default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAshish Ghosh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j101]Sunita Samant, Pradipta Kumar Nanda, Ashish Ghosh, Subhaluxmi Sahoo, Adya Kinkar Panda:
Registration of CT and MR image in multi-resolution framework using embedded entropy and feature fusion. Int. J. Comput. Vis. Robotics 14(5): 540-570 (2024)- [j100]Rahul Roy
, Susmita Ghosh, Ashish Ghosh:
Speckle Noise Removal: A Local Structure Preserving Approach. SN Comput. Sci. 5(4): 367 (2024) - [c53]Abhiroop Chatterjee, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci:
Urbanscape-Net: A Spatial and Self-Attention Guided Deep Neural Network with Multi Scale Feature Extraction for Urban Land-Use Classification. IGARSS 2024: 4884-4889 - [e7]Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13102, Springer 2024, ISBN 978-3-031-12699-4 [contents] - [i8]Subhadip Boral, Rikathi Pal, Ashish Ghosh:
ACEV: Unsupervised Intersecting Manifold Segmentation using Adaptation to Angular Change of Eigenvectors in Intrinsic Dimension. CoRR abs/2410.00930 (2024) - 2023
- [j99]Himanshu Dutta, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Ashish Ghosh:
Genetically Optimized UFLANN for Uncovering Clusters. IEEE Access 11: 95432-95442 (2023) - [j98]Subhadip Boral, Mainak Sarkar, Ashish Ghosh:
MEQA: Manifold embedding quality assessment via anisotropic scaling and Kolmogorov-Smirnov test. Pattern Recognit. 139: 109447 (2023) - [j97]Himanshu Singh, Saurabh Suman, Badri Narayan Subudhi, Vinit Jakhetiya, Ashish Ghosh:
Action Recognition in Dark Videos Using Spatio-Temporal Features and Bidirectional Encoder Representations From Transformers. IEEE Trans. Artif. Intell. 4(6): 1461-1471 (2023) - 2022
- [j96]Sunita Samant, Pradipta Kumar Nanda, Ashish Ghosh, Adya Kinkar Panda:
Noisy multimodal brain image registration using markov random field model. Biomed. Signal Process. Control. 73: 103426 (2022) - [j95]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
Fitness inheritance in multi-objective genetic algorithms: a case study on fuzzy classification rule mining. Int. J. Adv. Intell. Paradigms 23(1/2): 89-112 (2022) - [j94]Anwesha Law, Ashish Ghosh:
Multi-Label Classification Using Binary Tree of Classifiers. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 677-689 (2022) - [c52]Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh, Emmett J. Ientilucci:
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning. ICONIP (7) 2022: 212-223 - [i7]Debasrita Chakraborty, Ashish Ghosh:
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets. CoRR abs/2204.13414 (2022) - [i6]Debasrita Chakraborty, Susmita Ghosh, Ashish Ghosh:
Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks. CoRR abs/2204.13422 (2022) - 2021
- [j93]Amartya Hatua, Badri Narayan Subudhi, Veerakumar Thangaraj, Ashish Ghosh:
Early detection of diabetic retinopathy from big data in hadoop framework. Displays 70: 102061 (2021) - [c51]Subhadip Boral, Sumedha Dhar, Ashish Ghosh:
Unsupervised Segmentation of Non-Intersecting Manifolds. IAIT 2021: 23:1-23:7 - [c50]Debasrita Chakraborty, Debayan Goswami, Ashish Ghosh, Jonathan H. Chan, Susmita Ghosh:
Learning from Others: A Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in India using an Ensemble of LSTM-RNNs. IAIT 2021: 29:1-29:8 - [c49]Anwesha Law, Ratula Ray, Ashish Ghosh:
Autoencoder and Extreme Learning Machine Based Deep Multi-label Classifier. PReMI 2021: 160-170 - [i5]Anwesha Law, Ashish Ghosh:
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification. CoRR abs/2107.09904 (2021) - [i4]Debasrita Chakraborty, Debayan Goswami, Susmita Ghosh, Ashish Ghosh, Jonathan H. Chan:
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 abs/2108.09131 (2021) - [i3]Debasrita Chakraborty, Ashish Ghosh:
Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders. CoRR abs/2109.04990 (2021) - [i2]Anwesha Law, Ashish Ghosh:
Improved Multi-label Classification with Frequent Label-set Mining and Association. CoRR abs/2109.10797 (2021) - 2020
- [j92]Rahul Roy, Susmita Ghosh, Ashish Ghosh:
Clinical ultrasound image standardization using histogram specification. Comput. Biol. Medicine 120: 103746 (2020) - [j91]Sujoy Madhab Roy, Ashish Ghosh:
Foreground Segmentation Using Adaptive 3 Phase Background Model. IEEE Trans. Intell. Transp. Syst. 21(6): 2287-2296 (2020) - [j90]Badri Narayan Subudhi, Thangaraj Veerakumar, Esakkirajan Sankaralingam, Ashish Ghosh:
Kernelized Fuzzy Modal Variation for Local Change Detection From Video Scenes. IEEE Trans. Multim. 22(4): 912-920 (2020) - [c48]Abhishek Dey, Susmita Ghosh, Ashish Ghosh:
Band Elimination for Dimensionality Reduction of Hyperspectral Images using Mutual Information. IGARSS 2020: 2055-2058 - [e6]Aravindan Chandrabose, Ulrich Furbach, Ashish Ghosh, Anand Kumar M:
Computational Intelligence in Data Science - Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20-22, 2020, Revised Selected Papers. IFIP Advances in Information and Communication Technology 578, Springer 2020, ISBN 978-3-030-63466-7 [contents]
2010 – 2019
- 2019
- [j89]Anwesha Law, Balasubramanyam Evani, Ashish Ghosh:
Optimized Functional Link Artificial Neural Network for Multi-label Classification. Aust. J. Intell. Inf. Process. Syst. 16(4): 56-63 (2019) - [j88]Sujoy Madhab Roy, Ashish Ghosh:
Real-time record sensitive background classifier (RSBC). Expert Syst. Appl. 119: 104-117 (2019) - [j87]Anwesha Law, Ashish Ghosh:
Multi-label classification using a cascade of stacked autoencoder and extreme learning machines. Neurocomputing 358: 222-234 (2019) - [j86]Badri Narayan Subudhi, Deepak Kumar Rout, Ashish Ghosh:
Big data analytics for video surveillance. Multim. Tools Appl. 78(18): 26129-26162 (2019) - [j85]Debasrita Chakraborty, Vaasudev Narayanan, Ashish Ghosh:
Integration of deep feature extraction and ensemble learning for outlier detection. Pattern Recognit. 89: 161-171 (2019) - [j84]K. Ramachandra Murthy, Ashish Ghosh:
Norm Discriminant Eigenspace Transform for Pattern Classification. IEEE Trans. Cybern. 49(1): 273-286 (2019) - [c47]Lakshay Sahni, Debasrita Chakraborty, Ashish Ghosh:
Implementation of Boolean AND and OR Logic Gates with Biologically Reasonable Time Constants in Spiking Neural Networks. AAAI 2019: 10021-10022 - 2018
- [j83]Ashish Ghosh, Sanmoy Bandyopadhyay:
Image co-segmentation using dual active contours. Appl. Soft Comput. 66: 413-427 (2018) - [j82]Rahul Roy, Susmita Ghosh, Ashish Ghosh:
Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency. Appl. Soft Comput. 73: 394-417 (2018) - [j81]Ajoy Mondal, Ashish Ghosh, Susmita Ghosh:
Scaled and oriented object tracking using ensemble of multilayer perceptrons. Appl. Soft Comput. 73: 1081-1094 (2018) - [j80]Ashish Ghosh, Debasrita Chakraborty, Anwesha Law:
Artificial intelligence in Internet of things. CAAI Trans. Intell. Technol. 3(4): 208-218 (2018) - [j79]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification. Int. J. Fuzzy Syst. 20(6): 1938-1955 (2018) - [j78]Sujoy Madhab Roy, Ashish Ghosh:
Real-Time Adaptive Histogram Min-Max Bucket (HMMB) Model for Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. 28(7): 1513-1525 (2018) - [c46]Debasrita Chakraborty, Deepankar Garg, Ashish Ghosh, Jonathan H. Chan:
Trigger Detection System for American Sign Language using Deep Convolutional Neural Networks. IAIT 2018: 4:1-4:6 - [c45]Rahul Roy, Susmita Ghosh, Ashish Ghosh:
Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine. ICVGIP 2018: 46:1-46:8 - [i1]Namita Jain, Susmita Ghosh, Ashish Ghosh, C. A. Murthy:
