Todd Kulesza

18 papers A* 2A 4B 5Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2017 — ch.
Toward Theory-Based End-User Software Engineering.
New Perspectives in End-User Development
Margaret M. Burnett, Todd Kulesza, Alannah Oleson, Shannon Ernst, Laura Beckwith, Jill Cao, William Jernigan, Valentina Grigoreanu
2016 — conf
Human-Centred Machine Learning.
CHI Extended Abstracts
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
2015 A conf
Principles of Explanatory Debugging to Personalize Interactive Machine Learning.
IUI
Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf
2014 J jnl
Power to the People: The Role of Humans in Interactive Machine Learning.
AI Mag.
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza
2014 A* conf
Structured labeling for facilitating concept evolution in machine learning.
CHI
Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Xavier Charles
2014 J jnl
You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems.
IEEE Trans. Software Eng.
Alex Groce, Todd Kulesza, Chaoqiang Zhang, Shalini Shamasunder, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf, Shubhomoy Das, Amber Shinsel, Forrest Bice, Kevin McIntosh
2013 — conf
IUI workshop on interactive machine learning.
IUI Companion
Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau
2013 B conf
Too much, too little, or just right? Ways explanations impact end users' mental models.
VL/HCC
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Sherry Yang, Irwin Kwan, Weng-Keen Wong
2012 A conf
An explanation-centric approach for personalizing intelligent agents.
IUI
Todd Kulesza
2012 A* conf
Tell me more?: the effects of mental model soundness on personalizing an intelligent agent.
CHI
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Irwin Kwan
2012 A conf
Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images?
IUI
William Curran, Travis Moore, Todd Kulesza, Weng-Keen Wong, Sinisa Todorovic, Simone Stumpf, Rachel White, Margaret M. Burnett
2011 B conf
Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study.
VL/HCC
Amber Shinsel, Todd Kulesza, Margaret M. Burnett, William Curran, Alex Groce, Simone Stumpf, Weng-Keen Wong
2011 — conf
Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach.
IS-EUD
Todd Kulesza, Margaret M. Burnett, Simone Stumpf, Weng-Keen Wong, Shubhomoy Das, Alex Groce, Amber Shinsel, Forrest Bice, Kevin McIntosh
2011 J jnl
Why-oriented end-user debugging of naive Bayes text classification.
ACM Trans. Interact. Intell. Syst.
Todd Kulesza, Simone Stumpf, Weng-Keen Wong, Margaret M. Burnett, Stephen Perona, Amy J. Ko, Ian Oberst
2010 B conf
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs.
VL/HCC
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Weng-Keen Wong, Yann Riche, Travis Moore, Ian Oberst, Amber Shinsel, Kevin McIntosh
2010 B conf
Toward End-User Debugging of Machine-Learned Classifiers.
VL/HCC
Todd Kulesza
2009 A conf
Fixing the program my computer learned: barriers for end users, challenges for the machine.
IUI
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Stephen Perona, Rachel White, Margaret M. Burnett, Ian Oberst, Amy J. Ko
2008 B conf
Can feature design reduce the gender gap in end-user software development environments?
VL/HCC
Valentina Grigoreanu, Jill Cao, Todd Kulesza, Christopher Bogart, Kyle Rector, Margaret M. Burnett, Susan Wiedenbeck