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Author Details
Full Name
Cynthia Rudin
Affiliation
Duke University
ORCID
0000-0003-4283-2780
Career Start Year
2012
Papers
28
H Index
9
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37563117
Applied machine learning as a driver for polymeric biomaterials design.
Nat Commun
2023
37662339
<i>How Many Patients Do You Need?</i> Investigating Trial Designs for Anti-Seizure Treatment in Acute Brain Injury Patients.
medRxiv
2023
37782786
Interpretable algorithmic forensics.
Proc Natl Acad Sci U S A
2023
37600123
Tensile performance data of 3D printed photopolymer gyroid lattices.
Data Brief
2023
36051654
Fast Sparse Decision Tree Optimization via Reference Ensembles.
Proc AAAI Conf Artif Intell
2022
37786624
Exploring the Whole Rashomon Set of Sparse Decision Trees.
Adv Neural Inf Process Syst
2022
35601052
Fast Sparse Classification for Generalized Linear and Additive Models.
Proc Mach Learn Res
2022
35853932
Towards a comprehensive evaluation of dimension reduction methods for transcriptomic data visualization.
Commun Biol
2022
35523713
Data solidarity for machine learning for embryo selection: a call for the creation of an open access repository of embryo data.
Reprod Biomed Online
2022
36970634
Fast Optimization of Weighted Sparse Decision Trees for use in Optimal Treatment Regimes and Optimal Policy Design.
CEUR Workshop Proc
2022
34794126
A supervised machine learning semantic segmentation approach for detecting artifacts in plethysmography signals from wearables.
Physiol Meas
2021
34938903
Interpretable, not black-box, artificial intelligence should be used for embryo selection.
Hum Reprod Open
2021
29741607
Modeling recovery curves with application to prostatectomy.
Biostatistics
2019
35603010
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead.
Nat Mach Intell
2019
34335110
All Models are Wrong, but <i>Many</i> are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously.
J Mach Learn Res
2019
31198908
Interpretable Almost-Exact Matching for Causal Inference.
Proc Mach Learn Res
2019
29374138
A Shared Vision for Machine Learning in Neuroscience.
J Neurosci
2018
28679220
Erratum: "Prediction uncertainty and optimal experimental design for learning dynamical systems" [Chaos 26, 063110 (2016)].
Chaos
2017
28384801
The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.
JAMA Psychiatry
2017
29052706
Association of an Electroencephalography-Based Risk Score With Seizure Probability in Hospitalized Patients.
JAMA Neurol
2017
27057085
Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test.
Mach Learn
2016
26350602
Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms.
J Clin Sleep Med
2016
27368775
Prediction uncertainty and optimal experimental design for learning dynamical systems.
Chaos
2016
27010978
A Computational Model of Inhibition of HIV-1 by Interferon-Alpha.
PLoS One
2016
27441407
A Bayesian Approach to Learning Scoring Systems.
Big Data
2015
27442842
Finding Patterns with a Rotten Core: Data Mining for Crime Series with Cores.
Big Data
2015
27442303
Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing.
Big Data
2014
21576741
Machine learning for the New York City power grid.
IEEE Trans Pattern Anal Mach Intell
2012
1 - 28 of 28
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