Kuntal Ghosh
Kuntal Ghosh
Machine Intelligence Unit, Indian Statistical Institute
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Automatic detection and classification of diabetic retinopathy stages using CNN
R Ghosh, K Ghosh, S Maitra
2017 4th International Conference on Signal Processing and Integrated …, 2017
Can# Twitter_Trends Predict Election Results? Evidence from 2014 Indian General Election
A Khatua, A Khatua, K Ghosh, N Chaki
48th Hawaii International Conference on System Sciences (HICSS), 2015, 1676 …, 2015
A possible explanation of the low-level brightness–contrast illusions in the light of an extended classical receptive field model of retinal ganglion cells
K Ghosh, S Sarkar, K Bhaumik
Biological Cybernetics 94 (2), 89-96, 2006
A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells
K Ghosh, S Sarkar, K Bhaumik
Biological Cybernetics 93 (1), 1-5, 2005
A perception based color image adaptive watermarking scheme in YCbCr space
A Roy, AK Maiti, K Ghosh
2nd International Conference on Signal Processing and Integrated Networks …, 2015
A theory of" fuzzy" edge detection in the light of human visual system
K Ghosh, S Sarkar, K Bhaumik
Journal of Intelligent Systems 17 (1-3), 229-246, 2008
Understanding image structure from a new multi-scale representation of higher order derivative filters
K Ghosh, S Sarkar, K Bhaumik
Image and Vision Computing 25 (8), 1228-1238, 2007
ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions
A Bardhan, P Samui, K Ghosh, AH Gandomi, S Bhattacharyya
Applied Soft Computing 110, 107595, 2021
Tweeting in support of LGBT? A deep learning approach
A Khatua, E Cambria, K Ghosh, N Chaki, A Khatua
Proceedings of the ACM India Joint International Conference on Data Science …, 2019
Corroborating the subjective classification of ultrasound images of normal and fatty human livers by the radiologist through texture analysis and SOM
S Mukherjee, A Chakravorty, K Ghosh, M Roy, A Adhikari, S Mazumdar
15th International Conference on Advanced Computing and Communications …, 2007
A possible mechanism of stochastic resonance in the light of an extra-classical receptive field model of retinal ganglion cells
K Ghosh, S Sarkar, K Bhaumik
Biological cybernetics 100 (5), 351-359, 2009
An HVS inspired robust non-blind watermarking scheme in YCbCr color space
A Roy, AK Maiti, K Ghosh
International Journal of Image and Graphics 18 (03), 1850015, 2018
Some insights into brightness perception of images in the light of a new computational model of figure–ground segregation
K Ghosh, SK Pal
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010
Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain
A Das, A Roy, K Ghosh
International Conference on Swarm, Evolutionary, and Memetic Computing, 559-568, 2011
Biologically Inspired Approaches to Advanced Information Technology: First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004. Revised Selected Papers
AJ Ijspeert, M Murata, N Wakamiya
Springer Science & Business Media, 2004
Impact of Indian traditional recreational activity on novel anthropometric markers of diabetes in Bengali females. IP 3 (1), 11–15 (2015)
N Banerjee, S Chatterjee, S Chatterjee, K Ghosh, S De, S Mukherjee
Enhancing face matching in a suitable binary environment
A Das, K Ghosh
2011 International Conference on Image Information Processing, 1-6, 2011
Image enhancement by high-order Gaussian derivative filters simulating non-classical receptive fields in the human visual system
K Ghosh, S Sarkar, K Bhaumik
International Conference on Pattern Recognition and Machine Intelligence …, 2005
A bio-inspired model for multi-scale representation of even order gaussian derivatives
K Ghosh, S Sarkar, K Bhaumik
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information …, 2004
Proposing new methods in low-level vision from the Mach band illusion in retrospect
K Ghosh, S Sarkar, K Bhaumik
Pattern Recognition 39 (4), 726-730, 2006
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