| 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 | 1240 | 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 | 264 | 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 | 221 | 2012 |
| Market basket analysis with networks T Raeder, NV Chawla Social network analysis and mining 1, 97-113, 2011 | 147 | 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 | 135 | 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 | 111 | 2011 |
| Learning from imbalanced data: Evaluation matters T Raeder, G Forman, NV Chawla Data Mining: Foundations and Intelligent Paradigms: Volume 1: Clustering
, 2012 | 93 | 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 | 60 | 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 | 58 | 2012 |
| Consequences of variability in classifier performance estimates T Raeder, TR Hoens, NV Chawla 2010 IEEE International Conference on Data Mining, 421-430, 2010 | 39 | 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 | 38 | 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 | 31 | 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 | 17 | 2013 |
| User generated content consumption and social networking in knowledge-sharing OSNs JT Lussier, T Raeder, NV Chawla Advances in Social Computing: Third International Conference on Social
, 2010 | 17 | 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 | 16 | 2014 |
| Model Monitor (M2): Evaluating, Comparing, and Monitoring Models T Raeder, NV Chawla The Journal of Machine Learning Research 10, 1387-1390, 2009 | 9 | 2009 |
| Privacy-preserving network aggregation T Raeder, M Blanton, NV Chawla, K Frikken Advances in Knowledge Discovery and Data Mining: 14th Pacific-Asia
, 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 |
| Digging up the Dirt on User Generated Content Consumption. JT Lussier, T Raeder, NV Chawla COMAD, 155, 2010 | 4 | 2010 |
| Optimizing classifiers for hypothetical scenarios RA Johnson, T Raeder, NV Chawla Pacific-Asia Conference on Knowledge Discovery and Data Mining, 264-276, 2015 | 2 | 2015 |
