Ashish Ghosh

Shigeyoshi Tsutsui, Ashish Ghosh, S. Tsutsui, 1996, 1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96.

Foreground Segmentation Using Adaptive 3 Phase Background Model

Ashish Ghosh, Sujoy Madhab Roy, Ashish Ghosh, 2020, IEEE Transactions on Intelligent Transportation Systems.

Kernelized Fuzzy Modal Variation for Local Change Detection From Video Scenes

Ashish Ghosh, Badri Narayan Subudhi, T. Veerakumar, 2020, IEEE Transactions on Multimedia.

Real-time record sensitive background classifier (RSBC)

Ashish Ghosh, Sujoy Madhab Roy, Ashish Ghosh, 2019, Expert Syst. Appl..

Real-Time Adaptive Histogram Min-Max Bucket (HMMB) Model for Background Subtraction

Ashish Ghosh, Sujoy Madhab Roy, Ashish Ghosh, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Statistical feature bag based background subtraction for local change detection

Simon C. K. Shiu, Ashish Ghosh, Susmita Ghosh, 2016, Inf. Sci..

Application of Gibbs–Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera

Ashish Ghosh, B. Subudhi, Susmita K. Ghosh, 2015, Soft Comput..

Moving object detection using Gaussian background model and Wronskian framework

Ashish Ghosh, Susmita Ghosh, Badri Narayan Subudhi, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Change detection for moving object segmentation with robust background construction under Wronskian framework

Ashish Ghosh, Susmita Ghosh, Badri Narayan Subudhi, 2013, Machine Vision and Applications.

Unsupervised Segmentation of Non-Intersecting Manifolds

Ashish Ghosh, Subhadip Boral, Sumedha Dhar, 2021, IAIT.

Incorporating Ancestors' Influence in Genetic Algorithms

Sankar K. Pal, Ashish Ghosh, Susmita Ghosh, 2004, Applied Intelligence.

Application of elitist multi-objective genetic algorithm for classification rule generation

Rajib Mall, Srikanta Patnaik, Satchidananda Dehuri, 2008, Appl. Soft Comput..

Evolutionary Algorithms for Data Mining and Knowledge Discovery

Ashish Ghosh, Ashish Ghosh, 2005 .

Semi-supervised change detection using modified self-organizing feature map neural network

Ashish Ghosh, Susmita Ghosh, Moumita Roy, 2014, Appl. Soft Comput..

An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification

Sung-Bae Cho, Rahul Roy, Satchidananda Dehuri, 2012, J. Syst. Softw..

Non-parametric modified histogram equalisation for contrast enhancement

Sankar K. Pal, Suman Tewary, Shashi Poddar, 2013, IET Image Process..

Soft computing in mechatronics

Sankar K. Pal, Ashish Ghosh, Malay K. Kundu, 2000 .

Incremental association rule mining: a survey

B. Nath, Dhruba Kumar Bhattacharyya, A. Ghosh, 2013, WIREs Data Mining Knowl. Discov..

Advances in Evolutionary Computing

Shigeyoshi Tsutsui, Ashish Ghosh, S. Tsutsui, 2003 .

Genotypic and Phenotypic Assortative Mating in Genetic Algorithm

Sankar K. Pal, Ashish Ghosh, Susmita De, 1998, Inf. Sci..

Advances in evolutionary computing: theory and applications

Shigeyoshi Tsutsui, Ashish Ghosh, S. Tsutsui, 2003 .

2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies ACT 2009 Table of Contents

V. S. Ananthanarayana, Demian Antony D'Mello, Ashish Ghosh, 2009 .

Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach

Lorenzo Bruzzone, Saroj K. Meher, B. Uma Shankar, 2006, ICVGIP.

Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders pdf

Ashish Ghosh, Debasrita Chakraborty, Ashish Ghosh, 2021, ArXiv.

Hybrid-genetic algorithms for flexible ligand docking

Ashish Ghosh, Anindya Sen, Ashish Ghosh, 2007, J. Intell. Fuzzy Syst..

Spatio-contextual fuzzy clustering with Markov random field model for change detection in remotely sensed images

Francesca Bovolo, Lorenzo Bruzzone, Ashish Ghosh, 2014 .

