| Minimum spanning tree partitioning algorithm for microaggregation M Laszlo, S Mukherjee IEEE Transactions on Knowledge and Data Engineering 17 (7), 902-911, 2005 | 293 | 2005 |
| A genetic algorithm that exchanges neighboring centers for k-means clustering M Laszlo, S Mukherjee Pattern Recognition Letters 28 (16), 2359-2366, 2007 | 210 | 2007 |
| A polynomial algorithm for optimal univariate microaggregation SL Hansen, S Mukherjee IEEE Transactions on Knowledge and Data Engineering 15 (4), 1043-1044, 2003 | 196 | 2003 |
| A genetic algorithm using hyper-quadtrees for low-dimensional k-means clustering M Laszlo, S Mukherjee IEEE transactions on pattern analysis and machine intelligence 28 (4), 533-543, 2006 | 164 | 2006 |
| Optimal disclosure limitation strategy in statistical databases: Deterring tracker attacks through additive noise GT Duncan, S Mukherjee Journal of the American Statistical Association 95 (451), 720-729, 2000 | 130 | 2000 |
| Deep networks for predicting direction of change in foreign exchange rates S Galeshchuk, S Mukherjee Intelligent Systems in Accounting, Finance and Management 24 (4), 100-110, 2017 | 112 | 2017 |
| Disclosure detection in multivariate categorical databases: Auditing confidentiality protection through two new matrix operators SD Chowdhury, GT Duncan, R Krishnan, SF Roehrig, S Mukherjee Management Science 45 (12), 1710-1723, 1999 | 67 | 1999 |
| Microdata disclosure limitation in statistical databases: Query sizeand random sample query control GT Duncan, S Mukherjee Proceedings. 1991 IEEE Computer Society Symposium on Research in Security …, 1991 | 45 | 1991 |
| Optimal univariate microaggregation with data suppression M Laszlo, S Mukherjee Journal of Systems and Software 86 (3), 677-682, 2013 | 17 | 2013 |
| Predicting" essential" genes across microbial genomes: A machine learning approach K Palaniappan, S Mukherjee 2011 10th International Conference on Machine Learning and Applications and …, 2011 | 17 | 2011 |
| Another greedy heuristic for the constrained forest problem M Laszlo, S Mukherjee Operations research letters 33 (6), 629-633, 2005 | 17 | 2005 |
| On the integration of data and mathematical modeling languages HK Bhargava, R Krishnan, S Mukherjee Annals of Operations Research 38 (1), 69-95, 1992 | 17 | 1992 |
| Deep learning for predictions in emerging currency markets S Galeshchuk, S Mukherjee International conference on agents and artificial intelligence 2, 681-686, 2017 | 16 | 2017 |
| Iterated local search for microaggregation M Laszlo, S Mukherjee Journal of Systems and Software 100, 15-26, 2015 | 14 | 2015 |
| Approximation bounds for minimum information loss microaggregation M Laszlo, S Mukherjee IEEE Transactions on Knowledge and Data Engineering 21 (11), 1643-1647, 2009 | 14 | 2009 |
| Machine learning methods for septic shock prediction A Darwiche, S Mukherjee Proceedings of the 2018 International Conference on Artificial Intelligence …, 2018 | 13 | 2018 |
| A class of heuristics for the constrained forest problem M Laszlo, S Mukherjee Discrete applied mathematics 154 (1), 6-14, 2006 | 12 | 2006 |
| A Bayesian framework to determine patient compliance in glaucoma cases R Korrapati, S Mukherjee, KV Chalam Proceedings of the AMIA Symposium, 1050, 2000 | 11 | 2000 |
| Forex trading strategy optimization S Galeshchuk, S Mukherjee Decision Economics: In the Tradition of Herbert A. Simon's Heritage …, 2018 | 10 | 2018 |
| Disclosure limitation through additive noise data masking: Analysis of skewed sensitive data S Mukherjee, GT Duncan Proceedings of the Thirtieth Hawaii International Conference on System …, 1997 | 10 | 1997 |
