Basabi Chakraborty
Basabi Chakraborty
Professor, Faculty of Software and Information Science, Iwate Prefectural University , Japan
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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
Fuzzy set theoretic measure for automatic feature evaluation
SK Pal, B Chakraborty
IEEE Transactions on Systems, Man, and Cybernetics 16 (5), 754-760, 1986
Genetic algorithm with fuzzy fitness function for feature selection
B Chakraborty
Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE …, 2002
Feature subset selection by particle swarm optimization with fuzzy fitness function
B Chakraborty
2008 3rd international conference on intelligent system and knowledge …, 2008
Predicting the risk of chronic kidney disease (ckd) using machine learning algorithm
W Wang, G Chakraborty, B Chakraborty
Applied Sciences 11 (1), 202, 2020
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
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
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
A feature cluster taxonomy based feature selection technique
S Goswami, AK Das, A Chakrabarti, B Chakraborty
Expert Systems with Applications 79, 76-89, 2017
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
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
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
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
A novel normalization technique for unsupervised learning in ANN
G Chakraborty, B Chakraborty
IEEE transactions on neural networks 11 (1), 253-257, 2000
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
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
Feature subset selection by neuro-rough hybridization
B Chakraborty
International Conference on Rough Sets and Current Trends in Computing, 519-526, 2000
Ga-based multiple route selection for car navigation
B Chakraborty
Asian Applied Computing Conference, 76-83, 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
Multi-objective optimization using Pareto GA for gene-selection from microarray data for disease classification
G Chakraborty, B Chakraborty
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2629-2634, 2013
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