Susmita Ghosh
Orcid: 0000-0002-1691-761X
According to our database1,
Susmita Ghosh
authored at least 92 papers
between 2001 and 2024.
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Bibliography
2024
SN Comput. Sci., April, 2024
2023
Standardized Analysis Ready (STAR) data cube for high-resolution Flood mapping using Sentinel-1 data.
CoRR, 2023
Introducing Feature Attention Module on Convolutional Neural Network for Diabetic Retinopathy Detection.
CoRR, 2023
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN.
CoRR, 2023
Transfer-Ensemble Learning based Deep Convolutional Neural Networks for Diabetic Retinopathy Classification.
CoRR, 2023
T-Fusion Net: A Novel Deep Neural Network Augmented with Multiple Localizations based Spatial Attention Mechanisms for Covid-19 Detection.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
A Combination of Mutual and Neighborhood Information for Band Selection in Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Mutual Information and Ensemble Based Feature Recommender for Renal Cancer Stage Classification.
CoRR, 2022
Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks.
CoRR, 2022
An Unsupervised Band Selection Method for Hyperspectral Images Using Mutual Information Based Dependence Index.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022
2021
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks.
CoRR, 2021
A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics.
IEEE Access, 2021
Learning from Others: A Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in India using an Ensemble of LSTM-RNNs.
Proceedings of the IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021, 2021
2020
Comput. Biol. Medicine, 2020
Band Elimination for Dimensionality Reduction of Hyperspectral Images using Mutual Information.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2018
Proprties of biclustering algorithms and a novel biclustering technique based on relative density.
CoRR, 2018
Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency.
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Multi-decadal mass budget and area change of some eastern Himalayan glaciers (Nepal-Sikkim) using remote sensing techniques.
Proceedings of the 2018 4th International Conference on Recent Advances in Information Technology (RAIT), 2018
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
2017
Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection.
Multim. Tools Appl., 2017
Supervised Feature Extraction of Hyperspectral Images Using Partitioned Maximum Margin Criterion.
IEEE Geosci. Remote. Sens. Lett., 2017
Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour.
Int. J. Comput. Vis., 2017
Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017
Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2017
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017
2016
Soft Comput., 2016
Inf. Sci., 2016
Integration of fuzzy Markov random field and local information for separation of moving objects and shadows.
Inf. Sci., 2016
Appl. Soft Comput., 2016
Proceedings of the 8th ACM International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking, 2016
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016
Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
2015
Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Application of Gibbs-Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera.
Soft Comput., 2015
Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns.
IEEE Geosci. Remote. Sens. Lett., 2015
2014
A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
IEEE Geosci. Remote. Sens. Lett., 2014
A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system.
Inf. Sci., 2014
Semi-supervised change detection using modified self-organizing feature map neural network.
Appl. Soft Comput., 2014
Moving object detection using Markov Random Field and Distributed Differential Evolution.
Appl. Soft Comput., 2014
Erratum to "Moving object detection using Markov Random Field and Distributed Differential Evolution" [Appl. Soft Comput. 15(2014) 121-136].
Appl. Soft Comput., 2014
Proceedings of the IEEE Global Humanitarian Technology Conference, 2014
2013
Pattern Recognit., 2013
Change detection for moving object segmentation with robust background construction under Wronskian framework.
Mach. Vis. Appl., 2013
Int. J. Math. Math. Sci., 2013
Change detection in remotely sensed images using semi-supervised clustering algorithms.
Int. J. Knowl. Eng. Soft Data Paradigms, 2013
Self-adaptive differential evolution for feature selection in hyperspectral image data.
Appl. Soft Comput., 2013
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Spatial constraint Hopfield-type neural networks for detecting changes in remotely sensed multitemporal images.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the International Conference on Advances in Computing, 2013
Proceedings of the International Conference on Advances in Computing, 2013
Band elimination of hyperspectral imagery using correlation of partitioned band images.
Proceedings of the International Conference on Advances in Computing, 2013
2012
Object Detection From Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching.
IEEE Trans. Circuits Syst. Video Technol., 2012
Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images.
Appl. Soft Comput., 2012
Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012
Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images.
Proceedings of the Perception and Machine Intelligence - First Indo-Japan Conference, 2012
Object and shadow separation using fuzzy Markov Random Field and local gray level co-occurence matrix based textural features.
Proceedings of the 12th International Conference on Intelligent Systems Design and Applications, 2012
A semi-supervised change detection for remotely sensed images using ensemble classifier.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012
2011
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011
Fuzzy clustering algorithms for unsupervised change detection in remote sensing images.
Inf. Sci., 2011
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems.
Appl. Soft Comput., 2011
Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
Modified Self-Organizing Feature Map Neural Network with Semi-supervision for Change Detection in Remotely Sensed Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
2010
Comput. Math. Methods Medicine, 2010
Proceedings of the Swarm Intelligence - 7th International Conference, 2010
2009
Pattern Recognit. Lett., 2009
An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network.
Int. J. Approx. Reason., 2009
Fundam. Informaticae, 2009
Ant based Supervised and Unsupervised Land Use Map Generation from Remotely Sensed Images.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009
2008
Proceedings of the Speech, 2008
Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008
Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron.
Fundam. Informaticae, 2008
Proceedings of the 2008 International Conference on Information Technology, 2008
2007
A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2007
Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007
Unsupervised Change Detection in Remote-Sensing Images Using Modified Self-Organizing Feature Map Neural Network.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007
2006
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network.
Proceedings of the 9th International Conference in Information Technology, 2006
Proceedings of the 9th International Conference in Information Technology, 2006
2005
2003
2002
Proceedings of the Advances in Soft Computing, 2002
2001
Some classification algorithms integrating Dempster-Shafer theory of evidence with the rank nearest neighbor rules.
IEEE Trans. Syst. Man Cybern. Part A, 2001