| 2011 |
|---|
| 27 | Emerging topic detection using dictionary learning. Shiva Prasad Kasiviswanathan, Prem Melville, Arindam Banerjee, Vikas Sindhwani. CIKM 2011, 745-754. Web SearchBibTeXDownload |
| 26 | Supervised Rank Aggregation for Predicting Influence in Networks. Karthik Subbian, Prem Melville. CoRR (abs/1108.4801) (2011). Web SearchBibTeXDownload |
| 25 | Concept Labeling: Building Text Classifiers with Minimal Supervision. Vijil Chenthamarakshan, Prem Melville, Vikas Sindhwani, Richard D. Lawrence. IJCAI 2011, 1225-1230. Web SearchBibTeXDownload |
| 24 | Supervised Rank Aggregation for Predicting Influencers in Twitter. Karthik Subbian, Prem Melville. SocialCom/PASSAT 2011, 661-665. Web SearchBibTeXDownload |
| 2010 |
|---|
| 23 | 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 |
| 22 | A Unified Approach to Active Dual Supervision for Labeling Features and Examples. Josh Attenberg, Prem Melville, Foster J. Provost. ECML/PKDD (1) 2010, 40-55. Web SearchBibTeXDownload |
| 21 | Recommender Systems. Bamshad Mobasher, Vikas Sindhwani, Francesco Ricci. Encyclopedia of Machine Learning 2010, 829-838. Web SearchBibTeXDownload |
| 20 | Optimizing debt collections using constrained reinforcement learning. Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier. KDD 2010, 75-84. Web SearchBibTeXDownload |
| 2009 |
|---|
| 19 | Uncertainty sampling and transductive experimental design for active dual supervision. Vikas Sindhwani, Prem Melville, Richard D. Lawrence. ICML 2009, 120. Web SearchBibTeXDownload |
| 18 | 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 |
| 17 | Sentiment analysis of blogs by combining lexical knowledge with text classification. Prem Melville, Wojciech Gryc, Richard D. Lawrence. KDD 2009, 1275-1284. Web SearchBibTeXDownload |
| 16 | Active Feature-Value Acquisition. Maytal Saar-Tsechansky, Prem Melville, Foster J. Provost. Management Science (55): 664-684 (2009). Web SearchBibTeXDownload |
| 2008 |
|---|
| 15 | Document-Word Co-regularization for Semi-supervised Sentiment Analysis. Vikas Sindhwani, Prem Melville. ICDM 2008, 1025-1030. Web SearchBibTeXDownload |
| 14 | Customer targeting models using actively-selected web content. Prem Melville, Saharon Rosset, Richard D. Lawrence. KDD 2008, 946-953. Web SearchBibTeXDownload |
| 13 | Using predictive analysis to improve invoice-to-cash collection. Sai Zeng, Prem Melville, Christian A. Lang, Ioana M. Boier-Martin, Conrad Murphy. KDD 2008, 1043-1050. Web SearchBibTeXDownload |
| 12 | 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 |
|---|
| 11 | Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce. Foster J. Provost, Prem Melville, Maytal Saar-Tsechansky. ICEC 2007, 389-398. Web SearchBibTeXDownload |
| 2005 |
|---|
| 10 | Active Learning for Probability Estimation Using Jensen-Shannon Divergence. Prem Melville, Stewart M. Yang, Maytal Saar-Tsechansky, Raymond J. Mooney. ECML 2005, 268-279. Web SearchBibTeXDownload |
| 9 | Combining Bias and Variance Reduction Techniques for Regression Trees. Yuk Lai Suen, Prem Melville, Raymond J. Mooney. ECML 2005, 741-749. Web SearchBibTeXDownload |
| 8 | An Expected Utility Approach to Active Feature-Value Acquisition. Prem Melville, Foster J. Provost, Raymond J. Mooney. ICDM 2005, 745-748. Web SearchBibTeXDownload |
| 7 | Creating diversity in ensembles using artificial data. Prem Melville, Raymond J. Mooney. Information Fusion (6): 99-111 (2005). Web SearchBibTeXDownload |
| 2004 |
|---|
| 6 | Active Feature-Value Acquisition for Classifier Induction. Prem Melville, Maytal Saar-Tsechansky, Foster J. Provost, Raymond J. Mooney. ICDM 2004, 483-486. Web SearchBibTeXDownload |
| 5 | Diverse ensembles for active learning. Prem Melville, Raymond J. Mooney. ICML 2004. Web SearchBibTeXDownload |
| 4 | Experiments on Ensembles with Missing and Noisy Data. Prem Melville, Nishit Shah, Lilyana Mihalkova, Raymond J. Mooney. Multiple Classifier Systems 2004, 293-302. Web SearchBibTeXDownload |
| 2003 |
|---|
| 3 | Constructing Diverse Classifier Ensembles using Artificial Training Examples. Prem Melville, Raymond J. Mooney. IJCAI 2003, 505-512. Web SearchBibTeX |
| 2002 |
|---|
| 2 | Content-Boosted Collaborative Filtering for Improved Recommendations. Prem Melville, Raymond J. Mooney, Ramadass Nagarajan. AAAI/IAAI 2002, 187-192. Web SearchBibTeX |
| 1 | Natural Language Assistant: A Dialog System for Online Product Recommendation. Joyce Yue Chai, Veronika Horvath, Nicolas Nicolov, Margo Stys, Nanda Kambhatla, Wlodek Zadrozny, Prem Melville. AI Magazine (23): 63-76 (2002). Web SearchBibTeXDownload |