Proprties of biclustering algorithms and a novel biclustering technique based on relative density. CoRR abs/1811.04661 (2018) - 2017
- [j77]K. Ramachandra Murthy, Ashish Ghosh:
Noisy-free Length Discriminant Analysis with cosine hyperbolic framework for dimensionality reduction. Expert Syst. Appl. 81: 88-107 (2017) - [j76]Ajoy Mondal, Susmita Ghosh, Ashish Ghosh:
Partially Camouflaged Object Tracking using Modified Probabilistic Neural Network and Fuzzy Energy based Active Contour. Int. J. Comput. Vis. 122(1): 116-148 (2017) - [j75]K. Ramachandra Murthy, Ashish Ghosh:
Moments discriminant analysis for supervised dimensionality reduction. Neurocomputing 237: 114-132 (2017) - [j74]Aloke Datta, Susmita Ghosh, Ashish Ghosh:
Supervised Feature Extraction of Hyperspectral Images Using Partitioned Maximum Margin Criterion. IEEE Geosci. Remote. Sens. Lett. 14(1): 82-86 (2017) - [j73]Badri Narayan Subudhi, Susmita Ghosh, Pradipta Kumar Nanda, Ashish Ghosh:
Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection. Multim. Tools Appl. 76(11): 13511-13543 (2017) - [c44]Anwesha Law, Konika Chakraborty, Ashish Ghosh:
Functional Link Artificial Neural Network for Multi-label Classification. MIKE 2017: 1-10 - [c43]Rahul Roy, Susmita Ghosh, Sung-Bae Cho, Ashish Ghosh:
Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer. MIKE 2017: 144-155 - [e5]Ashish Ghosh, Rajarshi Pal, Rajendra Prasath:
Mining Intelligence and Knowledge Exploration - 5th International Conference, MIKE 2017, Hyderabad, India, December 13-15, 2017, Proceedings. Lecture Notes in Computer Science 10682, Springer 2017, ISBN 978-3-319-71927-6 [contents] - 2016
- [j72]Ajoy Mondal, Susmita Ghosh, Ashish Ghosh:
Robust global and local fuzzy energy based active contour for image segmentation. Appl. Soft Comput. 47: 191-215 (2016) - [j71]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
On the mining of fuzzy association rule using multi-objective genetic algorithms. Int. J. Data Min. Model. Manag. 8(1): 1-31 (2016) - [j70]Badri Narayan Subudhi, Susmita Ghosh, Sung-Bae Cho, Ashish Ghosh:
Integration of fuzzy Markov random field and local information for separation of moving objects and shadows. Inf. Sci. 331: 15-31 (2016) - [j69]Badri Narayan Subudhi, Susmita Ghosh, Simon C. K. Shiu, Ashish Ghosh:
Statistical feature bag based background subtraction for local change detection. Inf. Sci. 366: 31-47 (2016) - [j68]Ajoy Mondal, Susmita Ghosh, Ashish Ghosh:
Efficient silhouette-based contour tracking using local information. Soft Comput. 20(2): 785-805 (2016) - [c42]Ajoy Mondal, K. Ramachandra Murthy, Ashish Ghosh, Susmita Ghosh:
Robust image segmentation using global and local fuzzy energy based active contour. FUZZ-IEEE 2016: 1341-1348 - [c41]Priyakshi Mahanta, Dhruba K. Bhattacharyya, Ashish Ghosh:
PDComp: An Effective PPI complex Finding Method. ICTCS 2016: 123:1-123:6 - [c40]Ajoy Mondal, Ashish Ghosh, Susmita Ghosh:
Prototypes based discriminative appearance model for object tracking. ICVGIP 2016: 2:1-2:8 - [c39]K. Ramachandra Murthy, Ajoy Mondal, Ashish Ghosh:
Maximum Class Boundary Criterion for supervised dimensionality reduction. IJCNN 2016: 4191-4198 - 2015
- [j67]Moumita Roy, Farid Melgani, Ashish Ghosh, Enrico Blanzieri, Susmita Ghosh:
Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled Patterns. IEEE Geosci. Remote. Sens. Lett. 12(6): 1257-1261 (2015) - [j66]Badri Narayan Subudhi, Susmita Ghosh, Ashish Ghosh:
Application of Gibbs-Markov random field and Hopfield-type neural networks for detecting moving objects from video sequences captured by static camera. Soft Comput. 19(10): 2769-2781 (2015) - [j65]Aloke Datta, Susmita Ghosh, Ashish Ghosh:
Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2814-2823 (2015) - 2014
- [j64]Susmita Ghosh, Moumita Roy, Ashish Ghosh:
Semi-supervised change detection using modified self-organizing feature map neural network. Appl. Soft Comput. 15: 1-20 (2014) - [j63]Ashish Ghosh, Ajoy Mondal, Susmita Ghosh:
Moving object detection using Markov Random Field and Distributed Differential Evolution. Appl. Soft Comput. 15: 121-136 (2014) - [j62]Ashish Ghosh, Ajoy Mondal, Susmita Ghosh:
Erratum to "Moving object detection using Markov Random Field and Distributed Differential Evolution" [Appl. Soft Comput. 15(2014) 121-136]. Appl. Soft Comput. 17: 176 (2014) - [j61]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
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 3(1): 13-45 (2014) - [j60]Moumita Roy, Susmita Ghosh, Ashish Ghosh:
A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system. Inf. Sci. 269: 35-47 (2014) - [j59]Moumita Roy, Dipen Routaray, Susmita Ghosh, Ashish Ghosh:
Ensemble of Multilayer Perceptrons for Change Detection in Remotely Sensed Images. IEEE Geosci. Remote. Sens. Lett. 11(1): 49-53 (2014) - [j58]Moumita Roy, Susmita Ghosh, Ashish Ghosh:
A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(4): 1200-1206 (2014) - [c38]Rahul Roy, Ashish Ghosh:
Rule induction based object tracking. ICACCI 2014: 1871-1875 - 2013
- [j57]Ashish Ghosh, Aloke Datta, Susmita Ghosh:
Self-adaptive differential evolution for feature selection in hyperspectral image data. Appl. Soft Comput. 13(4): 1969-1977 (2013) - [j56]Shashi Poddar, Suman Tewary, Deewakar Sharma, Vinod Karar, Ashish Ghosh, Sankar K. Pal:
Non-parametric modified histogram equalisation for contrast enhancement. IET Image Process. 7(7): 641-652 (2013) - [j55]Moumita Roy, Susmita Ghosh, Ashish Ghosh:
Change detection in remotely sensed images using semi-supervised clustering algorithms. Int. J. Knowl. Eng. Soft Data Paradigms 4(2): 118-137 (2013) - [j54]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
A Survey on Fuzzy Association Rule Mining. Int. J. Data Warehous. Min. 9(1): 1-27 (2013) - [j53]Badri Narayan Subudhi, Susmita Ghosh, Ashish Ghosh:
Change detection for moving object segmentation with robust background construction under Wronskian framework. Mach. Vis. Appl. 24(4): 795-809 (2013) - [j52]Anindya Halder, Susmita Ghosh, Ashish Ghosh:
Aggregation pheromone metaphor for semi-supervised classification. Pattern Recognit. 46(8): 2239-2248 (2013) - [j51]K. Ramachandra Murthy, Sambhunath Biswas, Ashish Ghosh:
A Fast and Efficient Clutter Rejection Algorithm for SAR Imagery. IEEE Trans. Aerosp. Electron. Syst. 49(4): 2431-2439 (2013) - [j50]Ashish Ghosh, Badri Narayan Subudhi, Lorenzo Bruzzone:
Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images. IEEE Trans. Image Process. 22(8): 3087-3096 (2013) - [j49]Satchidananda Dehuri, Ashish Ghosh:
Revisiting evolutionary algorithms in feature selection and nonfuzzy/fuzzy rule based classification. WIREs Data Mining Knowl. Discov. 3(2): 83-108 (2013) - [j48]Bhabesh Nath, D. K. Bhattacharyya, Ashish Ghosh:
Incremental association rule mining: a survey. WIREs Data Mining Knowl. Discov. 3(3): 157-169 (2013) - [c37]Aloke Datta, Susmita Ghosh, Ashish Ghosh:
Band elimination of hyperspectral imagery using correlation of partitioned band images. ICACCI 2013: 412-417 - [c36]Badri Narayan Subudhi, Susmita Ghosh, Ashish Ghosh:
Moving object detection using Gaussian background model and Wronskian framework. ICACCI 2013: 1775-1780 - [c35]Ajoy Mondal, Susmita Ghosh, Ashish Ghosh:
Efficient silhouette based contour tracking. ICACCI 2013: 1781-1786 - [c34]Badri Narayan Subudhi, Susmita Ghosh, Ashish Ghosh:
Spatial constraint Hopfield-type neural networks for detecting changes in remotely sensed multitemporal images. ICIP 2013: 3815-3819 - [c33]Priyakshi Mahanta, Dhruba K. Bhattacharyya, Ashish Ghosh:
