
1
0
15 Feb 2022
1
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