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FairOD: Fairness-aware Outlier Detection

FairOD: Fairness-aware Outlier Detection

5 December 2020
Shubhranshu Shekhar
Neil Shah
L. Akoglu
ArXivPDFHTML

Papers citing "FairOD: Fairness-aware Outlier Detection"

8 / 8 papers shown
Title
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
Wenjing Chang
Kay Liu
Philip S. Yu
Jianjun Yu
57
2
0
03 Jun 2024
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
42
26
0
11 Dec 2022
ADBench: Anomaly Detection Benchmark
ADBench: Anomaly Detection Benchmark
Songqiao Han
Xiyang Hu
Hailiang Huang
Mingqi Jiang
Yue Zhao
OOD
41
295
0
19 Jun 2022
FiSH: Fair Spatial Hotspots
FiSH: Fair Spatial Hotspots
Deepak P
Sowmya S. Sundaram
27
1
0
01 Jun 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
488
0
31 Dec 2020
Towards Fair Deep Anomaly Detection
Towards Fair Deep Anomaly Detection
Hongjing Zhang
Ian Davidson
FaML
47
39
0
29 Dec 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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