A Subspace Module Extraction Technique for Gene Expression Data. PReMI 2013: 635-640 - [e4]Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings. Lecture Notes in Computer Science 8251, Springer 2013, ISBN 978-3-642-45061-7 [contents] - 2012
- [j47]Niladri Shekhar Mishra, Susmita Ghosh, Ashish Ghosh:
Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images. Appl. Soft Comput. 12(8): 2683-2692 (2012) - [j46]Satchidananda Dehuri, Rahul Roy, Sung-Bae Cho, Ashish Ghosh:
An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification. J. Syst. Softw. 85(6): 1333-1345 (2012) - [j45]Ashish Ghosh, Badri Narayan Subudhi, Susmita Ghosh:
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. 22(8): 1127-1135 (2012) - [c32]K. Ramachandra Murthy, Ashish Ghosh:
Enhanced eigenspace separation transform for classification. ICVGIP 2012: 48 - [c31]Moumita Roy, Susmita Ghosh, Ashish Ghosh:
A semi-supervised change detection for remotely sensed images using ensemble classifier. IHCI 2012: 1-5 - [c30]Badri Narayan Subudhi, Susmita Ghosh, Ashish Ghosh:
Object and shadow separation using fuzzy Markov Random Field and local gray level co-occurence matrix based textural features. ISDA 2012: 95-100 - [c29]Niladri Shekhar Mishra, Susmita Ghosh, Ashish Ghosh:
Semi-supervised Fuzzy Clustering Algorithms for Change Detection in Remote Sensing Images. PerMIn 2012: 269-276 - [c28]K. Ramachandra Murthy, Ashish Ghosh:
An efficient illumination invariant face recognition technique using two dimensional linear discriminant analysis. RAIT 2012: 62-67 - [c27]Moumita Roy, Suvadeep Das, Susmita Ghosh, Ashish Ghosh:
Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images. RAIT 2012: 379-384 - [c26]Harihar Kalia, Satchidananda Dehuri, Ashish Ghosh:
Scalable Fuzzy Genetic Classifier Based on Fitness Approximation. SEMCCO 2012: 492-499 - [r1]Rajarshi Pal, Ashish Ghosh, Sankar K. Pal:
Video Summarization and Significance of Content. Handbook of Soft Computing for Video Surveillance 2012: 79-102 - 2011
- [j44]B. Uma Shankar, Saroj K. Meher, Ashish Ghosh:
Wavelet-fuzzy hybridization: Feature-extraction and land-cover classification of remote sensing images. Appl. Soft Comput. 11(3): 2999-3011 (2011) - [j43]Satchidananda Dehuri, Bijan Bihari Misra, Ashish Ghosh, Sung-Bae Cho:
A condensed polynomial neural network for classification using swarm intelligence. Appl. Soft Comput. 11(3): 3106-3113 (2011) - [j42]Anindya Halder, Ashish Ghosh, Susmita Ghosh:
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems. Appl. Soft Comput. 11(8): 5770-5781 (2011) - [j41]Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Rajib Mall, Ashish Ghosh:
Parallel Single and Multiple Objectives Genetic Algorithms: A Survey. Int. J. Appl. Evol. Comput. 2(2): 21-57 (2011) - [j40]Ashish Ghosh, Niladri Shekhar Mishra, Susmita Ghosh:
Fuzzy clustering algorithms for unsupervised change detection in remote sensing images. Inf. Sci. 181(4): 699-715 (2011) - [j39]Badri Narayan Subudhi, Pradipta Kumar Nanda, Ashish Ghosh:
Entropy based region selection for moving object detection. Pattern Recognit. Lett. 32(15): 2097-2108 (2011) - [j38]Badri Narayan Subudhi, Pradipta Kumar Nanda, Ashish Ghosh:
A Change Information Based Fast Algorithm for Video Object Detection and Tracking. IEEE Trans. Circuits Syst. Video Technol. 21(7): 993-1004 (2011) - [c25]Tomoharu Nakashima, Ashish Ghosh:
Classification Confidence Of Fuzzy Rule-Based Classifiers. ECMS 2011: 466-471 - [c24]Badri Narayan Subudhi, Ashish Ghosh:
Moving Objects Detection from Video Sequences Using Fuzzy Edge Incorporated Markov Random Field Modeling and Local Histogram Matching. PReMI 2011: 173-179 - [c23]Aditi Mandal, Susmita Ghosh, Ashish Ghosh:
Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images. PReMI 2011: 318-323 - 2010
- [j37]Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone, Saroj K. Meher:
Neuro-fuzzy-combiner: an effective multiple classifier system. Int. J. Knowl. Eng. Soft Data Paradigms 2(2): 107-129 (2010) - [c22]Anindya Halder, Susmita Ghosh, Ashish Ghosh:
Ant Based Semi-supervised Classification. ANTS Conference 2010: 376-383 - [c21]Priyadarshi Kanungo, Pradipta Kumar Nanda, Ashish Ghosh:
Parallel genetic algorithm based adaptive thresholding for image segmentation under uneven lighting conditions. SMC 2010: 1904-1911
2000 – 2009
- 2009
- [j36]Anindya Halder, Ashish Ghosh, Susmita Ghosh:
Aggregation Pheromone Density Based Pattern Classification. Fundam. Informaticae 92(4): 345-362 (2009) - [j35]Susmita Ghosh, Swarnajyoti Patra, Ashish Ghosh:
An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network. Int. J. Approx. Reason. 50(1): 37-50 (2009) - [j34]Ashish Ghosh, B. Uma Shankar, Saroj K. Meher:
A novel approach to neuro-fuzzy classification. Neural Networks 22(1): 100-109 (2009) - [j33]Susmita Ghosh, Megha Kothari, Anindya Halder, Ashish Ghosh:
Use of aggregation pheromone density for image segmentation. Pattern Recognit. Lett. 30(10): 939-949 (2009) - [c20]Susmita Ghosh, Niladri Shekhar Mishra, Ashish Ghosh:
Unsupervised Change Detection of Remotely Sensed Images Using Fuzzy Clustering. ICAPR 2009: 385-388 - [c19]Apurba Gorai, Ashish Ghosh:
Gray-level Image Enhancement By Particle Swarm Optimization. NaBIC 2009: 72-77 - [c18]Anindya Halder, Susmita Ghosh, Ashish Ghosh:
Ant based Supervised and Unsupervised Land Use Map Generation from Remotely Sensed Images. NaBIC 2009: 158-163 - 2008
- [j32]Satchidananda Dehuri, Srikanta Patnaik, Ashish Ghosh, Rajib Mall:
Application of elitist multi-objective genetic algorithm for classification rule generation. Appl. Soft Comput. 8(1): 477-487 (2008) - [j31]Ashish Ghosh, Mrinal Kanti Das:
Non-dominated Rank based Sorting Genetic Algorithms. Fundam. Informaticae 83(3): 231-252 (2008) - [j30]Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh:
Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron. Fundam. Informaticae 84(3-4): 429-442 (2008) - [j29]Ashish Ghosh, Bijnan Parai:
Protein secondary structure prediction using distance based classifiers. Int. J. Approx. Reason. 47(1): 37-44 (2008) - [j28]Satchidananda Dehuri, Ashish Ghosh, Sung-Bae Cho:
Particle Swarm Optimised polynomial neural network for classification: a multi-objective view. Int. J. Intell. Def. Support Syst. 1(3): 225-253 (2008) - [j27]Ashish Ghosh, Anindya Halder, Megha Kothari, Susmita Ghosh:
Aggregation pheromone density based data clustering. Inf. Sci. 178(13): 2816-2831 (2008) - [j26]Ashish Ghosh, Saroj K. Meher, B. Uma Shankar:
A novel fuzzy classifier based on product aggregation operator. Pattern Recognit. 41(3): 961-971 (2008) - [c17]Anindya Halder, Susmita Ghosh, Ashish Ghosh:
Aggregation Pheromone Density Based Classification. ICIT 2008: 100-105 - [p2]Satchidananda Dehuri, Susmita Ghosh, Ashish Ghosh:
Genetic Algorithm for Optimization of Multiple Objectives in Knowledge Discovery from Large Databases. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 1-22 - [p1]Susmita Ghosh, Swarnajyoti Patra, Ashish Ghosh:
A Neural Approach to Unsupervised Change Detection of Remote-Sensing Images. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 243-268 - [e3]Ashish Ghosh, Satchidananda Dehuri, Susmita Ghosh:
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Studies in Computational Intelligence 98, Springer 2008, ISBN 978-3-540-77466-2 [contents] - 2007
- [j25]B. Uma Shankar, Saroj K. Meher, Ashish Ghosh:
