Ashish Ghosh
Orcid: 0000-0003-1548-5576
According to our database1,
Ashish Ghosh
authored at least 161 papers
between 1990 and 2024.
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Bibliography
2024
SN Comput. Sci., April, 2024
2023
Action Recognition in Dark Videos Using Spatio-Temporal Features and Bidirectional Encoder Representations From Transformers.
IEEE Trans. Artif. Intell., December, 2023
MEQA: Manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test.
Pattern Recognit., July, 2023
2022
IEEE Trans. Emerg. Top. Comput. Intell., 2022
Fitness inheritance in multi-objective genetic algorithms: a case study on fuzzy classification rule mining.
Int. J. Adv. Intell. Paradigms, 2022
Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks.
CoRR, 2022
CoRR, 2022
Biomed. Signal Process. Control., 2022
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Displays, 2021
CoRR, 2021
Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders.
CoRR, 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
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification.
CoRR, 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
Proceedings of the IAIT 2021: The 12th International Conference on Advances in Information Technology, Bangkok, Thailand, 29 June 2021, 2021
2020
IEEE Trans. Multim., 2020
IEEE Trans. Intell. Transp. Syst., 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
2019
IEEE Trans. Cybern., 2019
Pattern Recognit., 2019
Multi-label classification using a cascade of stacked autoencoder and extreme learning machines.
Neurocomputing, 2019
Aust. J. Intell. Inf. Process. Syst., 2019
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Circuits Syst. Video Technol., 2018
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification.
Int. J. Fuzzy Syst., 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
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018
Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks.
Proceedings of the 10th International Conference on Advances in Information Technology, 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
Neurocomputing, 2017
Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour.
Int. J. Comput. Vis., 2017
Noisy-free Length Discriminant Analysis with cosine hyperbolic framework for dimensionality reduction.
Expert Syst. Appl., 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 Mining Intelligence and Knowledge Exploration, 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
Int. J. Data Min. Model. Manag., 2016
Appl. Soft Comput., 2016
Proceedings of the 2016 International Joint Conference on Neural 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
A comprehensive survey of multi-objective genetic and fuzzy approaches in rule mining problem of knowledge discovery in databases.
Int. J. Inf. Technol. Commun. Convergence, 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 2014 International Conference on Advances in Computing, 2014
2013
WIREs Data Mining Knowl. Discov., 2013
Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification.
WIREs Data Mining Knowl. Discov., 2013
Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images.
IEEE Trans. Image Process., 2013
IEEE Trans. Aerosp. Electron. Syst., 2013
Pattern Recognit., 2013
Change detection for moving object segmentation with robust background construction under Wronskian framework.
Mach. Vis. Appl., 2013
Change detection in remotely sensed images using semi-supervised clustering algorithms.
Int. J. Knowl. Eng. Soft Data Paradigms, 2013
IET Image Process., 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
Proceedings of the Handbook on Soft Computing for Video Surveillance., 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
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification.
J. Syst. Softw., 2012
Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images.
Appl. Soft Comput., 2012
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 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
An efficient illumination invariant face recognition technique using two dimensional linear discriminant analysis.
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
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012
2011
IEEE Trans. Circuits Syst. Video Technol., 2011
Pattern Recognit. Lett., 2011
Fuzzy clustering algorithms for unsupervised change detection in remote sensing images.
Inf. Sci., 2011
Int. J. Appl. Evol. Comput., 2011
Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images.
Appl. Soft Comput., 2011
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems.
Appl. Soft Comput., 2011
Appl. Soft Comput., 2011
Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011
Proceedings of the 25th European Conference on Modelling and Simulation, 2011
2010
Int. J. Knowl. Eng. Soft Data Paradigms, 2010
Parallel genetic algorithm based adaptive thresholding for image segmentation under uneven lighting conditions.
Proceedings of the IEEE International Conference on Systems, 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 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
Pattern Recognit., 2008
Particle Swarm Optimised polynomial neural network for classification: a multi-objective view.
Int. J. Intell. Def. Support Syst., 2008
Int. J. Approx. Reason., 2008
Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron.
Fundam. Informaticae, 2008
Application of elitist multi-objective genetic algorithm for classification rule generation.
Appl. Soft Comput., 2008
Proceedings of the 2008 International Conference on Information Technology, 2008
2007
IEEE Trans. Geosci. Remote. Sens., 2007
A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2007
Int. J. Wavelets Multiresolution Inf. Process., 2007
Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 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
Int. J. Hybrid Intell. Syst., 2006
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
Proceedings of the 9th International Conference in Information Technology, 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
Proceedings of the 9th International Conference in Information Technology, 2006
2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
2004
Univariate marginal distribution algorithms for non-stationary optimization problems.
Int. J. Knowl. Based Intell. Eng. Syst., 2004
2003
IEEE Trans. Evol. Comput., 2003
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003
2002
Proceedings of the Advances in Soft Computing, 2002
1998
1997
IEEE Trans. Evol. Comput., 1997
Designing Hopfield Type Networks Using Genetic Algorithms and Its Comparison with Simulated Annealing.
Int. J. Pattern Recognit. Artif. Intell., 1997
Research activities related to fuzzy sets and fuzzy logic at the Machine Intelligence Unit of the Indian Statistical Institute, Calcutta, India.
Fuzzy Sets Syst., 1997
Evol. Comput., 1997
A Real Coded Genetic Algorithm with an Explorer and an Exploiter Populations.
Proceedings of the 7th International Conference on Genetic Algorithms, 1997
1996
Int. J. Syst. Sci., 1996
Proceedings of the Parallel Problem Solving from Nature, 1996
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996
Proceedings of the Australian New Zealand Conference on Intelligent Information Systems, 1996
1995
Modeling of component failure in neural networks for robustness evaluation: an application to object extraction.
IEEE Trans. Neural Networks, 1995
1993
Self-organization for object extraction using a multilayer neural network and fuzziness measures.
IEEE Trans. Fuzzy Syst., 1993
1992
Pattern Recognit. Lett., 1992
Int. J. Pattern Recognit. Artif. Intell., 1992
1991
1990
Pattern Recognit. Lett., 1990