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MOUMITA ROY
MOUMITA ROY
Indian Institute of Information Technology Guwahati
Verified email at iiitg.ac.in
Title
Cited by
Cited by
Year
A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system
M Roy, S Ghosh, A Ghosh
Information Sciences 269, 35-47, 2014
632014
Semi-supervised change detection using modified self-organizing feature map neural network
S Ghosh, M Roy, A Ghosh
Applied Soft Computing 15, 1-20, 2014
542014
Land-cover classification of remotely sensed images using compressive sensing having severe scarcity of labeled patterns
M Roy, F Melgani, A Ghosh, E Blanzieri, S Ghosh
IEEE Geoscience and Remote Sensing Letters 12 (6), 1257-1261, 2015
182015
A neural approach under active learning mode for change detection in remotely sensed images
M Roy, S Ghosh, A Ghosh
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014
162014
Ensemble of multilayer perceptrons for change detection in remotely sensed images
M Roy, D Routaray, S Ghosh, A Ghosh
IEEE Geoscience and Remote Sensing Letters 11 (1), 49-53, 2014
162014
A neural approach under transfer learning for domain adaptation in land-cover classification using two-level cluster mapping
S Chakraborty, M Roy
Applied Soft Computing, 2017
122017
Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach
S Chakraborty, J Phukan, M Roy, BB Chaudhuri
IEEE Geoscience and Remote Sensing Letters, 2019
72019
Modified self-organizing feature map neural network with semi-supervision for change detection in remotely sensed images
S Ghosh, M Roy
International Conference on Pattern Recognition and Machine Intelligence, 98-103, 2011
52011
Deep Neural Network-based Heterogeneous Domain Adaptation using Ensemble Decision Making in Land Cover Classification
I Kalita, M Roy
IEEE Transactions on Artificial Intelligence, 2020
42020
Semisupervised Two-Level Fusion-Based Autoencoded Approach for Low-Cost Domain Adaptation of Remotely Sensed Images
S Chakraborty, M Roy, F Melgani
IEEE Geoscience and Remote Sensing Letters, 2019
42019
Search-based semi-supervised clustering algorithms for change detection in remotely sensed images
M Roy, S Ghosh, A Ghosh
India Conference (INDICON), 2012 Annual IEEE, 503-507, 2012
42012
Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images
M Roy, S Das, S Ghosh, A Ghosh
Recent Advances in Information Technology (RAIT), 2012 1st International …, 2012
42012
A multi-level weighted transformation based neuro-fuzzy domain adaptation technique using stacked auto-encoder for land-cover classification
S Chakraborty, M Roy
International Journal of Remote Sensing 41 (17), 6831-6857, 2020
32020
Change detection in remotely sensed images using semi-supervised clustering algorithms
M Roy, S Ghosh, A Ghosh
International Journal of Knowledge Engineering and Soft Data Paradigms 4 (2 …, 2013
32013
A Study on Nonlinear Classifier-Based Moving Object Tracking
A Mondal, BN Subudhi, M Roy, S Ghosh, A Ghosh
Intelligent Computing, Communication and Devices, 571-578, 2015
22015
A semi-supervised change detection for remotely sensed images using ensemble classifier
M Roy, S Ghosh, A Ghosh
Intelligent Human Computer Interaction (IHCI), 2012 4th International …, 2012
22012
DCNN Based Dual Assurance Model for Age Estimation by Analyzing Facial Images
Z Shah, M Roy
2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020
12020
Unsupervised domain adaptation in land-cover classification under neural approach using feature-level ensemble
S Chakraborty, I Kalita, M Roy
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
Domain adaptation for land-cover classification of remotely sensed images using ensemble of Multilayer Perceptrons
S Chakraborty, M Roy
Recent Advances in Information Technology (RAIT), 2016 3rd International …, 2016
12016
Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network
I Kalita, M Roy
IEEE Transactions on Neural Networks and Learning Systems, 2022
2022
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