Fetching the paper…
Reading the bibliography…
Image classification is often prone to labelling uncertainty.
The logical and mathematical foundation of latent structure analysis
P. F. Lazarsfeld · 1950
Earlier work this paper cites.
Exploratory latent structure analysis using both identifiable and unidentifiable models
L. A. Goodman · 1974
Earlier work this paper cites.
Inference and missing data
D. B. Rubin · 1976
Earlier work this paper cites.
Maximum likelihood from incomplete data via the em algorithm
A. P. Dempster, N. M. Laird, and D. B. Rubin · 1977
Earlier work this paper cites.
Maximum likelihood estimation of observer error-rates using the em algorithm
A. P. Dawid and A. M. Skene · 1979
Earlier work this paper cites.
An empirical bayes approach to statistics
H. E. Robbins · 1992
Earlier work this paper cites.
Stochastic versions of the EM algorithm: An experimental study in the mixture case
G. Celeux, D. Chauveau, and J. Diebolt · 1996
Earlier work this paper cites.
Finite Mixture Models
G. McLachlan and D. Peel · 2000
Earlier work this paper cites.
Predictive profiles for transaction data using finite mixture models
I. V. Cadez, P. Smyth, E. Ip, and H. Mannila · 2001
Earlier work this paper cites.
The elements of statistical learning , volume 1
J. Friedman, T. Hastie, R. Tibshirani, et al · 2001
Earlier work this paper cites.
Model-based clustering, discriminant analysis, and density estimation
C. Fraley and A. E. Raftery · 2002
Earlier work this paper cites.
Statistical analysis with missing data , volume 793
R. J. Little and D. B. Rubin · 2002
Earlier work this paper cites.
Active learning literature survey
B. Settles · 2009
Earlier work this paper cites.
Ranking annotators for crowdsourced labeling tasks
V. C. Raykar and S. Yu · 2011
Earlier work this paper cites.
Local climate zones: Origins, development, and application to urban heat island studies
I. Stewart · 2011
Cited alongside, same era.
Towards an integrated crowdsourcing definition
E. Estellés-Arolas and F. González-Ladrón-de Guevara · 2012
Cited alongside, same era.
Combining human and machine intelligence in large-scale crowdsourcing
E. Kamar, S. Hacker, and E. Horvitz · 2012
Cited alongside, same era.
Classification in the presence of label noise: A survey
B. Frenay and M. Verleysen · 2013
Cited alongside, same era.
Efficient crowdsourcing for multi-class labeling
D. R. Karger, S. Oh, and D. Shah · 2013
Cited alongside, same era.
Label distribution learning
X. Geng · 2016
Cited alongside, same era.
Local climate zone-based urban land cover classification from multi-seasonal sentinel-2 images with a recurrent residual network
C. Qiu, L. Mou, M. Schmitt, and X. X. Zhu · 2019
Later among the works it cites.
So2sat lcz42: A benchmark dataset for global local climate zones classification, 2019
X. X. Zhu, J. Hu, C. Qiu, Y. Shi, J. Kang, L. Mou, H. Bagheri, M. Häberle, Y. Hua, R. Huang, L. Hughes, H. Li, Y. Sun, G. Zhang, S. Han, M. Schmitt, and Y. Wang · 2019
Later among the works it cites.
Latent class analysis
J. Magidson, J. K. Vermunt, and J. P. Madura · 2020
Later among the works it cites.
Model and data uncertainty for satellite time series forecasting with deep recurrent models
M. Russwurm, M. Ali, X. X. Zhu, Y. Gal, and M. Körner · 2020
Later among the works it cites.
Disentangling human error from the ground truth in segmentation of medical images
L. Zhang, R. Tanno, M.-C. Xu, C. Jin, J. Jacob, O. Ciccarelli, F. Barkhof, and D. C. Alexander · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Revolt: Collaborative crowdsourcing for labeling machine learning datasets
J. C. Chang, S. Amershi, and E. Kamar · 2017
Cited alongside, same era.
Deep learning in remote sensing: A comprehensive review and list of resources
X. X. Zhu, D. Tuia, L. Mou, G.-S. Xia, L. Zhang, F. Xu, and F. Fraundorfer · 2017
Cited alongside, same era.
Training a neural network based on unreliable human annotation of medical images
Y. Dgani, H. Greenspan, and J. Goldberger · 2018
Cited alongside, same era.
Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms
P. J. Phillips, A. N. Yates, Y. Hu, C. A. Hahn, E. Noyes, K. Jackson, J. G. Cavazos, G. Jeckeln, R. Ranjan, S. Sankaranarayanan, et al · 2018
Cited alongside, same era.
Feature importance analysis for local climate zone classification using a residual convolutional neural network with multi-source datasets
C. Qiu, M. Schmitt, L. Mou, P. Ghamisi, and X. X. Zhu · 2018
Cited alongside, same era.
Finite mixture models
G. J. McLachlan, S. X. Lee, and S. I. Rathnayake · 2019
Cited alongside, same era.
So2sat lcz42
X. X. Zhu · 2020
Later among the works it cites.
A survey on active learning and human-in-the-loop deep learning for medical image analysis
S. Budd, E. C. Robinson, and B. Kainz · 2021
Later among the works it cites.
A survey of uncertainty in deep neural networks, 2021
J. Gawlikowski, C. R. N. Tassi, M. Ali, J. Lee, M. Humt, J. Feng, A. Kruspe, R. Triebel, P. Jung, R. Roscher, M. Shahzad, W. Yang, R. Bamler, and X. X. Zhu · 2021
Later among the works it cites.
Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods
E. Hüllermeier and W. Waegeman · 2021
Later among the works it cites.
Improving medical image classification with label noise using dual-uncertainty estimation
L. Ju, X. Wang, L. Wang, D. Mahapatra, X. Zhao, M. Harandi, T. Drummond, T. Liu, and Z. Ge · 2021
Later among the works it cites.
Neighbor-based label distribution learning to model label ambiguity for aerial scene classification
J. Luo, Y. Wang, Y. Ou, B. He, and B. Li · 2021
Later among the works it cites.
Confident learning: Estimating uncertainty in dataset labels
C. Northcutt, L. Jiang, and I. Chuang · 2021
Later among the works it cites.
The urban morphology on our planet–global perspectives from space
X. X. Zhu, C. Qiu, J. Hu, Y. Shi, Y. Wang, M. Schmitt, and H. Taubenböck · 2022
Later among the works it cites.