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Cynthia Rudin
Professor of Computer Science, ECE, and Statistics, Duke University
Rudin’s focus is interpretable machine learning.
https://users.cs.duke.edu/~cynthia/home.html
mezKJyoAAAAJ&hl=en
All Pubs (8)
Attributed Pubs (8)
Prediction, Machine Learning, and Individual Lives: An Interview With Matthew Salganik
by
Matthew J. Salganik
,
Lauren Maffeo
, and
Cynthia Rudin
MS
Published: Jul 30, 2020
An interview with Matthew Salganik by Larien Maffeo and Cynthia Rudin
The
Age
of Secrecy and Unfairness in Recidivism Prediction
by
Cynthia Rudin
,
Caroline Wang
, and
Beau Coker
CW
BC
Published: Mar 31, 2020
Connections
Commentaries (6):
Shawn D. Bushway
•
Alexandra Chouldechova
•
Sarah L. Desmarais
•
Brandon L. Garrett
•
Eugenie Jackson
& 1 other
•
Greg Ridgeway
Rejoinders (1):
Cynthia Rudin
& 2 others
Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson From an Explainable AI Competition
by
Cynthia Rudin
and
Joanna Radin
Published: Nov 22, 2019
Broader Issues Surrounding Model Transparency in Criminal Justice Risk Scoring
by
Cynthia Rudin
,
Caroline Wang
, and
Beau Coker
CW
BC
Published: Mar 31, 2020
Can a Computer Really Write Poetry?
by
Edwin Agnew
,
Lily Zhu
,
Sam Wiseman
, and
Cynthia Rudin
EA
SW
Published: Oct 27, 2022
The Importance of Being Ernest, Ekundayo, or Eswari: An Interpretable Machine Learning Approach to Name-Based Ethnicity Classification
by
Vaishali Jain
,
Ted Enamorado
, and
Cynthia Rudin
TE
Published: Jul 28, 2022
Data Scientists Discuss AI Risks and Opportunities
by
David Banks
,
Gerard de Melo
,
Sam (Xinwei) Gong
,
Yongchan Kwon
, and
Cynthia Rudin
GM
SG
YK
Published: Jul 31, 2024
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation From Wearables
by
Pranay Jain
,
Cheng Ding
,
Cynthia Rudin
, and
Xiao Hu
PJ
CD
XH
Published: Jul 31, 2024