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Todd Kulesza

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2010 – 2019

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2017
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Margaret M. Burnett, Todd Kulesza, Alannah Oleson, Shannon Ernst, Laura Beckwith, Jill Cao, William Jernigan, Valentina Grigoreanu:
Toward Theory-Based End-User Software Engineering. New Perspectives in End-User Development 2017: 231-268
2016
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Marco Gillies, Rebecca Fiebrink, Atau Tanaka, Jérémie Garcia, Frédéric Bevilacqua, Alexis Héloir, Fabrizio Nunnari, Wendy E. Mackay, Saleema Amershi, Bongshin Lee, Nicolas D'Alessandro, Joëlle Tilmanne, Todd Kulesza, Baptiste Caramiaux:
Human-Centred Machine Learning. CHI Extended Abstracts 2016: 3558-3565
2015
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Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf:
Principles of Explanatory Debugging to Personalize Interactive Machine Learning. IUI 2015: 126-137
2014
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Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza:
Power to the People: The Role of Humans in Interactive Machine Learning. AI Mag. 35(4): 105-120 (2014)
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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): 307-323 (2014)
[c12]
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Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Xavier Charles:
Structured labeling for facilitating concept evolution in machine learning. CHI 2014: 3075-3084
2013
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Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau:
IUI workshop on interactive machine learning. IUI Companion 2013: 121-124
[c10]
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Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Sherry Yang, Irwin Kwan, Weng-Keen Wong:
Too much, too little, or just right? Ways explanations impact end users' mental models. VL/HCC 2013: 3-10
2012
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Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Irwin Kwan:
Tell me more?: the effects of mental model soundness on personalizing an intelligent agent. CHI 2012: 1-10
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William Curran, Travis Moore, Todd Kulesza, Weng-Keen Wong, Sinisa Todorovic, Simone Stumpf, Rachel White, Margaret M. Burnett:
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? IUI 2012: 285-288
[c7]
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Todd Kulesza:
An explanation-centric approach for personalizing intelligent agents. IUI 2012: 375-378
2011
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Todd Kulesza, Simone Stumpf, Weng-Keen Wong, Margaret M. Burnett, Stephen Perona, Amy J. Ko, Ian Oberst:
Why-oriented end-user debugging of naive Bayes text classification. ACM Trans. Interact. Intell. Syst. 1(1): 2:1-2:31 (2011)
[c6]
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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: 171-186
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Amber Shinsel, Todd Kulesza, Margaret M. Burnett, William Curran, Alex Groce, Simone Stumpf, Weng-Keen Wong:
Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study. VL/HCC 2011: 47-54
2010
[c4]
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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: 41-48
[c3]
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Todd Kulesza:
Toward End-User Debugging of Machine-Learned Classifiers. VL/HCC 2010: 253-254

2000 – 2009

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2009
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Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Stephen Perona, Rachel White, Margaret M. Burnett, Ian Oberst, Amy J. Ko:
Fixing the program my computer learned: barriers for end users, challenges for the machine. IUI 2009: 187-196
2008
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Valentina Grigoreanu, Jill Cao, Todd Kulesza, Christopher Bogart, Kyle Rector, Margaret M. Burnett, Susan Wiedenbeck:
Can feature design reduce the gender gap in end-user software development environments? VL/HCC 2008: 149-156

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