| Elements of artificial neural networks K Mehrotra, CK Mohan, S Ranka MIT press, 1997 | 1508 | 1997 |
| Forecasting the behavior of multivariate time series using neural networks K Chakraborty, K Mehrotra, CK Mohan, S Ranka Neural networks 5 (6), 961-970, 1992 | 718 | 1992 |
| Efficient classification for multiclass problems using modular neural networks R Anand, K Mehrotra, CK Mohan, S Ranka IEEE transactions on Neural Networks 6 (1), 117-124, 1995 | 541 | 1995 |
| An improved algorithm for neural network classification of imbalanced training sets R Anand, KG Mehrotra, CK Mohan, S Ranka IEEE Transactions on Neural Networks 4 (6), 962-969, 1993 | 312 | 1993 |
| Characterization of a class of sigmoid functions with applications to neural networks A Menon, K Mehrotra, CK Mohan, S Ranka Neural networks 9 (5), 819-835, 1996 | 179 | 1996 |
| Anomaly detection principles and algorithms KG Mehrotra, CK Mohan, HM Huang Springer International Publishing, 2017 | 163 | 2017 |
| Application of information theory to the construction of efficient decision trees C Hartmann, P Varshney, K Mehrotra, C Gerberich IEEE Transactions on information theory 28 (4), 565-577, 1982 | 157 | 1982 |
| Parallel biological sequence comparison using prefix computations S Aluru, N Futamura, K Mehrotra Journal of Parallel and Distributed Computing 63 (3), 264-272, 2003 | 131 | 2003 |
| Bounds on the number of samples needed for neural learning KG Mehrotra, CK Mohan, S Ranka | 122 | 1980 |
| Genetic algorithms for graph partitioning and incremental graph partitioning H Maini, K Mehrotra, C Mohan, S Ranka Supercomputing'94: Proceedings of the 1994 ACM/IEEE conference on …, 1994 | 86 | 1994 |
| Multi-objective mobile agent routing in wireless sensor networks R Rajagopalan, CK Mohan, P Varshney, K Mehrotra 2005 IEEE Congress on Evolutionary Computation 2, 1730-1737, 2005 | 85 | 2005 |
| Unbiased estimation of parameters by order statistics in the case of censored samples KG Mehrotra, P Nanda Biometrika, 601-606, 1974 | 77 | 1974 |
| Locally most powerful rank tests for the two-sample problem with censored data RA Johnson, KG Mehrotra The Annals of Mathematical Statistics 43 (3), 823-831, 1972 | 73 | 1972 |
| Rank-based outlier detection H Huang, K Mehrotra, CK Mohan Journal of Statistical Computation and Simulation 83 (3), 518-531, 2013 | 72 | 2013 |
| A clustering-based discretization for supervised learning A Gupta, KG Mehrotra, C Mohan Statistics & probability letters 80 (9-10), 816-824, 2010 | 71 | 2010 |
| Sunspot numbers forecasting using neural networks M Li, K Mehrotra, C Mohan, S Ranka Proceedings. 5th IEEE International Symposium on Intelligent Control 1990 …, 1990 | 66 | 1990 |
| Prediction criteria for successful weaning from respiratory support: statistical and connectionist analyses K Ashutosh, H Lee, CK Mohan, S Ranka, K Mehrotra, C Alexander | 63 | 1991 |
| Training techniques to obtain fault-tolerant neural networks CT Chin, K Mehrotra, CK Mohan, S Rankat Proceedings of IEEE 24th international symposium on fault-tolerant computing …, 1994 | 61 | 1994 |
| Performance prediction of distributed load balancing on multicomputer systems I Ahmad, A Ghafoor, K Mehrotra Proceedings of the 1991 ACM/IEEE conference on Supercomputing, 830-839, 1991 | 58 | 1991 |
| Modifying training algorithms for improved fault tolerance CT Chiu, K Mehrotra, CK Mohan, S Ranka Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 53 | 1994 |
Chilukuri MohanProfessor, Electrical Eng. & Computer Science, Syracuse Univ.Verified email at syr.edu
