Login / Signup
Kevin McIntosh
Publication Activity (10 Years)
Years Active: 2010-2014
Publications (10 Years): 0
Top Topics
Locally Weighted
End Users
Logistic Regression
Naive Bayes
Top Venues
Artif. Intell.
IEEE Trans. Software Eng.
</>
Publications
</>
Alex Groce
,
Todd Kulesza
,
Chaoqiang Zhang
,
Shalini Shamasunder
,
Margaret M. Burnett
,
Weng-Keen Wong
,
Simone Stumpf
,
Shubhomoy Das
,
Amber Shinsel
,
Forrest Bice
,
Kevin McIntosh
You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.
IEEE Trans. Software Eng.
40 (3) (2014)
Shubhomoy Das
,
Travis Moore
,
Weng-Keen Wong
,
Simone Stumpf
,
Ian Oberst
,
Kevin McIntosh
,
Margaret M. Burnett
End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression.
Artif. Intell.
204 (2013)
Weng-Keen Wong
,
Ian Oberst
,
Shubhomoy Das
,
Travis Moore
,
Simone Stumpf
,
Kevin McIntosh
,
Margaret M. Burnett
End-User Feature Labeling via Locally Weighted Logistic Regression.
AAAI
(2011)
Weng-Keen Wong
,
Ian Oberst
,
Shubhomoy Das
,
Travis Moore
,
Simone Stumpf
,
Kevin McIntosh
,
Margaret M. Burnett
End-user feature labeling: a locally-weighted regression approach.
IUI
(2011)
Todd Kulesza
,
Margaret M. Burnett
,
Simone Stumpf
,
Weng-Keen Wong
,
Shubhomoy Das
,
Alex Groce
,
Amber Shinsel
,
Forrest Bice
,
Kevin McIntosh
Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.
IS-EUD
(2011)
Todd Kulesza
,
Simone Stumpf
,
Margaret M. Burnett
,
Weng-Keen Wong
,
Yann Riche
,
Travis Moore
,
Ian Oberst
,
Amber Shinsel
,
Kevin McIntosh
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs.
VL/HCC
(2010)