Can feature design reduce the gender gap in end-user software development environments? - Valentina Grigoreanu; Jill Cao; Todd Kulesza; Christopher Bogart; Kyle Rector; Margaret M. Burnett; Susan Wiedenbeck (VL/HCC, 2008)

Fixing the program my computer learned: barriers for end users, challenges for the machine. - Todd Kulesza; Weng-Keen Wong; Simone Stumpf; Stephen Perona; Rachel White; Margaret M. Burnett; Ian Oberst; Amy J. Ko (IUI, 2009)

Toward End-User Debugging of Machine-Learned Classifiers. - Todd Kulesza (VL/HCC, 2010)

Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs. - Todd Kulesza; Simone Stumpf; Margaret M. Burnett; Weng-Keen Wong; Yann Riche; Travis Moore; Ian Oberst; Amber Shinsel; Kevin McIntosh (VL/HCC, 2010)

Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. - Todd Kulesza; Margaret M. Burnett; Simone Stumpf; Weng-Keen Wong; Shubhomoy Das; Alex Groce; Amber Shinsel; Forrest Bice; Kevin McIntosh (IS-EUD, 2011)

Mini-crowdsourcing end-user assessment of intelligent assistants: A cost-benefit study. - Amber Shinsel; Todd Kulesza; Margaret M. Burnett; William Curran; Alex Groce; Simone Stumpf; Weng-Keen Wong (VL/HCC, 2011)

Why-oriented end-user debugging of naive Bayes text classification. - Todd Kulesza; Simone Stumpf; Weng-Keen Wong; Margaret M. Burnett; Stephen Perona; Amy J. Ko; Ian Oberst (ACM Trans. Interact. Intell. Syst., 2011)

Tell me more?: the effects of mental model soundness on personalizing an intelligent agent. - Todd Kulesza; Simone Stumpf; Margaret M. Burnett; Irwin Kwan (CHI, 2012)

Towards recognizing "cool": can end users help computer vision recognize subjective attributes of objects in images? - William Curran; Travis Moore; Todd Kulesza; Weng-Keen Wong; Sinisa Todorovic; Simone Stumpf; Rachel White; Margaret M. Burnett (IUI, 2012)

An explanation-centric approach for personalizing intelligent agents. - Todd Kulesza (IUI, 2012)

IUI workshop on interactive machine learning. - Saleema Amershi; Maya Cakmak; W. Bradley Knox; Todd Kulesza; Tessa Lau (IUI Companion, 2013)

Too much, too little, or just right? Ways explanations impact end users' mental models. - Todd Kulesza; Simone Stumpf; Margaret M. Burnett; Sherry Yang 002; Irwin Kwan; Weng-Keen Wong (VL/HCC, 2013)

Structured labeling for facilitating concept evolution in machine learning. - Todd Kulesza; Saleema Amershi; Rich Caruana; Danyel Fisher; Denis Xavier Charles (CHI, 2014)

Power to the People: The Role of Humans in Interactive Machine Learning. - Saleema Amershi; Maya Cakmak; W. Bradley Knox; Todd Kulesza (AI Mag., 2014)

You Are the Only Possible Oracle: Effective Test Selection for End Users of Interactive Machine Learning Systems. - Alex Groce; Todd Kulesza; Chaoqiang Zhang; Shalini Shamasunder; Margaret M. Burnett; Weng-Keen Wong; Simone Stumpf; Shubhomoy Das; Amber Shinsel; Forrest Bice; Kevin McIntosh (IEEE Trans. Software Eng., 2014)

Principles of Explanatory Debugging to Personalize Interactive Machine Learning. - Todd Kulesza; Margaret M. Burnett; Weng-Keen Wong; Simone Stumpf (IUI, 2015)

Human-Centred Machine Learning. - 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; et al. (CHI Extended Abstracts, 2016)

Toward Theory-Based End-User Software Engineering. - Margaret M. Burnett; Todd Kulesza; Alannah Oleson; Shannon Ernst; Laura Beckwith; Jill Cao; William Jernigan; Valentina Grigoreanu (New Perspectives in End-User Development, 2017)