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Interpretable Machine Learning Models for the Digital Clock Drawing Test

Interpretable Machine Learning Models for the Digital Clock Drawing Test

23 June 2016
William Souillard-Mandar
Randall Davis
Cynthia Rudin
R. Au
Dana L. Penney
ArXiv (abs)PDFHTML

Papers citing "Interpretable Machine Learning Models for the Digital Clock Drawing Test"

4 / 4 papers shown
DemSelf, a Mobile App for Self-Administered Touch-Based Cognitive
  Screening: Participatory Design With Stakeholders
DemSelf, a Mobile App for Self-Administered Touch-Based Cognitive Screening: Participatory Design With StakeholdersInteracción (HCII), 2021
Martin Burghart
J. L. O’Sullivan
R. Spang
Jan-Niklas Voigt-Antons
86
1
0
19 Feb 2021
Absolute Value Constraint: The Reason for Invalid Performance Evaluation
  Results of Neural Network Models for Stock Price Prediction
Absolute Value Constraint: The Reason for Invalid Performance Evaluation Results of Neural Network Models for Stock Price Prediction
Yi Wei
214
1
0
10 Jan 2021
Explanations of Black-Box Model Predictions by Contextual Importance and
  Utility
Explanations of Black-Box Model Predictions by Contextual Importance and Utility
S. Anjomshoae
Kary Främling
A. Najjar
162
38
0
30 May 2020
A categorisation and implementation of digital pen features for
  behaviour characterisation
A categorisation and implementation of digital pen features for behaviour characterisation
Alexander Prange
Michael Barz
Daniel Sonntag
42
10
0
01 Oct 2018
1
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