Spatial constraint Hopfield-type neural networks for detecting changes in remotely sensed multitemporal images

Ashish Ghosh, Susmita Ghosh, Badri Narayan Subudhi, 2013, 2013 IEEE International Conference on Image Processing.

Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images

Ashish Ghosh, Susmita Ghosh, Niladri Shekhar Mishra, 2012, Appl. Soft Comput..

Histogram thresholding for unsupervised change detection of remote sensing images

Ashish Ghosh, Susmita Ghosh, Swarnajyoti Patra, 2011 .

Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images

Ashish Ghosh, Susmita Ghosh, Aditi Mandal, 2011, PReMI.

Fuzzy clustering algorithms for unsupervised change detection in remote sensing images

Ashish Ghosh, Susmita Ghosh, Niladri Shekhar Mishra, 2011, Inf. Sci..

Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron

Ashish Ghosh, Susmita Ghosh, Swarnajyoti Patra, 2008, Fundam. Informaticae.

A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images

Ashish Ghosh, Susmita Ghosh, Swarnajyoti Patra, 2008, Speech, Audio, Image and Biomedical Signal Processing using Neural Networks.

A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks

Francesca Bovolo, Lorenzo Bruzzone, Ashish Ghosh, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System

Lorenzo Bruzzone, Saroj K. Meher, B. Uma Shankar, 2006, 9th International Conference on Information Technology (ICIT'06).

Aggregation Pheromone Density Based Clustering

Ashish Ghosh, Susmita Ghosh, Megha Kothari, 2006, 9th International Conference on Information Technology (ICIT'06).

Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network

Ashish Ghosh, Susmita Ghosh, Swarnajyoti Patra, 2006, 9th International Conference on Information Technology (ICIT'06).

A Survey on Fuzzy Association Rule Mining

Satchidananda Dehuri, Harihar Kalia, Ashish Ghosh, 2013, Int. J. Data Warehous. Min..

Aggregation pheromone density based data clustering

Ashish Ghosh, Anindya Halder, Susmita Ghosh, 2008, Inf. Sci..

Distributed Computing for Emerging Smart Networks: Second International Workshop, DiCES-N 2020, Bizerte, Tunisia, December 18, 2020, Proceedings

Raquel Oliveira Prates, Ashish Ghosh, R. Prates, 2020, DiCES-N.

Moving object detection using Markov Random Field and Distributed Differential Evolution

Ashish Ghosh, Susmita Ghosh, Ajoy Mondal, 2014, Appl. Soft Comput..

Efficient silhouette based contour tracking

Ashish Ghosh, Susmita Ghosh, Ajoy Mondal, 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Object and shadow separation using fuzzy Markov Random Field and local gray level co-occurence matrix based textural features

Ashish Ghosh, Susmita Ghosh, Badri Narayan Subudhi, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Object Detection From Videos Captured by Moving Camera by Fuzzy Edge Incorporated Markov Random Field and Local Histogram Matching

Ashish Ghosh, Susmita Ghosh, Badri Narayan Subudhi, 2012, IEEE Transactions on Circuits and Systems for Video Technology.

Distributed differential evolution algorithm for MAP estimation of MRF model for detecting moving objects

Ashish Ghosh, Ajoy Mondal, Susmita Ghosh, 2011, 2011 International Conference on Image Information Processing.

A Change Information Based Fast Algorithm for Video Object Detection and Tracking

Ashish Ghosh, Badri Narayan Subudhi, Pradipta Kumar Nanda, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

Classification Confidence Of Fuzzy Rule-Based Classifiers

Tomoharu Nakashima, Ashish Ghosh, T. Nakashima, 2011, ECMS.

Scalable Fuzzy Genetic Classifier Based on Fitness Approximation

Satchidananda Dehuri, Harihar Kalia, Ashish Ghosh, 2012, SEMCCO.

Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2011, Appl. Soft Comput..

A novel fuzzy classifier based on product aggregation operator

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2008, Pattern Recognit..

Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases

Satchidananda Dehuri, Ashish Ghosh, Susmita Ghosh, 2008, Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases.

