| Data Clustering: algorithms and applications CC Aggarwal, CK Reddy CRC press, 2014 | 2935* | 2014 |
| A survey on platforms for big data analytics D Singh, CK Reddy Journal of Big Data 2 (1), 1-20, 2014 | 579 | 2014 |
| Machine learning for survival analysis: A survey P Wang, Y Li, CK Reddy ACM Computing Surveys (CSUR) 51 (6), 1-36, 2019 | 495 | 2019 |
| Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization J Choo, C Lee, CK Reddy, H Park IEEE transactions on visualization and computer graphics 19 (12), 1992-2001, 2013 | 342 | 2013 |
| Big data analytics for healthcare J Sun, C Reddy KDD Tutorial, 2013 | 269* | 2013 |
| Deep reinforcement learning for sequence-to-sequence models Y Keneshloo, T Shi, N Ramakrishnan, CK Reddy IEEE transactions on neural networks and learning systems 31 (7), 2469-2489, 2019 | 217 | 2019 |
| Neural abstractive text summarization with sequence-to-sequence models T Shi, Y Keneshloo, N Ramakrishnan, CK Reddy ACM Transactions on Data Science 2 (1), 1-37, 2021 | 191 | 2021 |
| Short-text topic modeling via non-negative matrix factorization enriched with local word-context correlations T Shi, K Kang, J Choo, CK Reddy Proceedings of the 2018 World Wide Web Conference, 1105-1114, 2018 | 186 | 2018 |
| A survey of partitional and hierarchical clustering algorithms CK Reddy, B Vinzamuri Data clustering, 87-110, 2018 | 168 | 2018 |
| A multi-task learning formulation for survival analysis Y Li, J Wang, J Ye, CK Reddy Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 159 | 2016 |
| Survival analysis based framework for early prediction of student dropouts S Ameri, MJ Fard, RB Chinnam, CK Reddy Proceedings of the 25th ACM international on conference on information and …, 2016 | 143 | 2016 |
| Healthcare data analytics CK Reddy, CC Aggarwal CRC Press, 2015 | 140 | 2015 |
| Mobile face capture and image processing system and method F Biocca, J Rolland, G Stockman, C Reddy, M Figueroa US Patent App. 10/914,621, 2005 | 136 | 2005 |
| Scalable and Parallel Boosting with MapReduce I Palit, CK Reddy Knowledge and Data Engineering, IEEE Transactions on 24 (10), 1904-1916, 2012 | 131 | 2012 |
| Project success prediction in crowdfunding environments Y Li, V Rakesh, CK Reddy Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 121 | 2016 |
| Optimizing debt collections using constrained reinforcement learning N Abe, P Melville, C Pendus, CK Reddy, DL Jensen, VP Thomas, ... Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 118 | 2010 |
| A probabilistic model for predicting the probability of no-show in hospital appointments A Alaeddini, K Yang, C Reddy, S Yu Health Care Management Science, 1-12, 2011 | 106 | 2011 |
| Transfer learning for class imbalance problems with inadequate data S Al-Stouhi, CK Reddy Knowledge and information systems 48, 201-228, 2016 | 104 | 2016 |
| A distributed ensemble approach for mining healthcare data under privacy constraints Y Li, C Bai, CK Reddy Information sciences 330, 245-259, 2016 | 97 | 2016 |
| Adaptive boosting for transfer learning using dynamic updates S Al-Stouhi, C Reddy Machine Learning and Knowledge Discovery in Databases, 60-75, 2011 | 97 | 2011 |
