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2304.01429
Cited By
Learning from data with structured missingness
4 April 2023
R. Mitra
Sarah F. McGough
Tapabrata (Rohan) Chakraborty
Chris Holmes
Ryan Copping
Niels Hagenbuch
Stefanie Biedermann
Jack Noonan
B. Lehmann
Aditi Shenvi
X. V. Doan
David Leslie
G. Bianconi
Rubén J. Sánchez-García
Alisha Davies
M. Mackintosh
E. Andrinopoulou
A. Basiri
Chris Harbron
Ben D. MacArthur
CML
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Papers citing
"Learning from data with structured missingness"
8 / 8 papers shown
Title
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
Linglong Qian
Zina Ibrahim
Hugh Logan Ellis
Ao Zhang
Yuezhou Zhang
Tao Wang
Richard J. B. Dobson
AI4TS
26
2
0
27 Dec 2023
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Vincent Jeanselme
Maria De-Arteaga
Zhe Zhang
Jessica Barrett
Brian D. M. Tom
FaML
33
11
0
13 Aug 2022
Healthsheet: Development of a Transparency Artifact for Health Datasets
Negar Rostamzadeh
Diana Mincu
Subhrajit Roy
A. Smart
Lauren Wilcox
Mahima Pushkarna
Jessica Schrouff
Razvan Amironesei
Nyalleng Moorosi
Katherine A. Heller
37
62
0
26 Feb 2022
Contrastive Learning for Fair Representations
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
34
33
0
22 Sep 2021
What are higher-order networks?
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
106
275
0
20 Apr 2021
Understanding bias in facial recognition technologies
David Leslie
36
52
0
05 Oct 2020
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
B. Birnbaum
N. Nussbaum
Kathi Seidl-Rathkopf
Monica Agrawal
M. Estévez
Evan Estola
J. Haimson
Lucy He
Peter Larson
P. Richardson
OOD
21
207
0
13 Jan 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
207
1,895
0
06 Jun 2016
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