A novel approach to neuro-fuzzy classification

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2009, Neural Networks.

Early detection of diabetic retinopathy from big data in hadoop framework

Ashish Ghosh, Badri Narayan Subudhi, T. Veerakumar, 2021, Displays.

Context Dependent Fuzzy Associated Statistical Model for Intensity Inhomogeneity Correction From Magnetic Resonance Images

Ashish Ghosh, Badri Narayan Subudhi, T. Veerakumar, 2019, IEEE Journal of Translational Engineering in Health and Medicine.

Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images

Ashish Ghosh, Susmita Ghosh, Aloke Datta, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Data clustering: review and investigation of parallel genetic algorithms for revealing clusters

Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Ashish Ghosh, 2014 .

Robust global and local fuzzy energy based active contour for image segmentation

Ashish Ghosh, Susmita Ghosh, Ajoy Mondal, 2016, Appl. Soft Comput..

Robust image segmentation using global and local fuzzy energy based active contour

Ashish Ghosh, Ajoy Mondal, K. Ramachandra Murthy, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Time-dependent reliability of corrosion-affected RC beams—Part 1: Estimation of time-dependent strengths and associated variability

A. K. Ghosh, Kapilesh Bhargava, Yasuhiro Mori, 2011 .

A Fast and Efficient Clutter Rejection Algorithm for SAR Imagery

Ashish Ghosh, K. Ramachandra Murthy, Sambhunath Biswas, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Enhanced eigenspace separation transform for classification

Ashish Ghosh, K. Ramachandra Murthy, Ashish Ghosh, 2012, ICVGIP '12.

Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer

Sung-Bae Cho, Rahul Roy, Ashish Ghosh, 2017, MIKE.

Integration of deep feature extraction and ensemble learning for outlier detection

Ashish Ghosh, Debasrita Chakraborty, Vaasudev Narayanan, 2019, Pattern Recognit..

Computer Animation and Social Agents: 33rd International Conference on Computer Animation and Social Agents, CASA 2020, Bournemouth, UK, October 13-15, 2020, Proceedings

N. Thalmann, Xiaosong Yang, J. Zhang, 2020 .

Image co-segmentation using dual active contours

Ashish Ghosh, Sanmoy Bandyopadhyay, Ashish Ghosh, 2018, Appl. Soft Comput..

An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network

Ashish Ghosh, Susmita Ghosh, Swarnajyoti Patra, 2009, Int. J. Approx. Reason..

Use of aggregation pheromone density for image segmentation

Ashish Ghosh, Anindya Halder, Susmita Ghosh, 2009, Pattern Recognit. Lett..

Aggregation Pheromone Density Based Pattern Classification

Ashish Ghosh, Anindya Halder, Susmita Ghosh, 2009, Fundam. Informaticae.

Aggregation Pheromone Density Based Classification

Ashish Ghosh, Anindya Halder, Susmita Ghosh, 2008, 2008 International Conference on Information Technology.

Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification pdf

Ashish Ghosh, Anwesha Law, Ashish Ghosh, 2021, ArXiv.

Functional Link Artificial Neural Network for Multi-label Classification

Ashish Ghosh, Anwesha Law, Konika Chakraborty, 2017, MIKE.

Optimized Functional Link Artificial Neural Network for Multi-label Classification

Ashish Ghosh, Anwesha Law, Balasubramanyam Evani, 2019, Aust. J. Intell. Inf. Process. Syst..

Multi-Label Classification Using Binary Tree of Classifiers

Ashish Ghosh, Anwesha Law, Ashish Ghosh, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Surrogate-Assisted Multi-objective Genetic Fuzzy Associative Classification by Multiple Granularity Measures

A. K. Behera, Ashish Ghosh, Satchidananda Dehuri, 2023, 2023 International Conference for Advancement in Technology (ICONAT).

A GA-FUZZY Approach to Evolve Hopfield Type Optimum Networks for Object Extraction

Ashish Ghosh, Susmita Ghosh, Ashish Ghosh, 2002, AFSS.

PCA, Kernel PCA and Dimensionality Reduction in Hyperspectral Images

Ashish Ghosh, Susmita Ghosh, Aloke Datta, 2018 .

