| Incorporating diversity and density in active learning for relevance feedback Z Xu, R Akella, Y Zhang Advances in Information Retrieval: 29th European Conference on IR Research …, 2007 | 267 | 2007 |
| A bayesian logistic regression model for active relevance feedback Z Xu, R Akella Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 54 | 2008 |
| Active relevance feedback for difficult queries Z Xu, R Akella Proceedings of the 17th ACM conference on Information and knowledge …, 2008 | 41 | 2008 |
| Method and system for facilitating batch mode active learning Z Xu US Patent App. 12/773,348, 2010 | 36 | 2010 |
| A new probabilistic retrieval model based on the dirichlet compound multinomial distribution Z Xu, R Akella Proceedings of the 31st annual international ACM SIGIR conference on …, 2008 | 36 | 2008 |
| Improving probabilistic information retrieval by modeling burstiness of words Z Xu, R Akella Information processing & management 46 (2), 143-158, 2010 | 8 | 2010 |
| Greedy is not enough: An efficient batch mode active learning algorithm Z Xu, C Hogan, R Bauer 2009 IEEE International Conference on Data Mining Workshops, 326-331, 2009 | 7 | 2009 |
| Enabling the discovery of recurring anomalies in aerospace system problem reports using high-dimensional clustering techniques A Srivastava, R Akella, V Diev, SP Kumaresan, DM McIntosh, ... IEEE Aerospace Conference, 2006 | 7 | 2006 |
| Knowledge sciences in services automation: Integration models and perspectives for service centers R Akella, Z Xu, J Barajas, K Caballero 2009 IEEE International Conference on Automation Science and Engineering, 71-78, 2009 | 5 | 2009 |
