| A unifying view on dataset shift in classification JG Moreno-Torres, T Raeder, R Alaiz-Rodríguez, NV Chawla, F Herrera Pattern recognition 45 (1), 521-530, 2012 | 1504 | 2012 |
| Machine learning for targeted display advertising: Transfer learning in action C Perlich, B Dalessandro, T Raeder, O Stitelman, F Provost Machine learning 95 (1), 103-127, 2014 | 281 | 2014 |
| Bid optimizing and inventory scoring in targeted online advertising C Perlich, B Dalessandro, R Hook, O Stitelman, T Raeder, F Provost Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 241 | 2012 |
| Market basket analysis with networks T Raeder, NV Chawla Social network analysis and mining 1 (2), 97-113, 2011 | 162 | 2011 |
| ProtoMol, an object-oriented framework for prototyping novel algorithms for molecular dynamics T Matthey, T Cickovski, S Hampton, A Ko, Q Ma, M Nyerges, T Raeder, ... ACM Transactions on Mathematical Software (TOMS) 30 (3), 237-265, 2004 | 140 | 2004 |
| Predictors of short-term decay of cell phone contacts in a large scale communication network T Raeder, O Lizardo, D Hachen, NV Chawla Social Networks 33 (4), 245-257, 2011 | 119 | 2011 |
| Learning from imbalanced data: Evaluation matters T Raeder, G Forman, NV Chawla Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering …, 2012 | 102 | 2012 |
| Scalable hands-free transfer learning for online advertising B Dalessandro, D Chen, T Raeder, C Perlich, M Han Williams, F Provost Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 61 | 2014 |
| Design principles of massive, robust prediction systems T Raeder, O Stitelman, B Dalessandro, C Perlich, F Provost Proceedings of the 18th ACM SIGKDD international conference on knowledge …, 2012 | 59 | 2012 |
| Consequences of variability in classifier performance estimates T Raeder, TR Hoens, NV Chawla 2010 IEEE International Conference on Data Mining, 421-430, 2010 | 42 | 2010 |
| Modeling a store's product space as a social network T Raeder, NV Chawla 2009 International conference on advances in social network analysis and …, 2009 | 40 | 2009 |
| Using co-visitation networks for detecting large scale online display advertising exchange fraud O Stitelman, C Perlich, B Dalessandro, R Hook, T Raeder, F Provost Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 33 | 2013 |
| Scalable supervised dimensionality reduction using clustering T Raeder, C Perlich, B Dalessandro, O Stitelman, F Provost Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 19 | 2013 |
| User generated content consumption and social networking in knowledge-sharing OSNs JT Lussier, T Raeder, NV Chawla International Conference on Social Computing, Behavioral Modeling, and …, 2010 | 19 | 2010 |
| Bigger is better, but at what cost? estimating the economic value of incremental data assets B Dalessandro, C Perlich, T Raeder Big data 2 (2), 87-96, 2014 | 15 | 2014 |
| Model Monitor (M2): Evaluating, Comparing, and Monitoring Models T Raeder, NV Chawla The Journal of Machine Learning Research 10, 1387-1390, 2009 | 10 | 2009 |
| Privacy-preserving network aggregation T Raeder, M Blanton, NV Chawla, K Frikken Pacific-Asia Conference on Knowledge Discovery and Data Mining, 198-207, 2010 | 6 | 2010 |
| Digging up the Dirt on User Generated Content Consumption. JT Lussier, T Raeder, NV Chawla COMAD, 155, 2010 | 6 | 2010 |
| Using Co-Visitation Networks For Classifying Non-Intentional Traffic O Stitelman, C Perlich, B Dalessandro, R Hook, T Raeder, F Provost online], Retrieved from the internet:, Copyright, 2013 | 5 | 2013 |
| Machine learning for targeted display advertising: Transfer learning in action B Dalessandro, F Provost, T Raeder, C Perlich, O Stitelman | 3 | 2013 |
