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Assessing the Quality of the Datasets by Identifying Mislabeled Samples

Assessing the Quality of the Datasets by Identifying Mislabeled Samples

10 September 2021
Vaibhav Pulastya
Gaurav Nuti
Yash Kumar Atri
Tanmoy Chakraborty
    NoLa
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Papers citing "Assessing the Quality of the Datasets by Identifying Mislabeled Samples"

5 / 5 papers shown
Title
Towards Explainable Artificial Intelligence (XAI): A Data Mining
  Perspective
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
Haoyi Xiong
Xuhong Li
Xiaofei Zhang
Jiamin Chen
Xinhao Sun
Yuchen Li
Zeyi Sun
Mengnan Du
XAI
26
7
0
09 Jan 2024
Leveraging Unlabeled Data to Track Memorization
Leveraging Unlabeled Data to Track Memorization
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLa
TDI
30
3
0
08 Dec 2022
Improving Data Quality with Training Dynamics of Gradient Boosting
  Decision Trees
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees
M. Ponti
L. Oliveira
Mathias Esteban
Valentina Garcia
J. Román
Luis Argerich
TDI
16
4
0
20 Oct 2022
Noise Audits Improve Moral Foundation Classification
Noise Audits Improve Moral Foundation Classification
Negar Mokhberian
F. R. Hopp
Bahareh Harandizadeh
Fred Morstatter
Kristina Lerman
NoLa
11
4
0
13 Oct 2022
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI
  Mislabel Detection Algorithm
Do-AIQ: A Design-of-Experiment Approach to Quality Evaluation of AI Mislabel Detection Algorithm
J. Lian
K. Choi
B. Veeramani
A. Hu
L. Freeman
Edward Bowen
X. Deng
26
0
0
21 Aug 2022
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