Basabi Chakraborty
Basabi Chakraborty
Professor, Faculty of Software and Information Science, Iwate Prefectural University , Japan
Verified email at iwate-pu.ac.jp
Title
Cited by
Cited by
Year
Fuzzy set theoretic measure for automatic feature evaluation
SK Pal, B Chakraborty
IEEE Transactions on Systems, Man, and Cybernetics 16 (5), 754-760, 1986
1241986
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
892018
Genetic algorithm with fuzzy fitness function for feature selection
B Chakraborty
IEEE international symposium on industrial electronics (ISIE’02) 1, 315-319, 2002
672002
Feature subset selection by particle swarm optimization with fuzzy fitness function
B Chakraborty
2008 3rd international conference on intelligent system and knowledge …, 2008
622008
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
592005
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
441999
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
392002
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
332017
A feature cluster taxonomy based feature selection technique
S Goswami, AK Das, A Chakrabarti, B Chakraborty
Expert Systems with Applications 79, 76-89, 2017
322017
A novel normalization technique for unsupervised learning in ANN
G Chakraborty, B Chakraborty
IEEE transactions on neural networks 11 (1), 253-257, 2000
322000
Feature subset selection by neuro-rough hybridization
B Chakraborty
International Conference on Rough Sets and Current Trends in Computing, 519-526, 2000
312000
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
282007
Ga-based multiple route selection for car navigation
B Chakraborty
Asian Applied Computing Conference, 76-83, 2004
252004
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
232017
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
222016
Social media analysis–determining the number of topic clusters from buzz marketing site
T Hashimoto, B Chakraborty, Y Shirota
International Journal of Computational Science and Engineering 6 7 (1), 65-72, 2012
20*2012
Intraclass and interclass ambiguities (fuzziness) in feature evaluation
SK Pal, B Chakraborty
Pattern Recognition Letters 2 (5), 275-279, 1984
191984
Development of online handwriting recognition system: a case study with handwritten Bangla character
A Bandyopadhyay, B Chakraborty
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 514-519, 2009
182009
Feature selection and classification techniques for multivariate time series
B Chakraborty
Second International Conference on Innovative Computing, Informatio and …, 2007
182007
Genetic algorithm with fuzzy operators for feature subset selection
B Chakraborty
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and …, 2002
182002
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