| Topics over time: a non-Markov continuous-time model of topical trends X Wang, A McCallum Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 1936 | 2006 |
| Learning to decode cognitive states from brain images TM Mitchell, R Hutchinson, RS Niculescu, F Pereira, X Wang, M Just, ... Machine learning 57 (1), 145-175, 2004 | 920 | 2004 |
| Topical n-grams: Phrase and topic discovery, with an application to information retrieval X Wang, A McCallum, X Wei Seventh IEEE international conference on data mining (ICDM 2007), 697-702, 2007 | 699 | 2007 |
| Topic and role discovery in social networks with experiments on enron and academic email A McCallum, X Wang, A Corrada-Emmanuel Journal of Artificial Intelligence Research 30, 249-272, 2007 | 637 | 2007 |
| Topic and role discovery in social networks A McCallum, A Corrada-Emmanuel, X Wang | 428 | 2005 |
| Dynamic Mixture Models for Multiple Time-Series. X Wei, J Sun, X Wang Ijcai 7, 2909-2914, 2007 | 177 | 2007 |
| Group and topic discovery from relations and text X Wang, N Mohanty, A McCallum Proceedings of the 3rd international workshop on Link discovery, 28-35, 2005 | 171 | 2005 |
| The author-recipient-topic model for topic and role discovery in social networks: Experiments with enron and academic email A McCallum, A Corrada-Emmanuel, X Wang Computer Science Department Faculty Publication Series, 44, 2005 | 153 | 2005 |
| Classifying instantaneous cognitive states from fMRI data TM Mitchell, R Hutchinson, MA Just, RS Niculescu, F Pereira, X Wang AMIA annual symposium proceedings 2003, 465, 2003 | 145 | 2003 |
| Multi-conditional learning: Generative/discriminative training for clustering and classification A McCallum, C Pal, G Druck, X Wang AAAI, 433-439, 2006 | 138 | 2006 |
| Training fMRI classifiers to detect cognitive states across multiple human subjects X Wang, R Hutchinson, TM Mitchell Advances in neural information processing systems 16, 2003 | 138 | 2003 |
| Exploitation and exploration in a performance based contextual advertising system W Li, X Wang, R Zhang, Y Cui, J Mao, R Jin Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 132 | 2010 |
| Group and topic discovery from relations and their attributes X Wang, N Mohanty, A McCallum Advances in Neural Information Processing Systems, 1449-1456, 2006 | 90 | 2006 |
| Click-through rate estimation for rare events in online advertising X Wang, W Li, Y Cui, R Zhang, J Mao Online Multimedia Advertising: Techniques and Technologies, 1-12, 2011 | 68 | 2011 |
| Joint group and topic discovery from relations and text A McCallum, X Wang, N Mohanty Statistical network analysis: Models, issues, and new directions, 28-44, 2007 | 59 | 2007 |
| A note on topical n-grams X Wang, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2005 | 50 | 2005 |
| System and Method for Automated Recommendation of Advertisement Targeting Attributes RB Zhang, Y Zhou, X Wang US Patent App. 12/965,711, 2012 | 44 | 2012 |
| Forecasting Ad Traffic Based on Business Metrics in Performance-based Display Advertising X Wang, RB Zhang US Patent App. 12/973,637, 2012 | 37 | 2012 |
| A search-based method for forecasting ad impression in contextual advertising X Wang, A Broder, M Fontoura, V Josifovski Proceedings of the 18th international conference on World wide web, 491-500, 2009 | 26 | 2009 |
| Using machine learning to detect cognitive states across multiple subjects X Wang, TM Mitchell, R Hutchinson CALD KDD project paper, 2003 | 22 | 2003 |
Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstAdresse e-mail validée de cs.umass.edu
