| 2011 |
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| 22 | Latent graphical models for quantifying and predicting patent quality. Yan Liu, Pei-yun Hseuh, Rick Lawrence, Steve Meliksetian, Claudia Perlich, Alejandro Veen. KDD 2011, 1145-1153. Web SearchBibTeXDownload |
| 21 | Leakage in data mining: formulation, detection, and avoidance. Shachar Kaufman, Saharon Rosset, Claudia Perlich. KDD 2011, 556-563. Web SearchBibTeXDownload |
| 2010 |
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| 20 | Medical data mining: insights from winning two competitions. Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu. Data Min. Knowl. Discov. (20): 439-468 (2010). Web SearchBibTeXDownload |
| 19 | Learning Curves in Machine Learning. Claudia Perlich. Encyclopedia of Machine Learning 2010, 577-580. Web SearchBibTeXDownload |
| 18 | Operations Research Improves Sales Force Productivity at IBM. Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom Weiss, Matt Callahan, Matt Collins, Alexey Ershov, Shiva Kumar. Interfaces (40): 33-46 (2010). Web SearchBibTeXDownload |
| 17 | On cross-validation and stacking: building seemingly predictive models on random data. Claudia Perlich, Grzegorz Swirszcz. SIGKDD Explorations (12): 11-15 (2010). Web SearchBibTeXDownload |
| 2009 |
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| 16 | Modeling Quantiles. Claudia Perlich, Saharon Rosset, Bianca Zadrozny. Encyclopedia of Data Warehousing and Mining 2009, 1324-1329. Web SearchBibTeXDownload |
| 15 | Winning the KDD Cup Orange Challenge with Ensemble Selection. Alexandru Niculescu-Mizil, Claudia Perlich, Grzegorz Swirszcz, Vikas Sindhwani, Yan Liu, Prem Melville, Dong Wang, Jing Xiao, Jianying Hu, Moninder Singh, Wei Xiong Shang, Yan Feng Zhu. Journal of Machine Learning Research - Proceedings Track (7): 23-34 (2009). Web SearchBibTeXDownload |
| 14 | Spatial-temporal causal modeling for climate change attribution. Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe. KDD 2009, 587-596. Web SearchBibTeXDownload |
| 2008 |
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| 13 | Breast cancer identification: KDD CUP winner's report. Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset. SIGKDD Explorations (10): 39-42 (2008). Web SearchBibTeXDownload |
| 2007 |
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| 12 | Analytics-driven solutions for customer targeting and sales-force allocation. Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss. IBM Systems Journal (46): 797-816 (2007). Web SearchBibTeXDownload |
| 11 | High-quantile modeling for customer wallet estimation and other applications. Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny. KDD 2007, 977-985. Web SearchBibTeXDownload |
| 10 | Ranking-based evaluation of regression models. Saharon Rosset, Claudia Perlich, Bianca Zadrozny. Knowl. Inf. Syst. (12): 331-353 (2007). Web SearchBibTeXDownload |
| 9 | Identifying Bundles of Product Options using Mutual Information Clustering. Claudia Perlich, Saharon Rosset. SDM 2007. Web SearchBibTeXDownload |
| 8 | Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. Saharon Rosset, Claudia Perlich, Yan Liu. SIGKDD Explorations (9): 66-69 (2007). Web SearchBibTeXDownload |
| 7 | Looking for Great Ideas: Analyzing the Innovation Jam. Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy, Saharon Rosset. WebKDD/SNA-KDD 2007, 21-39. Web SearchBibTeXDownload |
| 2006 |
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| 6 | A new multi-view regression approach with an application to customer wallet estimation. Srujana Merugu, Saharon Rosset, Claudia Perlich. KDD 2006, 656-661. Web SearchBibTeXDownload |
| 5 | Distribution-based aggregation for relational learning with identifier attributes. Claudia Perlich, Foster J. Provost. Machine Learning (62): 65-105 (2006). Web SearchBibTeXDownload |
| 2005 |
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| 4 | Ranking-Based Evaluation of Regression Models. Saharon Rosset, Claudia Perlich, Bianca Zadrozny. ICDM 2005, 370-377. Web SearchBibTeXDownload |
| 2003 |
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| 3 | Tree Induction vs. Logistic Regression: A Learning-Curve Analysis. Claudia Perlich, Foster J. Provost, Jeffrey S. Simonoff. Journal of Machine Learning Research (4): 211-255 (2003). Web SearchBibTeXDownload |
| 2 | Aggregation-based feature invention and relational concept classes. Claudia Perlich, Foster J. Provost. KDD 2003, 167-176. Web SearchBibTeXDownload |
| 1 | Predicting citation rates for physics papers: constructing features for an ordered probit model. Claudia Perlich, Foster J. Provost, Sofus A. Macskassy. SIGKDD Explorations (5): 154-155 (2003). Web SearchBibTeXDownload |
