ProtoMol, an object-oriented framework for prototyping novel algorithms for molecular dynamics. - Thierry Matthey; Trevor M. Cickovski; Scott S. Hampton; Alice Ko; Qun Ma; Matthew Nyerges; Troy Raeder; Thomas Slabach; Jesús A. Izaguirre (ACM Trans. Math. Softw., 2004)

Modeling a Store's Product Space as a Social Network. - Troy Raeder; Nitesh V. Chawla (ASONAM, 2009)

Model Monitor (M2): Evaluating, Comparing, and Monitoring Models. - Troy Raeder; Nitesh V. Chawla (J. Mach. Learn. Res., 2009)

Digging up the Dirt on User Generated Content Consumption. - Jake T. Lussier; Troy Raeder; Nitesh V. Chawla (COMAD, 2010)

Consequences of Variability in Classifier Performance Estimates. - Troy Raeder; T. Ryan Hoens; Nitesh V. Chawla (ICDM, 2010)

Privacy-Preserving Network Aggregation. - Troy Raeder; Marina Blanton; Nitesh V. Chawla; Keith B. Frikken (PAKDD (1), 2010)

User Generated Content Consumption and Social Networking in Knowledge-Sharing OSNs. - Jake T. Lussier; Troy Raeder; Nitesh V. Chawla (SBP, 2010)

Market basket analysis with networks. - Troy Raeder; Nitesh V. Chawla (Soc. Netw. Anal. Min., 2011)

Predictors of short-term decay of cell phone contacts in a large scale communication network. - Troy Raeder; Omar Lizardo; David Hachen; Nitesh V. Chawla (Soc. Networks, 2011)

Bid optimizing and inventory scoring in targeted online advertising. - Claudia Perlich; Brian Dalessandro; Rod Hook; Ori Stitelman; Troy Raeder; Foster J. Provost (KDD, 2012)

Design principles of massive, robust prediction systems. - Troy Raeder; Ori Stitelman; Brian Dalessandro; Claudia Perlich; Foster J. Provost (KDD, 2012)

A unifying view on dataset shift in classification. - Jose G. Moreno-Torres; Troy Raeder; Rocío Alaíz-Rodríguez; Nitesh V. Chawla; Francisco Herrera (Pattern Recognit., 2012)

Scalable supervised dimensionality reduction using clustering. - Troy Raeder; Claudia Perlich; Brian Dalessandro; Ori Stitelman; Foster J. Provost (KDD, 2013)

Using co-visitation networks for detecting large scale online display advertising exchange fraud. - Ori Stitelman; Claudia Perlich; Brian Dalessandro; Rod Hook; Troy Raeder; Foster J. Provost (KDD, 2013)

Scalable hands-free transfer learning for online advertising. - Brian Dalessandro; Daizhuo Chen; Troy Raeder; Claudia Perlich; Melinda Han Williams; Foster J. Provost (KDD, 2014)

Bigger is Better, but at What Cost?Estimating the Economic Value of Incremental Data Assets. - Brian Dalessandro; Claudia Perlich; Troy Raeder (Big Data, 2014)

Machine learning for targeted display advertising: transfer learning in action. - Claudia Perlich; Brian Dalessandro; Troy Raeder; Ori Stitelman; Foster J. Provost (Mach. Learn., 2014)

Optimizing Classifiers for Hypothetical Scenarios. - Reid A. Johnson; Troy Raeder; Nitesh V. Chawla (PAKDD (1), 2015)