Advances in Service-Oriented and Cloud Computing: Workshops of ESOCC 2018, Como, Italy, September 12–14, 2018, Revised Selected Papers

Claus Pahl, Maria Fazio, Raquel Oliveira Prates, 2020, ESOCC Workshops.

FUMET: A fuzzy network module extraction technique for gene expression data

Dhruba Kumar Bhattacharyya, Hasin Afzal Ahmed, Ashish Ghosh, 2014, Journal of Biosciences.

Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks

Jonathan H. Chan, Ashish Ghosh, Debasrita Chakraborty, 2021, Scientific reports.

Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks pdf

Ashish Ghosh, Jonathan H. Chan, Debayan Goswami, 2021, ArXiv.

An outliers detection and elimination framework in classification task of data mining

A. K. Behera, Ashish Ghosh, S. Dehuri, 2023, Decision Analytics Journal.

Protein secondary structure prediction using distance based classifiers

Ashish Ghosh, Bijnan Parai, Ashish Ghosh, 2008, Int. J. Approx. Reason..

Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns

Farid Melgani, Enrico Blanzieri, Ashish Ghosh, 2015, IEEE Geoscience and Remote Sensing Letters.

Fast mean filtering technique (FMFT)

B. Uma Shankar, S. Rakshit, A. Ghosh, 2007, Pattern Recognit..

Gray-level Image Enhancement By Particle Swarm Optimization

Ashish Ghosh, Apurba Gorai, Ashish Ghosh, 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

Soft computing data mining

Sankar K. Pal, Ashish Ghosh, Ashish Ghosh, 2004, Inf. Sci..

Evolutionary computation in data mining

Lakhmi C. Jain, Ashish Ghosh, L. Jain, 2005 .

Hyperspectral Remote Sensing Images and Supervised Feature Extraction

Ashish Ghosh, Susmita Ghosh, Aloke Datta, 2018, Studies in Big Data.

Neuro-Wavelet Classifier for Remote Sensing Image Classification

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

A comparative study of local binary pattern descriptors and Gabor Filter for electron microscopy image segmentation

Ashish Ghosh, Luis Baumela, Kendrick Cetina, 2014, 2014 International Conference on Parallel, Distributed and Grid Computing.

Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2007, IEEE Transactions on Geoscience and Remote Sensing.

A Comparative Study of Clustering Algorithms

Ashish Ghosh, R. Mall, S. Dehuri, 2006 .

Individual aging in genetic algorithms

H. Tanaka, Shigeyoshi Tsutsui, Ashish Ghosh, 1996, 1996 Australian New Zealand Conference on Intelligent Information Systems. Proceedings. ANZIIS 96.

Dimensionality Reduction for Association Rule Mining

B. Nath, Ashish Ghosh, Dhruba K. Bhattacharyya, 2011 .

Neuro-Wavelet Classifier for Multispectral Remote Sensing Images

Saroj K. Meher, B. Uma Shankar, Ashish Ghosh, 2007, Int. J. Wavelets Multiresolution Inf. Process..

Multispectral Remote Sensing Image Classification Using Wavelet Based Features

Saroj K. Meher, Ashish Ghosh, Bhavan Uma Shankar, 2007 .

Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks

Ashish Ghosh, Jonathan H. Chan, Debasrita Chakraborty, 2018, IAIT.

Self-adaptive differential evolution for feature selection in hyperspectral image data

Ashish Ghosh, Susmita K. Ghosh, Aloke Datta, 2013, Appl. Soft Comput..

Genetically Optimized UFLANN for Uncovering Clusters

Ashish Ghosh, Satchidananda Dehuri, Saurabh Bilgaiyan, 2023, IEEE Access.

Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching

Ashish Ghosh, Badri Narayan Subudhi, Ashish Ghosh, 2011, PReMI.

Unsupervised Change Detection of Remotely Sensed Images Using Fuzzy Clustering

Ashish Ghosh, Susmita Ghosh, Niladri Shekhar Mishra, 2009, 2009 Seventh International Conference on Advances in Pattern Recognition.