Neuro-Wavelet Classifier for Multispectral Remote Sensing Images. Int. J. Wavelets Multiresolution Inf. Process. 5(4): 589-611 (2007) - [j24]Ashish Ghosh, Anindya Sen:
Hybrid-genetic algorithms for flexible ligand docking. J. Intell. Fuzzy Syst. 18(6): 561-574 (2007) - [j23]S. Rakshit, Ashish Ghosh, B. Uma Shankar:
Fast mean filtering technique (FMFT). Pattern Recognit. 40(3): 890-897 (2007) - [j22]Susmita Ghosh, Lorenzo Bruzzone, Swarnajyoti Patra, Francesca Bovolo, Ashish Ghosh:
A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks. IEEE Trans. Geosci. Remote. Sens. 45(3): 778-789 (2007) - [j21]Saroj K. Meher, B. Uma Shankar, Ashish Ghosh:
Wavelet-Feature-Based Classifiers for Multispectral Remote-Sensing Images. IEEE Trans. Geosci. Remote. Sens. 45(6-2): 1881-1886 (2007) - [c16]B. Uma Shankar, Saroj K. Meher, Ashish Ghosh:
Neuro-Wavelet Classifier for Remote Sensing Image Classification. ICCTA 2007: 711-715 - [c15]Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh:
Unsupervised Change Detection in Remote-Sensing Images Using Modified Self-Organizing Feature Map Neural Network. ICCTA 2007: 716-720 - [c14]Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh:
Semi-supervised Learning with Multilayer Perceptron for Detecting Changes of Remote Sensing Images. PReMI 2007: 161-168 - [e2]Ashish Ghosh, Rajat K. De, Sankar K. Pal:
Pattern Recognition and Machine Intelligence, Second International Conference, PReMI 2007, Kolkata, India, December 18-22, 2007, Proceedings. Lecture Notes in Computer Science 4815, Springer 2007, ISBN 978-3-540-77045-9 [contents] - 2006
- [j20]Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh:
Edge histogram based sampling with local search for solving permutation problems. Int. J. Hybrid Intell. Syst. 3(1): 11-22 (2006) - [c13]Swarnajyoti Patra, Susmita Ghosh, Ashish Ghosh:
Unsupervised Change Detection in Remote-Sensing Images using One-dimensional Self-Organizing Feature Map Neural Network. ICIT 2006: 141-142 - [c12]Saroj K. Meher, Ashish Ghosh, B. Uma Shankar, Lorenzo Bruzzone:
Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System. ICIT 2006: 209-212 - [c11]Satchidananda Dehuri, Ashish Ghosh, Rajib Mall:
Particles with Age for Data Clustering. ICIT 2006: 221-224 - [c10]Megha Kothari, Susmita Ghosh, Ashish Ghosh:
Aggregation Pheromone Density Based Clustering. ICIT 2006: 259-264 - [c9]Susmita Ghosh, Megha Kothari, Ashish Ghosh:
Aggregation Pheromone Density Based Image Segmentation. ICVGIP 2006: 118-127 - [c8]B. Uma Shankar, Saroj K. Meher, Ashish Ghosh, Lorenzo Bruzzone:
Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach. ICVGIP 2006: 128-139 - 2005
- [c7]Shigeyoshi Tsutsui, Martin Pelikan, Ashish Ghosh:
Performance of aggregation pheromone system on unimodal and multimodal problems. Congress on Evolutionary Computation 2005: 880-887 - [e1]Bruno Apolloni, Ashish Ghosh, Ferda Nur Alpaslan, Lakhmi C. Jain, Srikanta Patnaik:
Machine Learning and Robot Perception. Studies in Computational Intelligence 7, Springer 2005, ISBN 978-3-540-26549-8 [contents] - 2004
- [j19]Sankar K. Pal, Ashish Ghosh:
Soft computing data mining. Inf. Sci. 163(1-3): 1-3 (2004) - [j18]Ashish Ghosh, Bhabesh Nath:
Multi-objective rule mining using genetic algorithms. Inf. Sci. 163(1-3): 123-133 (2004) - [j17]Ashish Ghosh, Heinz Mühlenbein:
Univariate marginal distribution algorithms for non-stationary optimization problems. Int. J. Knowl. Based Intell. Eng. Syst. 8(3): 129-138 (2004) - 2003
- [j16]Susmita Ghosh, Ashish Ghosh, Sankar K. Pal:
Incorporating Ancestors' Influence in Genetic Algorithms. Appl. Intell. 18(1): 7-25 (2003) - [j15]Ashish Ghosh, Alex Alves Freitas:
Guest editorial data mining and knowledge discovery with evolutionary algorithms. IEEE Trans. Evol. Comput. 7(6): 517-518 (2003) - [c6]Ashish Ghosh, Nikhil R. Pal, Jyotirmay Das:
