Todd Kulesza

According to our database, Todd Kulesza authored at least 18 papers between 2008 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Toward Theory-Based End-User Software Engineering.

Margaret M. Burnett, Todd Kulesza, Alannah Oleson, Shannon Ernst, Laura Beckwith, Jill Cao, William Jernigan, Valentina Grigoreanu

Proceedings of the New Perspectives in End-User Development., 2017

2016

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, Todd Kulesza, Baptiste Caramiaux

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Principles of Explanatory Debugging to Personalize Interactive Machine Learning.

Todd Kulesza, Margaret M. Burnett, Weng-Keen Wong, Simone Stumpf

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

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

Power to the People: The Role of Humans in Interactive Machine Learning.

Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza

AI Mag., 2014

Structured labeling for facilitating concept evolution in machine learning.

Todd Kulesza, Saleema Amershi, Rich Caruana, Danyel Fisher, Denis Xavier Charles

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2013

Too much, too little, or just right? Ways explanations impact end users' mental models.

Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Sherry Yang, Irwin Kwan, Weng-Keen Wong

Proceedings of the 2013 IEEE Symposium on Visual Languages and Human Centric Computing, 2013

IUI workshop on interactive machine learning.

Saleema Amershi, Maya Cakmak, W. Bradley Knox, Todd Kulesza, Tessa Lau

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

2012

An explanation-centric approach for personalizing intelligent agents.

Todd Kulesza

Proceedings of the 17th International Conference on Intelligent User Interfaces, 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

Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

Tell me more?: the effects of mental model soundness on personalizing an intelligent agent.

Todd Kulesza, Simone Stumpf, Margaret M. Burnett, Irwin Kwan

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

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

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

Proceedings of the 2011 IEEE Symposium on Visual Languages and Human-Centric Computing, 2011

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

Proceedings of the End-User Development - Third International Symposium, 2011

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

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010

Toward End-User Debugging of Machine-Learned Classifiers.

Todd Kulesza

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2010

2009

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

Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

2008

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

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2008