Kuntal Ghosh

Orcid: 0000-0002-4431-1404

According to our database1, Kuntal Ghosh authored at least 49 papers between 2005 and 2024.

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PhD thesis 


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Improving Node Classification Accuracy of GNN through Input and Output Intervention.
ACM Trans. Knowl. Discov. Data, January, 2024

BRI3L: A Brightness Illusion Image Dataset for Identification and Localization of Regions of Illusory Perception.
CoRR, 2024

Coupling Effect of Exploration Rate and Learning Rate for Optimized Scaled Reinforcement Learning.
SN Comput. Sci., September, 2023

NeuroANATOP: An Effective Tool to Assess the Progression of Alzheimer's Disease in Human Brain Networks.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023

Analyzing the Progression of Alzheimer's Disease in Human Brain Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Constant community identification in million-scale networks.
Soc. Netw. Anal. Min., 2022

A framework for neighbourhood configuration to improve the KNN based imputation algorithms on microarray gene expression data.
Int. J. Bioinform. Res. Appl., 2022

A discrete magno-parvo additive model in early vision for explaining brightness perception in varying contrastive contexts.
Biol. Cybern., 2022

Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs.
Appl. Intell., 2022

Modified Lomax model: a heavy-tailed distribution for fitting large-scale real-world complex networks.
Soc. Netw. Anal. Min., 2021

An ensemble machine learning model based on multiple filtering and supervised attribute clustering algorithm for classifying cancer samples.
PeerJ Comput. Sci., 2021

Analysing the patterns of spatial contrast discontinuities in natural images for robust edge detection.
Pattern Anal. Appl., 2021

Automatic grain segmentation in cross-polarized photomicrographs of sedimentary rocks using psychophysics inspired models.
Innov. Syst. Softw. Eng., 2021

Towards effective discovery of natural communities in complex networks and implications in e-commerce.
Electron. Commer. Res., 2021

ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions.
Appl. Soft Comput., 2021

Uncovering patterns in heavy-tailed networks : A journey beyond scale-free.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Constant community identification in million scale networks using image thresholding algorithms.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

State-of-the-art fuzzy active contour models for image segmentation.
Soft Comput., 2020

Finding patterns in the degree distribution of real-world complex networks: going beyond power law.
Pattern Anal. Appl., 2020

Fundam. Informaticae, 2020

An app based unified approach to enhance language comprehension and mathematical reasoning ability of the hearing impaired using contrast words.
Proceedings of the TENCON 2019, 2019

Impact of Prerequisite Subjects on Academic Performance Using Association Rule Mining.
Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019

Tweeting in Support of LGBT?: A Deep Learning Approach.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

Applications of Deep Learning in Medical Imaging.
Proceedings of the Handbook of Deep Learning Applications., 2019

An HVS Inspired Robust Non-blind Watermarking Scheme in YCbCr Color Space.
Int. J. Image Graph., 2018

A parsimonious model of brightness induction.
Biol. Cybern., 2018

Perceptual Filling-in of Blind-Spot for Surrounding Color Gradient Stimuli.
Proceedings of the Intelligent Human Computer Interaction - 10th International Conference, 2018

Computational intelligence in telecommunication networks: a review.
Int. J. Comput. Intell. Stud., 2017

A Study on Crossmodal Correspondence in Sensory Pathways Through Forced Choice Task and Frequency Based Correlation in Sound-Symbolism.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017

A DOG filter model of the occurrence of Mach bands on spatial contrast discontinuities.
Biol. Cybern., 2016

Comparison Between an HVS Inspired Linear Filter and the Bilateral Filter in Performing "Vision at a Glance" through Smoothing with Edge Preservation.
Int. J. Image Graph., 2015

Can #Twitter_Trends Predict Election Results? Evidence from 2014 Indian General Election.
Proceedings of the 48th Hawaii International Conference on System Sciences, 2015

Scaling Properties of Mach Bands and Perceptual Models.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012

Proposing a CNN Based Architecture of Mid-level Vision for Feeding the WHERE and WHAT Pathways in the Brain.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Some Insights Into Brightness Perception of Images in the Light of a New Computational Model of Figure-Ground Segregation.
IEEE Trans. Syst. Man Cybern. Part A, 2010

A possible mechanism of stochastic resonance in the light of an extra-classical receptive field model of retinal ganglion cells.
Biol. Cybern., 2009

Understanding image structure from a new multi-scale representation of higher order derivative filters.
Image Vis. Comput., 2007

Attention in Early Vision: Some Psychophysical Insights.
Proceedings of the Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint, 2007

Stochastic Resonance in the Perceptual Interpretation of Zero Crossing Maps: A Low Level Center Surround Model of Vision.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Figure-Ground Segregation: Cues from Early Vision.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

Design of a low-pass filter by multi-scale even order Gaussian derivatives.
Signal Process., 2006

Proposing new methods in low-level vision from the Mach band illusion in retrospect.
Pattern Recognit., 2006

A possible explanation of the low-level brightness-contrast illusions in the light of an extended classical receptive field model of retinal ganglion cells.
Biol. Cybern., 2006

Early Vision and Image Processing: Evidences Favouring a Dynamic Receptive Field Model.
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006

New Vision Tools from the Comparative Study of an "Old" Psychophysical and a "Modern" Computational Model.
Proceedings of the Biologically Inspired Approaches to Advanced Information Technology, 2006

A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells.
Biol. Cybern., 2005

Image Enhancement by High-Order Gaussian Derivative Filters Simulating Non-classical Receptive Fields in the Human Visual System.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Edge Detection and Enhancement by a New Model for Neural Engineering.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

A New Mechanism of "Fuzzy" Edge Detection by Multi-scale Gaussian Filters in the light of Human Visual System.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005