Fuzzy rule based approaches for cloud cover estimation using Meteosat 5 images. IGARSS 2003: 3438-3440 - 2002
- [c5]Susmita Ghosh, Ashish Ghosh:
A GA-FUZZY Approach to Evolve Hopfield Type Optimum Networks for Object Extraction. AFSS 2002: 444-449
1990 – 1999
- 1998
- [j14]Susmita De, Sankar K. Pal, Ashish Ghosh:
Genotypic and Phenotypic Assortative Mating in Genetic Algorithm. Inf. Sci. 105(1-4): 209-226 (1998) - [j13]Shigeyoshi Tsutsui, Ashish Ghosh:
Search Space Division in GAs using Phenotypic Squares Estimates. Inf. Sci. 109(1-4): 119-133 (1998) - 1997
- [j12]Shigeyoshi Tsutsui, Yoshiji Fujimoto, Ashish Ghosh:
Forking Genetic Algorithms: GAs with Search Space Division Schemes. Evol. Comput. 5(1): 61-80 (1997) - [j11]Ashish Ghosh:
Research activities related to fuzzy sets and fuzzy logic at the Machine Intelligence Unit of the Indian Statistical Institute, Calcutta, India. Fuzzy Sets Syst. 88(1): 130-131 (1997) - [j10]Sankar K. Pal, Susmita De, Ashish Ghosh:
Designing Hopfield Type Networks Using Genetic Algorithms and Its Comparison with Simulated Annealing. Int. J. Pattern Recognit. Artif. Intell. 11(3): 447-461 (1997) - [j9]Shigeyoshi Tsutsui, Ashish Ghosh:
Genetic algorithms with a robust solution searching scheme. IEEE Trans. Evol. Comput. 1(3): 201-208 (1997) - [c4]Shigeyoshi Tsutsui, Ashish Ghosh, David Corne, Yoshiji Fujimoto:
A Real Coded Genetic Algorithm with an Explorer and an Exploiter Populations. ICGA 1997: 238-245 - 1996
- [j8]Sankar K. Pal, Ashish Ghosh:
Review Neuro-fuzzy computing for image processing and pattern recognition. Int. J. Syst. Sci. 27(12): 1179-1193 (1996) - [c3]Ashish Ghosh, Shigeyoshi Tsutsui, H. Tanaka:
Individual aging in genetic algorithms. ANZIIS 1996: 276-279 - [c2]Shigeyoshi Tsutsui, Ashish Ghosh:
On convergence measures for order-based forking genetic algorithms. ANZIIS 1996: 280-283 - [c1]Shigeyoshi Tsutsui, Ashish Ghosh, Yoshiji Fujimoto:
A Robust Solution Searching Scheme in Genetic Search. PPSN 1996: 543-552 - 1995
- [j7]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Modeling of component failure in neural networks for robustness evaluation: an application to object extraction. IEEE Trans. Neural Networks 6(3): 648-656 (1995) - 1993
- [j6]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Self-organization for object extraction using a multilayer neural network and fuzziness measures. IEEE Trans. Fuzzy Syst. 1(1): 54 (1993) - 1992
- [j5]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Object Background Classification Using Hopfield Type Neural Network. Int. J. Pattern Recognit. Artif. Intell. 6(5): 989-1008 (1992) - [j4]Sankar K. Pal, Ashish Ghosh:
Image segmentation using fuzzy correlation. Inf. Sci. 62(3): 223-250 (1992) - [j3]Ashish Ghosh, Sankar K. Pal:
Neural network, self-organization and object extraction. Pattern Recognit. Lett. 13(5): 387-397 (1992) - 1991
- [j2]Ashish Ghosh, Nikhil R. Pal, Sankar K. Pal:
Image segmentation using a neural network. Biol. Cybern. 66(2): 151-158 (1991) - 1990
- [j1]Sankar K. Pal, Ashish Ghosh:
Index of area coverage of fuzzy image subsets and object extraction. Pattern Recognit. Lett. 11(12): 831-841 (1990)
Coauthor Index
[j100] [c53] [c52] [i6] [c50] [i4] [j92] [c48] [j82] [j81] [c45] [i1] [j76] [j74] [j73] [c43] [j72] [j70] [j69] [j68] [c42] [c40] [j67] [j66] [j65] [j64] [j63] [j62] [j60] [j59] [j58] [j57] [j55] [j53] [j52] [c37] [c36] [c35] [c34] [j47] [j45] [c31] [c30] [c29] [c27] [j42] [j40] [c23] [c22] [j36] [j35] [j33] [c20] [c18] [j30] [j27] [c17] [p2] [p1] [e3] [j22] [c15] [c14] [c13] [c10] [c9] [j16] [c5]
Badri N. Subudhi
aka: Badri Narayan Subudhi
aka: Badri Narayan Subudhi
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
