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)

End-User Feature Labeling via Locally Weighted Logistic Regression. - Weng-Keen Wong; Ian Oberst; Shubhomoy Das; Travis Moore; Simone Stumpf; Kevin McIntosh; Margaret M. Burnett (AAAI, 2011)

End-user feature labeling: a locally-weighted regression approach. - Weng-Keen Wong; Ian Oberst; Shubhomoy Das; Travis Moore; Simone Stumpf; Kevin McIntosh; Margaret M. Burnett (IUI, 2011)

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)

End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. - Shubhomoy Das; Travis Moore; Weng-Keen Wong; Simone Stumpf; Ian Oberst; Kevin McIntosh; Margaret M. Burnett (Artif. Intell., 2013)

Discovering Hotspots and Coldspots of Species Richness in eBird Data. - Travis Moore; Weng-Keen Wong (AAAI Workshop: Computational Sustainability, 2015)

An Efficient Quantile Spatial Scan Statistic for Finding Unusual Regions in Continuous Spatial Data with Covariates. - Travis Moore; Weng-Keen Wong (UAI, 2018)

The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time. - Travis Moore; Weng-Keen Wong (AISTATS, 2020)