| A review on application of data mining techniques to combat natural disasters S Goswami, S Chakraborty, S Ghosh, A Chakrabarti, B Chakraborty Ain Shams Engineering Journal 9 (3), 365-378, 2018 | 212 | 2018 |
| Fuzzy set theoretic measure for automatic feature evaluation SK Pal, B Chakraborty IEEE Transactions on Systems, Man, and Cybernetics 16 (5), 754-760, 1986 | 129 | 1986 |
| Genetic algorithm with fuzzy fitness function for feature selection B Chakraborty Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE …, 2002 | 93 | 2002 |
| Predicting the risk of chronic kidney disease (ckd) using machine learning algorithm W Wang, G Chakraborty, B Chakraborty Applied Sciences 11 (1), 202, 2020 | 87 | 2020 |
| Feature subset selection by particle swarm optimization with fuzzy fitness function B Chakraborty 2008 3rd international conference on intelligent system and knowledge …, 2008 | 85 | 2008 |
| A new hybrid feature selection approach using feature association map for supervised and unsupervised classification AK Das, S Goswami, A Chakrabarti, B Chakraborty Expert Systems with Applications 88, 81-94, 2017 | 64 | 2017 |
| Multiobjective route selection for car navigation system using genetic algorithm B Chakraborty, T Maeda, G Chakraborty Proceedings of the 2005 IEEE Midnight-Summer Workshop on Soft Computing in …, 2005 | 63 | 2005 |
| A genetic algorithm approach to solve channel assignment problem in cellular radio networks G Chakraborty, B Chakraborty SMCia/99 Proceedings of the 1999 IEEE Midnight-Sun Workshop on Soft …, 1999 | 52 | 1999 |
| A feature cluster taxonomy based feature selection technique S Goswami, AK Das, A Chakrabarti, B Chakraborty Expert Systems with Applications 79, 76-89, 2017 | 50 | 2017 |
| Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest S Koley, AK Sadhu, P Mitra, B Chakraborty, C Chakraborty Applied Soft Computing 41, 453-465, 2016 | 49 | 2016 |
| Effect of dynamic feature for human activity recognition using smartphone sensors K Nakano, B Chakraborty 2017 IEEE 8th International Conference on Awareness Science and Technology …, 2017 | 47 | 2017 |
| An approach for speech enhancement using deep convolutional neural network VH Arul, VG Sivakumar, R Marimuthu, B Chakraborty Multimedia Research (MR) 2 (1), 37-44, 2019 | 43 | 2019 |
| A new feature extraction technique for on-line recognition of handwritten alphanumeric characters B Chakraborty, G Chakraborty Information Sciences 148 (1-4), 55-70, 2002 | 41 | 2002 |
| A novel normalization technique for unsupervised learning in ANN G Chakraborty, B Chakraborty IEEE transactions on neural networks 11 (1), 253-257, 2000 | 39 | 2000 |
| Jeffries-Matusita distance as a tool for feature selection R Sen, S Goswami, B Chakraborty 2019 International Conference on Data Science and Engineering (ICDSE), 15-20, 2019 | 37 | 2019 |
| A novel approach for estimation of optimal embedding parameters of nonlinear time series by structural learning of neural network Y Manabe, B Chakraborty Neurocomputing 70 (7-9), 1360-1371, 2007 | 37 | 2007 |
| Ultrasonic diagnosis of oral and neck malignant lymphoma E FUJII, H SUZUKI, K SHINOZUKA, N KAWASE, T AMAGASA The Bulletin of Tokyo Medical and Dental University 39 (4), 63-69, 1992 | 36 | 1992 |
| Feature subset selection by neuro-rough hybridization B Chakraborty International Conference on Rough Sets and Current Trends in Computing, 519-526, 2000 | 33 | 2000 |
| Ga-based multiple route selection for car navigation B Chakraborty Asian Applied Computing Conference, 76-83, 2004 | 29 | 2004 |
| A new penalty-based wrapper fitness function for feature subset selection with evolutionary algorithms B Chakraborty, A Kawamura Journal of Information and Telecommunication 2 (2), 163-180, 2018 | 24 | 2018 |
